Nvidia podle WSJ jedná o podpoře až 600 miliard USD financování spojeného s OpenAI, včetně 250 miliard USD pro datacentrum v Ohiu a 350 miliard USD na nákup GPU. Pokud se to potvrdí, vyvolá to novou debatu o „cirkulárním“ financování AI.
The artificial intelligence boom has reshaped more than the technology industry — it has changed how the biggest AI infrastructure projects get funded. Companies are no longer just competing to build the fastest models. They are racing to secure enough computing power to train them, forcing billions of dollars into new data centers and AI chips.
Nvidia (NASDAQ:NVDA | NVDA Price Prediction) has been the biggest beneficiary of that spending, but as the cost of AI infrastructure continues climbing, investors are beginning to pay closer attention to who is ultimately paying the bill. A new report suggests Nvidia may once again play a larger role than simply supplying GPUs.
Nvidia’s Role Appears to Be Expanding According to The Wall Street Journal, Nvidia is in talks to support as much as $600 billion of OpenAI-related financing. The proposal could include $250 billion tied to OpenAI’s planned Ohio data center and another $350 billion supporting GPU purchases.
If true, the arrangement would represent a dramatic expansion of Nvidia’s relationship with its largest AI customers. OpenAI already depends on Nvidia’s GPUs to train and run models like ChatGPT. Increasingly, it may also depend on Nvidia to help finance the infrastructure required to buy those chips.
This isn’t the first time such reports have surfaced. Last year, reports suggested Nvidia was considering a financing package approaching $100 billion for OpenAI’s infrastructure ambitions. Those negotiations ultimately produced a much smaller investment than initially reported. Nvidia CEO Jensen Huang later indicated media reports overstated the scope of the discussions, explaining the conversations centered around a non-binding memorandum of understanding rather than Nvidia funding the entire project outright.
That history matters because none of the latest reports have been confirmed by Nvidia or OpenAI. Investors should remember that negotiations often evolve — or disappear entirely.
The criticism isn’t new. Nvidia has invested directly in AI startups while partnering with lenders and infrastructure providers to expand AI capacity. Those investments remain tiny compared to Nvidia’s nearly $200 billion in annual revenue and hundreds of billions of dollars in cash generation, but a $600 billion financing package would inevitably attract renewed scrutiny if completed.
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Granted, facilitating financing isn’t uncommon in capital-intensive industries. Aircraft manufacturers, industrial equipment makers, and energy companies have long helped customers secure funding. The difference is the sheer size of today’s AI infrastructure projects.
OpenAI’s Economics Remain the Bigger Question The financing discussion also shines a spotlight on OpenAI itself. Earlier this year, reports indicated OpenAI had reached roughly $2 billion in monthly revenue, an extraordinary growth rate for any software company. Yet multiple reports have also suggested the company continues generating massive operating losses as it spends aggressively on AI infrastructure, talent, and model development.
That creates a delicate balancing act. OpenAI needs ever-larger computing clusters to stay competitive, while Nvidia needs customers capable of purchasing ever-larger quantities of GPUs.
Ironically, that mutual dependence is exactly what makes investors uneasy. If OpenAI requires outside financing to sustain its expansion, skeptics may once again question whether AI chip demand is entirely organic or increasingly supported by creative financing structures.
Key Takeaway In short, investors should treat the reported $600 billion financing discussions with caution until Nvidia or OpenAI confirms the details. Similar reports last year ultimately proved far less sweeping than early headlines suggested.
Regardless, the report underscores a broader trend that matters far more than one rumored transaction: Nvidia is evolving from the world’s dominant AI chip supplier into a central player in financing the AI ecosystem itself. That strategy could deepen customer relationships and protect future GPU demand, but it also invites greater scrutiny over whether demand is being driven by end-market economics or increasingly by the availability of capital.
Ultimately, that distinction may become one of the most important questions surrounding Nvidia’s valuation over the next several years.
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Nvidia a SK Hynix rozšířily dlouhodobé partnerství o dodávky a společný vývoj HBM pro AI čipy. Dohoda má pomoci zmírnit úzké místo v dodávkách paměti, ale nedostatek zatím trvá.
Nvidia’s expanded partnership with SK Hynix has given investors a reason to look for a breakout, although the agreement has not yet produced a measurable market reaction.
NVDA closed Friday at $206.84, down 0.92%, before details of the SK Group initiative were absorbed.
Nvidia already dominates AI accelerators, but its processors cannot be delivered as complete systems without enough high-bandwidth memory.
By securing and jointly developing HBM with SK Hynix, Nvidia is addressing a component that could increasingly determine how many AI factories it can build and ship.
Nvidia and SK Hynix agreed to establish a long-term partnership covering supplies, joint development and optimisation of next-generation AI memory, including HBM.
The arrangement is designed to align memory technology with Nvidia’s computing platforms.
That matters because memory is becoming one of the tightest constraints in the AI supply chain.
Morgan Stanley analyst Joseph Moore described the market as unlike a conventional semiconductor cycle, arguing that memory was becoming “increasingly THE bottleneck” for AI and agentic-computing systems.
Moore also identified Nvidia and Broadcom as among the strongest-value computing names.
His argument supports the investment case behind the SK Hynix agreement: if Nvidia secures more advanced memory while demand remains above supply, it could ship more complete systems and reduce a major execution risk.
The deal does not eliminate shortages immediately.
HBM capacity remains limited, qualification requirements are demanding and Nvidia, hyperscalers and rival accelerator developers are competing for the same advanced supply.
The partnership also links Nvidia to a potentially important customer.
SK Telecom plans to develop an AI factory of up to 2 gigawatts using Nvidia’s DSX architecture and Vera Rubin accelerated-computing systems powered by SK Hynix HBM4.
The first facility is planned to begin operating in 2027.
That creates a strategic loop as SK Hynix supplies and co-develops the memory, Nvidia provides the computing systems, networking, software and data-centre architecture, and SK Telecom becomes an infrastructure customer serving South Korea and the wider Asia-Pacific region.
The deployment could become a valuable reference site for Vera Rubin as Nvidia faces competition from hyperscalers’ custom processors and specialist AI-chip companies.
It also reinforces Nvidia’s shift from selling individual GPUs towards supplying complete AI factories.
However, the companies signed letters of intent for a programme described as exceeding $500 billion.
They did not disclose Nvidia’s expected revenue, system volumes, memory prices or binding purchase commitments.
Also read: Why are Nvidia-backed CoreWeave, Nebius, and IREN stocks plunging?
Execution remains the central risk. KeyBanc analyst John Vinh said the Vera Rubin ramp appeared slightly delayed because of thermal-lid issues and SK Hynix’s HBM4 qualification.
He nevertheless viewed the financial risk as manageable because additional Blackwell shipments could offset slower Rubin deliveries.
Vinh retained an Outperform rating and raised his Nvidia price target to $330 from $310.
His view captures the stock’s tension: the partnership addresses the correct bottleneck, but Nvidia must still qualify HBM4, solve system-level challenges and scale Rubin on schedule.
Investors must also see continued capital spending from Microsoft, Amazon, Alphabet and Meta.
Barron’s recently argued that renewed Big Tech spending commitments were needed to drive sustained gains above $200.
Company updates this year put fresh numbers on the AI (artificial intelligence) build-out, and they are enormous. Alphabet raised its 2026 capital spending forecast to a range of $195 billion to $205 billion, up from $180 billion to $190 billion. Amazon has said it expects to invest about $200 billion this year. And Meta Platforms plans $125 billion to $145 billion, a range it lifted by $10 billion in April.
Add it up, and just three companies intend to spend more than half a trillion dollars in a single year, most of it on AI infrastructure. And that tally leaves out Microsoft, which has pointed to about $190 billion of its own.
No company collects more of that spending than Nvidia (NVDA -1.01%), the dominant supplier of the graphics processing units (GPUs) those data centers are built around. Yet Nvidia stock fell on Thursday alongside other big tech stocks, and it now sits about 12% below its 52-week high.
Customers committing record sums while the supplier's stock drifts lower? That's a disconnect worth examining, because one side of it is probably wrong.
Image source: Nvidia.
Where those budgets end up The budgets are not all chips, but a large share of the money goes where Nvidia lives. Alphabet, for instance, said on its earnings call that about 60% of its technical infrastructure investment in the second quarter went to servers, with the rest going to data centers and networking equipment. The company also raised $49.6 billion in a June stock offering, with scaling AI infrastructure among the stated uses.
The flow shows up directly in Nvidia's results. In its first quarter of fiscal 2027 (the period ended April 26, 2026), revenue rose 85% year over year to a record $81.6 billion. Data center revenue climbed 92% to $75.2 billion, and total revenue rose 20% from the prior quarter as well. And the company guided for about $91 billion in revenue in its fiscal second quarter, all while holding its gross margin near 75%.
"The buildout of AI factories -- the largest infrastructure expansion in human history -- is accelerating at extraordinary speed," said CEO Jensen Huang in the company's fiscal first-quarter earnings release.
In other words, the customers' budgets and the supplier's income statement are telling the same story, and Alphabet's raise this past week extended it into the second half of 2026.
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So why did the stock slip? One possible explanation is that the market punished the spenders on Thursday. Alphabet's shares fell after its capital spending raise, and the sell-off spread across the megacaps, Nvidia included. When investors start doubting whether half a trillion dollars of AI spending will earn its keep, they also start discounting the revenue that spending creates -- and a large share of it lands on Nvidia's income statement.
That's the risk to hold in mind. Nvidia's growth is a direct function of a handful of customers' willingness to keep writing bigger checks. Budgets that accelerate for three years can also flatten, and the semiconductor industry has never escaped its cycles for long. A capital budget is a plan, not a contract, and plans built during a boom can get rewritten quickly.
The same customers are also working to need Nvidia a little less. Meta said on its first-quarter earnings call that it is rolling out more than a gigawatt of its own custom silicon, developed with Broadcom, alongside chips from Advanced Micro Devices -- complementing, for now, the new Nvidia systems it keeps installing.
With all of that said, the valuation asks less than investors might assume. Nvidia trades at about 32 times trailing earnings -- a multiple many slower-growing consumer companies carry -- for a business that just grew 85%. The market, in effect, is already pricing in a meaningful slowdown. Against expected earnings for the next 12 months, the multiple drops to about 21.
So does Thursday's sell-off make Nvidia the way to own the build-out? I think it remains the most direct claim on those budgets, and at this valuation I'd keep owning it. But I'd size the position for what it is: a stock whose earnings depend on a handful of customers' capital budgets -- and capital budgets get revisited every year.
NVIDIA rozšiřuje Agent Toolkit o PhysicsNeMo a CUDA-X, aby vývojáři mohli vytvářet autonomní AI inženýry pro návrh čipů, simulace a ověřování. Nemotron 3 Ultra zároveň vede mezi open modely v agentickém RTL kódování.
NVIDIA expands NVIDIA Agent Toolkit with re-architected NVIDIA PhysicsNeMo libraries and updated NVIDIA CUDA-X libraries, enabling software developers to build autonomous AI engineers with AI physics skills, accelerated solvers and quantum chemistry capabilities.NVIDIA Nemotron 3 Ultra leads among open models in agentic register-transfer level coding with the ACE-RTL agent from NVIDIA Research, helping enterprises build customizable AI agents for chip design and verification.Cadence, Siemens, Synopsys and other industry leaders are using NVIDIA accelerated computing and agentic AI technologies to advance autonomous engineering workflows across chip design, verification, packaging and systems. LONG BEACH, Calif., July 26, 2026 (GLOBE NEWSWIRE) -- NVIDIA today announced an expansion of NVIDIA Agent Toolkit for engineering, now adding NVIDIA PhysicsNeMo™ and CUDA-X™ libraries as agent-ready tools and skills built to transform how the world designs and develops products.
Building the next generation of chips and systems requires teams to connect physics, simulation and performance analysis across increasingly complex design cycles. A new class of autonomous AI engineers is emerging to help take on that complexity — using specialized tools, running simulations and generating high-fidelity data to help scale chip design, verification, packaging and systems.
Now included in NVIDIA Agent Toolkit, NVIDIA has re-architected PhysicsNeMo into a set of agent-friendly libraries and added new and updated CUDA-X libraries to support complex engineering work. PhysicsNeMo provides AI physics skills for training and deploying models, while CUDA-X libraries bring accelerated solvers and quantum chemistry capabilities into agentic engineering workflows.
“Engineering has reached an inflection point. AI can now work with tools of physics, simulation and design,” said Timothy Costa, vice president and general manager of computational engineering at NVIDIA. “With NVIDIA Agent Toolkit, developers can build agentic engineers that reason using physics, run complex simulations and generate high-fidelity data to become a new engine for innovation in chip and system design.”
NVIDIA Agent Toolkit Adds AI Physics and Accelerated Computing Skills for Engineering Agents
NVIDIA Agent Toolkit helps developers build specialized engineering AI assistants connected to domain-specific tools, models and data. With the addition of NVIDIA PhysicsNeMo and CUDA-X libraries, these agents can now use AI physics skills, accelerated solvers and quantum chemistry capabilities for chip, system and industrial engineering.
Key capabilities include:
AI physics skills: NVIDIA PhysicsNeMo libraries help agents train and deploy customizable AI physics models for complex design and simulation tasks, turning model architectures into callable tools for engineering workflows.Iterative sparse solvers: New NVIDIA cuISS (CUDA Iterative Sparse Solvers) library accelerates large sparse linear systems in physics-based and engineering simulations. Designed for flexibility and performance on GPUs, its modern, composable solvers and preconditioners help developers build scalable, production simulation engines for agentic engineering workflows. Direct sparse solvers: NVIDIA cuDSS (CUDA Direct Sparse Solvers) accelerates large, complex sparse linear systems central to electronic design automation (EDA) and scientific simulation. It delivers high performance and numerical robustness for critical workloads like device, circuit and system simulations with scalability to multi-GPU and multi-node deployments in production environments.Quantum chemistry: NVIDIA cuEST (CUDA Electronic Structure Theory) brings high-accuracy quantum chemistry simulations to device-relevant scales, enabling density functional theory (DFT) and post-DFT methods to be integrated into production workflows at scale. cuEST brings production value to customers by supporting a wide range of modern functionals and making increasingly large ground-state and excited-state simulations manageable on NVIDIA GPUs. NVIDIA Nemotron 3 Ultra Open Model Advances Agentic Coding for Chip Design
Chip design depends on specialized register-transfer level (RTL) coding, which demands high accuracy, deep domain expertise and flexibility over deployment.
With ACE-RTL — an agent for designing hardware from NVIDIA Research — NVIDIA Nemotron™ 3 Ultra leads among open models in agentic RTL coding on the comprehensive verilog design problems benchmark across RTL coding tasks.
This represents how Nemotron 3 Ultra offers industry-leading accuracy and efficiency and can be post-trained on proprietary data — deployed locally or on premises — giving enterprises greater control, customization and data privacy as they build AI agents for chip design.
Developers can get started with Nemotron 3 Ultra using Cadence’s harness; Synopsys’ fully autonomous, long-running agents for design verification and analog and mixed-signal workflows; Siemens’ Questa One smart verification agentic toolkit; as well as on Hugging Face.
Software Leaders Build Autonomous AI Engineers With NVIDIA
Industrial engineering leaders are already using the new and expanded NVIDIA Agent Toolkit components to develop autonomous AI engineers.
Cadence is using NVIDIA Nemotron, accelerated computing and CUDA-X libraries with the recently launched Cadence AuraStack AI Super Agent and the Cadence Millennium M2000 platform to autonomously drive advanced packaging and printed circuit board (PCB) design from exploration through signoff, delivering up to 20x faster multiphysics performance. This joins Cadence’s complete portfolio of silicon design super agents which collectively cover the chip design workflow end to end, from architecture through manufacturing signoff.
In addition, the collaboration extends from agentic design to the underlying compute as Cadence’s portfolio of EDA and system design automation tools, including Cadence Jasper, a formal verification platform, is being optimized for the NVIDIA Vera CPU to help engineering teams validate advanced chip designs faster.
Synopsys is using the NVIDIA Agent Toolkit, NVIDIA NIM™ microservices, Nemotron open models, the NVIDIA NeMo™ Gym library and NVIDIA NemoClaw™ blueprints with Synopsys AgentEngineer to build secure, accelerated agentic workflows across chip and system design. Leveraging Ansys Icepak, Synopsys’ agentic workflow autonomously executes simulation setup, and pre- and post-processing for complex GPU cooling design optimization. Synopsys is developing NVIDIA cuISS use cases to accelerate simulation workloads.
The collaboration extends from agentic workflows to the underlying compute platform as Synopsys VCS, a high-performance functional verification solution used to simulate and validate complex chip designs before fabrication, is being optimized for the NVIDIA Vera CPU to help improve verification throughput.
Siemens is using NVIDIA NeMo Gym, Nemotron open models and CUDA-X libraries with the Siemens Fuse EDA AI Agent to orchestrate multi-tool and multi-agent workflows across semiconductor, 3D-IC, PCB and system design, from conception through signoff. In Siemens Solido Characterization Suite, these agentic AI workflows are delivering more than 10x faster library characterization while reducing token costs by more than 10x.
Samsung is using NVIDIA cuLitho and CUDA-X libraries to achieve up to 20x greater performance for computational lithography and applying NVIDIA PhysicsNeMo to perform chip-scale thermal-stress analysis with numerical solver-level accuracy across domains containing up to 10 billion cells.
ChipAgents is using NVIDIA Agent Toolkit to build domain-specific AI agents for chip design and verification. The team is fine-tuning NVIDIA Nemotron models for complex end-to-end semiconductor design and verification workflows including debug, formal verification, coverage and more.
Silvaco is using NVIDIA accelerated computing to scale high-accuracy 3D optical simulation in the Silvaco Victory Device. Running on 32 NVIDIA GPUs interconnected by NVIDIA NVLink™ technology, it completed a 3.2-billion-mesh-node photonic edge coupler simulation in under four hours, a workload beyond the practical limits of CPU-based simulation.
Keysight is harnessing NVIDIA cuDSS to accelerate electromagnetic simulations by up to 10x, while Samsung, Synopsys and TSMC are integrating NVIDIA cuEST into its GPU-accelerated pipeline to achieve up to a 50x speedup for key quantum-chemistry workloads.
Learn more by joining NVIDIA at DAC.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact:
Paris Fox
Corporate Communications
NVIDIA Corporation [email protected]
Certain statements in this press release including, but not limited to, statements as to: With NVIDIA Agent Toolkit, developers being able to build agentic engineers that reason using physics, run complex simulations and generate high-fidelity data to become a new engine for innovation in chip and system design; expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/8cc7fd5d-80e0-4960-9176-41e04d3909a0
NVIDIA Agent Toolkit With NVIDIA PhysicsNeMo and CUDA-X Libraries NVIDIA today announced an expansion of NVIDIA Agent Toolkit for engineering, now adding NVIDIA Physi...
Silvaco oznámila spolupráci s NVIDIA na vývoji digitálních dvojčat pro návrh a výrobu polovodičů s využitím AI a akcelerovaného výpočtu. Firma uvedla, že to má zkrátit simulační cykly z týdnů na dny.
SANTA CLARA, Calif., July 26, 2026 (GLOBE NEWSWIRE) -- Silvaco Group, Inc. (Nasdaq: SVCO) (“Silvaco”), a leading provider of TCAD, EDA software, and semiconductor IP solutions, and NVIDIA, a global leader in accelerated computing and AI, today announced a collaboration to advance next-generation digital twins for semiconductor design and manufacturing using NVIDIA accelerated computing and AI.
Silvaco is combining decades of physics-based modeling expertise with NVIDIA’s accelerated computing, CUDA-X™ libraries, PhysicsNeMo, Omniverse libraries, and Nemotron open models to help customers build, train, and deploy high-fidelity digital twins capable of predicting, optimizing, and validating complex semiconductor systems with unprecedented speed and accuracy.
Together, Silvaco’s physics-based simulation portfolio and NVIDIA accelerated computing and AI will help customers design, simulate and optimize increasingly complex semiconductor technologies.
Partnership Focus Areas
GPU-Accelerated Physics Simulation
Silvaco intends to use NVIDIA accelerated computing and CUDA-X™ libraries to accelerate its semiconductor device, process, photonics, and multiphysics simulation solutions, enabling dramatic reductions in simulation runtimes and increased design productivity. As an early proof point, Silvaco completed a fully scaled 3D FDTD simulation of a photonic edge coupler with 3.2 billion mesh nodes on 32 NVIDIA GPUs connected with NVLink in under four hours. The workload did not converge on CPUs, and the result achieved less than 0.15 dB difference between measurement and simulation.
AI-Driven Surrogate Modeling
Silvaco intends to leverage NVIDIA PhysicsNeMo to develop customizable AI surrogate models that complement high-fidelity physics simulation and accelerate exploration of design alternatives.
Digital Twin Visualization and Collaboration
Silvaco plans to connect its digital twin environment with NVIDIA Omniverse libraries™ and NVIDIA Cosmos™ to deliver collaborative, real-time visualization and simulation environments spanning semiconductor fabs, manufacturing systems, robotics platforms and infrastructure applications to provide interactive visualization and collaboration across semiconductor design and manufacturing workflows.
Scaled Engineering Workflows
Silvaco aims to establish cloud-native workflows that support design, testing, and validation across distributed teams and compute environments.
Delivering Measurable Customer Value
By combining the technologies, Silvaco expects to help customers:
Reduce Simulation Cycles from Weeks to Days
GPU-accelerated simulation and AI-driven modeling will enable faster design iterations and reduced time-to-market.Improve Accuracy and Insight
High-fidelity digital twins will provide deeper visibility into system performance, enabling more precise validation and optimization.Scale Engineering and Collaboration
Cloud-based visualization and AI-driven workflows will enable global teams to collaborate more efficiently and execute complex simulations at scale.
“The convergence of physics-based simulation, accelerated computing, and artificial intelligence is transforming design and manufacturing,” said Walden C. Rhines, President and Chief Executive Officer of Silvaco. “By combining Silvaco’s deep expertise in semiconductor and multiphysics digital twins with NVIDIA’s industry-leading computing and AI platforms, we can help customers model increasingly complex systems with greater speed, fidelity, and confidence. Together, we are positioning the industry for a future where AI-powered digital twins can fundamentally transform how semiconductor technologies are designed, validated, and optimized.”
“Digital twins are becoming essential tools for engineering and manufacturing innovation,” said Da Yang, senior director of product, semiconductor and EDA at NVIDIA. “By using NVIDIA AI, open models, libraries and accelerated computing, Silvaco is connecting high-fidelity simulation, helping customers move faster from modeling to insight across semiconductor design and manufacturing.”
The combination of Silvaco and NVIDIA solutions is expected to enable advanced digital twin applications including:
Semiconductor process, device, packaging, and photonics simulationAI-assisted development of next-generation chips and advanced nodesFactory optimization and predictive manufacturing
This collaboration brings together Silvaco’s semiconductor modeling expertise with NVIDIA accelerated computing and AI to advance high-fidelity simulation, AI surrogate models, and digital twins across semiconductor design and manufacturing.
About Silvaco
Silvaco is a provider of AI-enabled TCAD and EDA solutions, and SIP solutions that enable semiconductor design and digital twin modeling through AI software and innovation. Silvaco’s solutions are used for semiconductor and photonics processes, devices, and systems development across display, power devices, automotive, memory, high-performance compute, foundries, photonics, internet of things, and 5G/6G mobile markets for complex SoC design. Silvaco is headquartered in Santa Clara, California, and has a global presence with offices located in North America, Europe, Brazil, China, Egypt, Japan, Korea, Singapore, Taiwan, and Vietnam. Learn more at silvaco.com.
Safe Harbor Statement
This press release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934, each as amended, that are intended to be covered by the “safe harbor” provisions of those sections. Forward-looking statements give our current expectations and projections relating to our financial condition, results of operations, plans, objectives, future performance and business and can be identified by the fact that they do not relate strictly to historical or current facts. Forward-looking statements are typically identified by the use of words such as “anticipate,” “expect,” “intend,” “plan,” “believe,” “estimate,” “potential,” “continue” and similar expressions, although not all forward-looking statements contain these words. These statements are based on the Company’s current expectations and assumptions and are subject to risks, uncertainties and other factors, including those described in the Company’s most recent Quarterly Report on Form 10-Q and other filings with the Securities and Exchange Commission. These factors may cause actual results to differ materially from those expressed or implied by forward-looking statements. The Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law.
Aubrey Capital Management Ltd cut its position in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 21.1% in the first quarter, according to the company in its most recent disclosure with the Securities and Exchange Commission (SEC). The institutional investor owned 18,000 shares of the computer hardware maker’s stock after selling 4,800 shares during the period. NVIDIA comprises 1.7% of Aubrey Capital Management Ltd’s portfolio, making the stock its 24th largest holding. Aubrey Capital Management Ltd’s holdings in NVIDIA were worth $3,138,000 at the end of the most recent reporting period.
Other institutional investors and hedge funds have also recently modified their holdings of the company. Spectrum Financial Alliance Ltd LLC lifted its position in shares of NVIDIA by 3.8% in the first quarter. Spectrum Financial Alliance Ltd LLC now owns 1,395 shares of the computer hardware maker’s stock valued at $243,000 after acquiring an additional 51 shares in the last quarter. Presidio Capital Management LLC boosted its stake in shares of NVIDIA by 0.4% in the fourth quarter. Presidio Capital Management LLC now owns 15,137 shares of the computer hardware maker’s stock worth $2,823,000 after acquiring an additional 53 shares during the period. LMG Wealth Partners LLC grew its position in shares of NVIDIA by 0.7% during the fourth quarter. LMG Wealth Partners LLC now owns 7,649 shares of the computer hardware maker’s stock worth $1,427,000 after purchasing an additional 53 shares in the last quarter. Vision Financial Markets LLC grew its position in shares of NVIDIA by 1.2% during the third quarter. Vision Financial Markets LLC now owns 4,640 shares of the computer hardware maker’s stock worth $866,000 after purchasing an additional 53 shares in the last quarter. Finally, JGP Global Gestao de Recursos Ltda. raised its stake in NVIDIA by 2.3% during the 4th quarter. JGP Global Gestao de Recursos Ltda. now owns 2,402 shares of the computer hardware maker’s stock valued at $448,000 after purchasing an additional 55 shares during the period. 65.27% of the stock is currently owned by institutional investors.
NVIDIA Price Performance NVIDIA stock opened at $206.84 on Friday. NVIDIA Corporation has a 52-week low of $164.07 and a 52-week high of $236.54. The company has a quick ratio of 2.85, a current ratio of 3.44 and a debt-to-equity ratio of 0.04. The firm’s fifty day moving average is $207.85 and its 200 day moving average is $195.81. The company has a market cap of $5.01 trillion, a price-to-earnings ratio of 31.68, a PEG ratio of 0.40 and a beta of 2.21.
NVIDIA (NASDAQ:NVDA – Get Free Report) last issued its quarterly earnings data on Wednesday, May 20th. The computer hardware maker reported $1.87 EPS for the quarter, topping analysts’ consensus estimates of $1.76 by $0.11. NVIDIA had a net margin of 62.97% and a return on equity of 96.94%. The business had revenue of $81.61 billion during the quarter, compared to analysts’ expectations of $78.42 billion. During the same period last year, the company posted $0.81 EPS. The business’s revenue was up 85.2% on a year-over-year basis. Sell-side analysts forecast that NVIDIA Corporation will post 8.79 EPS for the current fiscal year.
NVIDIA Increases Dividend The firm also recently declared a quarterly dividend, which was paid on Friday, June 26th. Investors of record on Thursday, June 4th were issued a $0.25 dividend. This represents a $1.00 dividend on an annualized basis and a dividend yield of 0.5%. The ex-dividend date of this dividend was Thursday, June 4th. This is a positive change from NVIDIA’s previous quarterly dividend of $0.01. NVIDIA’s payout ratio is 15.31%.
NVIDIA announced that its Board of Directors has initiated a share repurchase program on Wednesday, May 20th that authorizes the company to repurchase $80.00 billion in shares. This repurchase authorization authorizes the computer hardware maker to repurchase up to 1.5% of its stock through open market purchases. Stock repurchase programs are usually an indication that the company’s leadership believes its shares are undervalued.
Key Headlines Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA announced a joint AI research lab with KAIST in Seoul, a $300 million collaboration that will fund researchers, internships, and AI infrastructure to advance agentic AI in South Korea. NVIDIA and KAIST Launch Joint AI Research Lab to Accelerate AI Innovation in Korea Positive Sentiment: The company also struck a $1.5 billion partnership with Amkor to expand advanced semiconductor packaging and test capacity in the U.S., reinforcing NVIDIA’s AI supply chain and manufacturing footprint. Nvidia, Amkor strike $1.5 billion chip packaging deal Positive Sentiment: Jensen Huang and NVIDIA joined Microsoft, Meta, and others in publicly backing open-source AI models, which could support broader AI adoption and future demand for NVIDIA GPUs. Nvidia, Microsoft and other tech giants back open-source AI models Positive Sentiment: Several technical reports say NVDA is holding support and may be forming a bullish inverse head-and-shoulders pattern, while other analysts point to a breakout above the 50-day moving average as a possible catalyst. NVIDIA Corp. (NVDA) Price Forecast: Can NVDA Break Above Key Resistance? Neutral Sentiment: Institutional filings show continued buying from some funds, but insider activity remains dominated by sales, which keeps sentiment mixed rather than decisively bullish. Fund Update: 337,821 NVIDIA (NVDA) shares added to COMGEST GLOBAL INVESTORS S.A.S. portfolio Negative Sentiment: Broader semiconductor shares have pulled back as investors take profits and worry about AI valuation levels and heavy capex spending, which has weighed on NVIDIA along with the rest of the AI trade. Semiconductor Crossroads: Healthy Consolidation or Deeper Repricing? Negative Sentiment: News flow also highlights investor rotation out of the biggest AI winners and concerns that the “Magnificent 7” are digesting a surge in AI infrastructure spending, creating near-term pressure on NVDA despite strong long-term demand. Magnificent 7 stocks shed hundreds of billions amid AI spending fears Wall Street Analysts Forecast Growth Several research firms have weighed in on NVDA. Argus upped their price target on NVIDIA from $220.00 to $270.00 and gave the stock a “buy” rating in a research note on Thursday, May 21st. CICC Research lifted their price objective on shares of NVIDIA from $240.60 to $268.30 and gave the company an “outperform” rating in a research report on Friday, May 22nd. Mizuho set a $300.00 target price on shares of NVIDIA in a report on Thursday, May 21st. President Capital boosted their target price on shares of NVIDIA from $280.00 to $295.00 and gave the stock a “buy” rating in a report on Thursday, May 21st. Finally, Rothschild & Co Redburn upped their target price on shares of NVIDIA from $280.00 to $300.00 and gave the stock a “buy” rating in a research report on Tuesday, May 26th. Three analysts have rated the stock with a Strong Buy rating, forty-eight have assigned a Buy rating and two have issued a Hold rating to the stock. According to data from MarketBeat, the company currently has a consensus rating of “Buy” and a consensus target price of $304.26.
View Our Latest Stock Analysis on NVIDIA
Insider Buying and Selling In other NVIDIA news, Director Stephen C. Neal sold 15,500 shares of the company’s stock in a transaction that occurred on Wednesday, June 3rd. The stock was sold at an average price of $215.73, for a total transaction of $3,343,815.00. Following the sale, the director directly owned 116,135 shares in the company, valued at $25,053,803.55. This represents a 11.77% decrease in their ownership of the stock. The sale was disclosed in a document filed with the SEC, which is available at this link. Also, Director Mark A. Stevens sold 885,000 shares of the firm’s stock in a transaction that occurred on Thursday, June 18th. The shares were sold at an average price of $210.17, for a total value of $186,000,450.00. Following the completion of the sale, the director directly owned 5,207,271 shares of the company’s stock, valued at $1,094,412,146.07. The trade was a 14.53% decrease in their ownership of the stock. The disclosure for this sale is available in the SEC filing. Over the last quarter, insiders sold 1,901,125 shares of company stock worth $410,583,015. Corporate insiders own 3.94% of the company’s stock.
NVIDIA Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
Recommended Stories Five stocks we like better than NVIDIA Telecom Earnings Reveal a Sector That Finally Looks Healthier Defense Earnings Show Readiness Now and Modernization Ahead Why Palantir Investors Aren’t Panicking While the Rest of AI Sells Off MarketBeat Week in Review – 07/20- 07/24 Want to see what other hedge funds are holding NVDA? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for NVIDIA Corporation (NASDAQ:NVDA – Free Report).
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Checchi Capital Advisers LLC grew its stake in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 5.4% during the first quarter, according to the company in its most recent 13F filing with the SEC. The institutional investor owned 188,065 shares of the computer hardware maker’s stock after purchasing an additional 9,606 shares during the quarter. NVIDIA makes up approximately 1.7% of Checchi Capital Advisers LLC’s holdings, making the stock its 4th biggest holding. Checchi Capital Advisers LLC’s holdings in NVIDIA were worth $32,798,000 at the end of the most recent reporting period.
Several other institutional investors and hedge funds have also recently bought and sold shares of NVDA. Lifetime Wealth Management P.C. acquired a new stake in shares of NVIDIA during the fourth quarter worth $26,000. Longview Financial Advisors Inc. bought a new position in shares of NVIDIA in the 1st quarter worth about $27,000. Longfellow Investment Management Co. LLC boosted its holdings in shares of NVIDIA by 47.9% in the 2nd quarter. Longfellow Investment Management Co. LLC now owns 207 shares of the computer hardware maker’s stock valued at $33,000 after buying an additional 67 shares during the period. Spurstone Advisory Services LLC bought a new stake in shares of NVIDIA during the 2nd quarter valued at about $40,000. Finally, Inspire Investing LLC bought a new stake in shares of NVIDIA during the 4th quarter valued at about $44,000. Institutional investors and hedge funds own 65.27% of the company’s stock.
Insider Buying and Selling at NVIDIA In other NVIDIA news, Director John Dabiri sold 625 shares of the stock in a transaction on Wednesday, May 27th. The stock was sold at an average price of $214.00, for a total transaction of $133,750.00. Following the completion of the transaction, the director directly owned 14,163 shares of the company’s stock, valued at approximately $3,030,882. This trade represents a 4.23% decrease in their position. The sale was disclosed in a document filed with the SEC, which can be accessed through this hyperlink. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Stephen C. Neal sold 15,500 shares of NVIDIA stock in a transaction on Wednesday, June 3rd. The shares were sold at an average price of $215.73, for a total value of $3,343,815.00. Following the transaction, the director owned 116,135 shares in the company, valued at approximately $25,053,803.55. This trade represents a 11.77% decrease in their ownership of the stock. Additional details regarding this sale are available in the official SEC disclosure. In the last ninety days, insiders sold 1,901,125 shares of company stock valued at $410,583,015. 3.94% of the stock is owned by corporate insiders.
NVIDIA Stock Down 0.9% NVDA stock opened at $206.84 on Friday. NVIDIA Corporation has a 52 week low of $164.07 and a 52 week high of $236.54. The company has a market capitalization of $5.01 trillion, a price-to-earnings ratio of 31.68, a price-to-earnings-growth ratio of 0.40 and a beta of 2.21. The firm’s 50-day moving average is $207.85 and its two-hundred day moving average is $195.81. The company has a current ratio of 3.44, a quick ratio of 2.85 and a debt-to-equity ratio of 0.04.
NVIDIA (NASDAQ:NVDA – Get Free Report) last posted its quarterly earnings data on Wednesday, May 20th. The computer hardware maker reported $1.87 earnings per share (EPS) for the quarter, beating the consensus estimate of $1.76 by $0.11. NVIDIA had a net margin of 62.97% and a return on equity of 96.94%. The business had revenue of $81.61 billion during the quarter, compared to analysts’ expectations of $78.42 billion. During the same period last year, the firm posted $0.81 earnings per share. The business’s revenue was up 85.2% on a year-over-year basis. On average, analysts forecast that NVIDIA Corporation will post 8.79 earnings per share for the current fiscal year.
NVIDIA announced that its Board of Directors has authorized a share buyback plan on Wednesday, May 20th that allows the company to repurchase $80.00 billion in shares. This repurchase authorization allows the computer hardware maker to repurchase up to 1.5% of its shares through open market purchases. Shares repurchase plans are generally a sign that the company’s management believes its shares are undervalued.
NVIDIA Increases Dividend The company also recently announced a quarterly dividend, which was paid on Friday, June 26th. Shareholders of record on Thursday, June 4th were given a $0.25 dividend. This represents a $1.00 dividend on an annualized basis and a yield of 0.5%. This is a positive change from NVIDIA’s previous quarterly dividend of $0.01. The ex-dividend date was Thursday, June 4th. NVIDIA’s payout ratio is currently 15.31%.
Key Stories Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA announced a joint AI research lab with KAIST in Seoul, a $300 million collaboration that will fund researchers, internships, and AI infrastructure to advance agentic AI in South Korea. NVIDIA and KAIST Launch Joint AI Research Lab to Accelerate AI Innovation in Korea Positive Sentiment: The company also struck a $1.5 billion partnership with Amkor to expand advanced semiconductor packaging and test capacity in the U.S., reinforcing NVIDIA’s AI supply chain and manufacturing footprint. Nvidia, Amkor strike $1.5 billion chip packaging deal Positive Sentiment: Jensen Huang and NVIDIA joined Microsoft, Meta, and others in publicly backing open-source AI models, which could support broader AI adoption and future demand for NVIDIA GPUs. Nvidia, Microsoft and other tech giants back open-source AI models Positive Sentiment: Several technical reports say NVDA is holding support and may be forming a bullish inverse head-and-shoulders pattern, while other analysts point to a breakout above the 50-day moving average as a possible catalyst. NVIDIA Corp. (NVDA) Price Forecast: Can NVDA Break Above Key Resistance? Neutral Sentiment: Institutional filings show continued buying from some funds, but insider activity remains dominated by sales, which keeps sentiment mixed rather than decisively bullish. Fund Update: 337,821 NVIDIA (NVDA) shares added to COMGEST GLOBAL INVESTORS S.A.S. portfolio Negative Sentiment: Broader semiconductor shares have pulled back as investors take profits and worry about AI valuation levels and heavy capex spending, which has weighed on NVIDIA along with the rest of the AI trade. Semiconductor Crossroads: Healthy Consolidation or Deeper Repricing? Negative Sentiment: News flow also highlights investor rotation out of the biggest AI winners and concerns that the “Magnificent 7” are digesting a surge in AI infrastructure spending, creating near-term pressure on NVDA despite strong long-term demand. Magnificent 7 stocks shed hundreds of billions amid AI spending fears Wall Street Analyst Weigh In A number of brokerages have issued reports on NVDA. Barclays reissued an “overweight” rating on shares of NVIDIA in a report on Thursday, May 21st. BTIG Research began coverage on NVIDIA in a report on Wednesday, April 15th. They set a “buy” rating for the company. Daiwa Securities Group increased their price target on NVIDIA from $215.00 to $255.00 and gave the stock an “outperform” rating in a research report on Friday, May 22nd. TD Cowen reissued a “buy” rating and issued a $275.00 price target (up from $235.00) on shares of NVIDIA in a report on Friday, May 15th. Finally, Rothschild & Co Redburn boosted their price objective on NVIDIA from $280.00 to $300.00 and gave the company a “buy” rating in a research report on Tuesday, May 26th. Three investment analysts have rated the stock with a Strong Buy rating, forty-eight have assigned a Buy rating and two have assigned a Hold rating to the company. According to data from MarketBeat.com, the stock presently has an average rating of “Buy” and a consensus price target of $304.26.
Read Our Latest Research Report on NVDA
NVIDIA Company Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
Featured Stories Five stocks we like better than NVIDIA Telecom Earnings Reveal a Sector That Finally Looks Healthier Defense Earnings Show Readiness Now and Modernization Ahead Why Palantir Investors Aren’t Panicking While the Rest of AI Sells Off MarketBeat Week in Review – 07/20- 07/24
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Ethos Financial Group LLC lifted its stake in shares of NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 8.0% during the first quarter, according to the company in its most recent disclosure with the Securities & Exchange Commission. The institutional investor owned 60,983 shares of the computer hardware maker’s stock after purchasing an additional 4,531 shares during the quarter. NVIDIA comprises about 0.8% of Ethos Financial Group LLC’s investment portfolio, making the stock its 28th largest holding. Ethos Financial Group LLC’s holdings in NVIDIA were worth $10,752,000 as of its most recent filing with the Securities & Exchange Commission.
Other institutional investors and hedge funds have also recently bought and sold shares of the company. State Street Corp lifted its position in NVIDIA by 1.2% in the fourth quarter. State Street Corp now owns 991,480,489 shares of the computer hardware maker’s stock worth $184,911,111,000 after purchasing an additional 11,451,386 shares during the period. Geode Capital Management LLC increased its position in shares of NVIDIA by 0.6% during the 4th quarter. Geode Capital Management LLC now owns 588,803,093 shares of the computer hardware maker’s stock valued at $109,446,217,000 after purchasing an additional 3,383,441 shares during the period. Norges Bank bought a new stake in shares of NVIDIA in the 4th quarter worth $62,244,133,000. Bank of America Corp DE raised its stake in shares of NVIDIA by 1.5% in the 4th quarter. Bank of America Corp DE now owns 187,181,484 shares of the computer hardware maker’s stock worth $34,909,347,000 after buying an additional 2,849,678 shares in the last quarter. Finally, Legal & General Group Plc lifted its holdings in shares of NVIDIA by 1.5% in the third quarter. Legal & General Group Plc now owns 181,203,035 shares of the computer hardware maker’s stock valued at $33,808,862,000 after buying an additional 2,609,560 shares during the period. Institutional investors own 65.27% of the company’s stock.
NVIDIA Stock Down 0.9% NVDA stock opened at $206.84 on Friday. The company has a debt-to-equity ratio of 0.04, a current ratio of 3.44 and a quick ratio of 2.85. The firm has a market capitalization of $5.01 trillion, a P/E ratio of 31.68, a P/E/G ratio of 0.40 and a beta of 2.21. NVIDIA Corporation has a 52-week low of $164.07 and a 52-week high of $236.54. The company’s 50 day simple moving average is $207.85 and its 200-day simple moving average is $195.81.
NVIDIA (NASDAQ:NVDA – Get Free Report) last posted its quarterly earnings data on Wednesday, May 20th. The computer hardware maker reported $1.87 EPS for the quarter, topping analysts’ consensus estimates of $1.76 by $0.11. NVIDIA had a net margin of 62.97% and a return on equity of 96.94%. The firm had revenue of $81.61 billion during the quarter, compared to analyst estimates of $78.42 billion. During the same quarter last year, the business posted $0.81 EPS. The company’s revenue was up 85.2% on a year-over-year basis. As a group, equities research analysts anticipate that NVIDIA Corporation will post 8.79 EPS for the current year.
NVIDIA declared that its Board of Directors has authorized a stock repurchase program on Wednesday, May 20th that permits the company to repurchase $80.00 billion in outstanding shares. This repurchase authorization permits the computer hardware maker to repurchase up to 1.5% of its shares through open market purchases. Shares repurchase programs are often an indication that the company’s board of directors believes its stock is undervalued.
NVIDIA Increases Dividend The firm also recently announced a quarterly dividend, which was paid on Friday, June 26th. Stockholders of record on Thursday, June 4th were given a $0.25 dividend. This represents a $1.00 annualized dividend and a dividend yield of 0.5%. This is a boost from NVIDIA’s previous quarterly dividend of $0.01. The ex-dividend date of this dividend was Thursday, June 4th. NVIDIA’s payout ratio is 15.31%.
Insider Transactions at NVIDIA In related news, Director Stephen C. Neal sold 15,500 shares of the firm’s stock in a transaction that occurred on Wednesday, June 3rd. The shares were sold at an average price of $215.73, for a total transaction of $3,343,815.00. Following the completion of the sale, the director directly owned 116,135 shares in the company, valued at approximately $25,053,803.55. This trade represents a 11.77% decrease in their ownership of the stock. The transaction was disclosed in a document filed with the SEC, which can be accessed through the SEC website. Also, Director John Dabiri sold 625 shares of the stock in a transaction that occurred on Wednesday, May 27th. The stock was sold at an average price of $214.00, for a total transaction of $133,750.00. Following the completion of the sale, the director owned 14,163 shares of the company’s stock, valued at approximately $3,030,882. The trade was a 4.23% decrease in their position. The SEC filing for this sale provides additional information. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Insiders sold a total of 1,901,125 shares of company stock valued at $410,583,015 over the last quarter. Company insiders own 3.94% of the company’s stock.
Key Headlines Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA announced a joint AI research lab with KAIST in Seoul, a $300 million collaboration that will fund researchers, internships, and AI infrastructure to advance agentic AI in South Korea. NVIDIA and KAIST Launch Joint AI Research Lab to Accelerate AI Innovation in Korea Positive Sentiment: The company also struck a $1.5 billion partnership with Amkor to expand advanced semiconductor packaging and test capacity in the U.S., reinforcing NVIDIA’s AI supply chain and manufacturing footprint. Nvidia, Amkor strike $1.5 billion chip packaging deal Positive Sentiment: Jensen Huang and NVIDIA joined Microsoft, Meta, and others in publicly backing open-source AI models, which could support broader AI adoption and future demand for NVIDIA GPUs. Nvidia, Microsoft and other tech giants back open-source AI models Positive Sentiment: Several technical reports say NVDA is holding support and may be forming a bullish inverse head-and-shoulders pattern, while other analysts point to a breakout above the 50-day moving average as a possible catalyst. NVIDIA Corp. (NVDA) Price Forecast: Can NVDA Break Above Key Resistance? Neutral Sentiment: Institutional filings show continued buying from some funds, but insider activity remains dominated by sales, which keeps sentiment mixed rather than decisively bullish. Fund Update: 337,821 NVIDIA (NVDA) shares added to COMGEST GLOBAL INVESTORS S.A.S. portfolio Negative Sentiment: Broader semiconductor shares have pulled back as investors take profits and worry about AI valuation levels and heavy capex spending, which has weighed on NVIDIA along with the rest of the AI trade. Semiconductor Crossroads: Healthy Consolidation or Deeper Repricing? Negative Sentiment: News flow also highlights investor rotation out of the biggest AI winners and concerns that the “Magnificent 7” are digesting a surge in AI infrastructure spending, creating near-term pressure on NVDA despite strong long-term demand. Magnificent 7 stocks shed hundreds of billions amid AI spending fears Analysts Set New Price Targets Several brokerages have commented on NVDA. Craig Hallum boosted their price target on shares of NVIDIA from $245.00 to $275.00 and gave the stock a “buy” rating in a research report on Thursday, May 21st. BTIG Research began coverage on NVIDIA in a report on Wednesday, April 15th. They issued a “buy” rating on the stock. Evercore reiterated an “outperform” rating and set a $413.00 price objective (up from $352.00) on shares of NVIDIA in a research report on Thursday, May 21st. Citic Securities raised their price objective on NVIDIA from $242.00 to $315.00 and gave the stock a “buy” rating in a research note on Friday, May 22nd. Finally, Benchmark restated a “buy” rating and issued a $335.00 target price (up from $250.00) on shares of NVIDIA in a report on Thursday, May 21st. Three equities research analysts have rated the stock with a Strong Buy rating, forty-eight have given a Buy rating and two have issued a Hold rating to the company’s stock. According to MarketBeat, the stock has an average rating of “Buy” and an average price target of $304.26.
View Our Latest Analysis on NVDA
NVIDIA Company Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
See Also Five stocks we like better than NVIDIA Telecom Earnings Reveal a Sector That Finally Looks Healthier Defense Earnings Show Readiness Now and Modernization Ahead Why Palantir Investors Aren’t Panicking While the Rest of AI Sells Off MarketBeat Week in Review – 07/20- 07/24
Receive News & Ratings for NVIDIA Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for NVIDIA and related companies with MarketBeat.com's FREE daily email newsletter.
Earlier this month, semiconductor research firm SemiAnalysis reported that Nvidia (NVDA -1.01%) was facing major setbacks with its Kyber NVL144 rack-scale solution. The server cabinet, designed to house Nvidia's Rubin Ultra architecture, had been delayed over 12 months to 2028, according to SemiAnalysis.
Nvidia issued a brief statement saying its roadmap is intact. More recently, CEO Jensen Huang weighed in while speaking to reporters at a developer event.
Nvidia CEO Jensen Huang. Image source: Nvidia Corporation.
Huang's response to the delay claims When asked about potential delays in Vera Rubin, Huang said the reports are "not true." He also explained that "Vera Rubin is already in production. Giant amounts of production incoming."
Although Huang confirmed production, that's not new information -- Nvidia confirmed this back in January. It's also worth noting that while Huang addressed chip production, the report was concerning the Kyber rack. He didn't provide a production timeline, and neither did Nvidia, in its prior response.
Perhaps most important for Nvidia investors is Huang's claim about giant amounts of production, because Vera Rubin is a crucial part of the chipmaker's forward earnings projections and valuation.
Why an intact roadmap matters for Nvidia Nvidia has made a habit of delivering blowout earnings reports, with revenue growing for 14 consecutive quarters. Most recently, revenue was up 85% year over year to a record $81.6 billion in its Q1 fiscal year 2027 (which ended April 26, 2026). That consistent revenue growth stems from its status as the leading GPU company and its practice of updating its AI chips every year. AI companies that want to remain competitive need to continually upgrade to Nvidia's latest chips.
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This has worked out well for Nvidia so far, but any major delay that knocks the chipmaker off its update cadence could negatively impact its earnings. Earlier this year, Huang provided a sales forecast of $1 trillion combined for Blackwell and Vera Rubin through 2027, so there's little room for setbacks. A slowdown would also give other chipmakers, such as Advanced Micro Devices, room to potentially cut into Nvidia's market share.
What to watch Delay concerns for Nvidia look to be overstated, based on Huang's recent comments. And even though SemiAnalysis reported the delays, it's still bullish on Nvidia, forecasting that the chipmaker's data center revenue will exceed analyst estimates by 20% in the second half of its fiscal 2027.
The concrete data will be in Nvidia's upcoming earnings calls, with the next one scheduled for Aug. 26. If Nvidia continues to top analyst expectations and raise guidance, then that will be a good sign that there are no issues with the product roadmap.
Calamos Wealth Management LLC grew its stake in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 2.1% during the first quarter, according to the company in its most recent filing with the Securities and Exchange Commission. The institutional investor owned 976,409 shares of the computer hardware maker’s stock after purchasing an additional 19,758 shares during the period. NVIDIA comprises approximately 5.9% of Calamos Wealth Management LLC’s investment portfolio, making the stock its 2nd largest position. Calamos Wealth Management LLC’s holdings in NVIDIA were worth $170,286,000 as of its most recent SEC filing.
A number of other hedge funds and other institutional investors have also bought and sold shares of NVDA. Norges Bank bought a new position in shares of NVIDIA during the fourth quarter worth about $62,244,133,000. J. Stern & Co. LLP grew its holdings in NVIDIA by 13,709.1% in the fourth quarter. J. Stern & Co. LLP now owns 125,760,307 shares of the computer hardware maker’s stock worth $23,454,297,000 after purchasing an additional 124,849,603 shares during the period. Cardano Risk Management B.V. grew its stake in shares of NVIDIA by 896.4% in the 4th quarter. Cardano Risk Management B.V. now owns 78,123,960 shares of the computer hardware maker’s stock valued at $14,570,119,000 after buying an additional 70,283,539 shares during the period. Capital Research Global Investors increased its holdings in shares of NVIDIA by 16.1% during the third quarter. Capital Research Global Investors now owns 165,377,852 shares of the computer hardware maker’s stock valued at $30,855,564,000 after acquiring an additional 22,896,705 shares in the last quarter. Finally, Laurel Wealth Advisors LLC increased its stake in NVIDIA by 15,496.1% during the 2nd quarter. Laurel Wealth Advisors LLC now owns 21,865,525 shares of the computer hardware maker’s stock valued at $3,454,534,000 after purchasing an additional 21,725,326 shares in the last quarter. Institutional investors own 65.27% of the company’s stock.
Wall Street Analysts Forecast Growth A number of equities research analysts recently commented on NVDA shares. KeyCorp reissued an “overweight” rating and issued a $330.00 price target (up from $310.00) on shares of NVIDIA in a research report on Tuesday, July 14th. DZ Bank reiterated a “buy” rating on shares of NVIDIA in a research note on Thursday, May 21st. Wolfe Research reiterated an “outperform” rating and set a $275.00 target price on shares of NVIDIA in a research report on Thursday, May 21st. Wells Fargo & Company reaffirmed an “overweight” rating and issued a $315.00 price target (up from $265.00) on shares of NVIDIA in a report on Tuesday, May 12th. Finally, Seaport Research Partners upped their target price on shares of NVIDIA from $140.00 to $180.00 and gave the stock a “sell” rating in a report on Thursday, May 21st. Three analysts have rated the stock with a Strong Buy rating, forty-eight have assigned a Buy rating and two have issued a Hold rating to the stock. According to MarketBeat.com, NVIDIA presently has a consensus rating of “Buy” and an average target price of $304.26.
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Key Headlines Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA announced a joint AI research lab with KAIST in Seoul, a $300 million collaboration that will fund researchers, internships, and AI infrastructure to advance agentic AI in South Korea. NVIDIA and KAIST Launch Joint AI Research Lab to Accelerate AI Innovation in Korea Positive Sentiment: The company also struck a $1.5 billion partnership with Amkor to expand advanced semiconductor packaging and test capacity in the U.S., reinforcing NVIDIA’s AI supply chain and manufacturing footprint. Nvidia, Amkor strike $1.5 billion chip packaging deal Positive Sentiment: Jensen Huang and NVIDIA joined Microsoft, Meta, and others in publicly backing open-source AI models, which could support broader AI adoption and future demand for NVIDIA GPUs. Nvidia, Microsoft and other tech giants back open-source AI models Positive Sentiment: Several technical reports say NVDA is holding support and may be forming a bullish inverse head-and-shoulders pattern, while other analysts point to a breakout above the 50-day moving average as a possible catalyst. NVIDIA Corp. (NVDA) Price Forecast: Can NVDA Break Above Key Resistance? Neutral Sentiment: Institutional filings show continued buying from some funds, but insider activity remains dominated by sales, which keeps sentiment mixed rather than decisively bullish. Fund Update: 337,821 NVIDIA (NVDA) shares added to COMGEST GLOBAL INVESTORS S.A.S. portfolio Negative Sentiment: Broader semiconductor shares have pulled back as investors take profits and worry about AI valuation levels and heavy capex spending, which has weighed on NVIDIA along with the rest of the AI trade. Semiconductor Crossroads: Healthy Consolidation or Deeper Repricing? Negative Sentiment: News flow also highlights investor rotation out of the biggest AI winners and concerns that the “Magnificent 7” are digesting a surge in AI infrastructure spending, creating near-term pressure on NVDA despite strong long-term demand. Magnificent 7 stocks shed hundreds of billions amid AI spending fears Insider Buying and Selling In other news, Director Stephen C. Neal sold 15,500 shares of NVIDIA stock in a transaction that occurred on Wednesday, June 3rd. The shares were sold at an average price of $215.73, for a total transaction of $3,343,815.00. Following the completion of the transaction, the director directly owned 116,135 shares in the company, valued at approximately $25,053,803.55. This trade represents a 11.77% decrease in their ownership of the stock. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through the SEC website. Also, Director Mark A. Stevens sold 885,000 shares of the business’s stock in a transaction that occurred on Thursday, June 18th. The stock was sold at an average price of $210.17, for a total value of $186,000,450.00. Following the completion of the sale, the director directly owned 5,207,271 shares in the company, valued at approximately $1,094,412,146.07. This represents a 14.53% decrease in their ownership of the stock. The SEC filing for this sale provides additional information. Insiders have sold 1,901,125 shares of company stock valued at $410,583,015 over the last quarter. Corporate insiders own 3.94% of the company’s stock.
NVIDIA Stock Down 0.9% Shares of NASDAQ:NVDA opened at $206.84 on Friday. The firm has a market capitalization of $5.01 trillion, a P/E ratio of 31.68, a P/E/G ratio of 0.41 and a beta of 2.21. The stock has a 50 day moving average price of $207.85 and a 200-day moving average price of $195.81. NVIDIA Corporation has a 52-week low of $164.07 and a 52-week high of $236.54. The company has a debt-to-equity ratio of 0.04, a quick ratio of 2.85 and a current ratio of 3.44.
NVIDIA (NASDAQ:NVDA – Get Free Report) last announced its quarterly earnings data on Wednesday, May 20th. The computer hardware maker reported $1.87 EPS for the quarter, beating the consensus estimate of $1.76 by $0.11. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.The business had revenue of $81.61 billion during the quarter, compared to analyst estimates of $78.42 billion. During the same quarter last year, the firm posted $0.81 earnings per share. The company’s revenue for the quarter was up 85.2% on a year-over-year basis. As a group, equities research analysts anticipate that NVIDIA Corporation will post 8.79 EPS for the current fiscal year.
NVIDIA Increases Dividend The firm also recently declared a quarterly dividend, which was paid on Friday, June 26th. Investors of record on Thursday, June 4th were given a dividend of $0.25 per share. This is an increase from NVIDIA’s previous quarterly dividend of $0.01. The ex-dividend date of this dividend was Thursday, June 4th. This represents a $1.00 dividend on an annualized basis and a yield of 0.5%. NVIDIA’s dividend payout ratio is 15.31%.
NVIDIA declared that its board has initiated a stock repurchase program on Wednesday, May 20th that authorizes the company to repurchase $80.00 billion in shares. This repurchase authorization authorizes the computer hardware maker to buy up to 1.5% of its shares through open market purchases. Shares repurchase programs are generally an indication that the company’s board of directors believes its shares are undervalued.
NVIDIA Company Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
Further Reading Five stocks we like better than NVIDIA AMD and Cerbras Create A New Blueprint For Hardware Intel Earnings Reveal Whether the Chip Selloff Created a Buy CrowdStrike’s Cerebras Deal Puts Its AI Security Strategy to the Test Plugging In: How Kinder Morgan Powers Up Profits Want to see what other hedge funds are holding NVDA? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for NVIDIA Corporation (NASDAQ:NVDA – Free Report).
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Super Micro Computer po předběžných výsledcích očekává výnosy za 2. čtvrtletí na spodní hraně pásma 11 až 12,5 miliardy USD, ale hrubá marže má vzrůst na 15 % až 17 % z dřívějších 8,2 % až 8,4 %.
Super Micro Computer (SMCI -3.53%) shares surged nearly 20% on July 22 after the company pre-announced strong preliminary results. While its second-quarter revenue is expected to come in toward the low end of its $11 billion to $12.5 billion range, that is still about double the revenue it generated a year ago. More importantly, it projected that its gross margins would rise to a range of 15% to 17%, well above its 8.2% to 8.4% guidance.
Supermicro, which designs and assembles servers and rack solutions for data centers, has struggled with margins, so this is a piece of welcome news. However, this is generally a low-margin business, and the surprising jump in margins is likely largely due to supply shortages.
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There have been shortages of key AI infrastructure components for things like memory, central processing units (CPUs), and graphics processing units (GPUs), so hyperscalers and enterprises that want complete systems right away are more likely to pay up for a complete system from an integrator. A shift toward enterprise or sovereign clients, which have less buying power, can also positively impact margins.
That said, this dynamic could be temporary, and Supermicro is still, by and large, a low-margin middleman. It also has a history of controversy, and its offices in Taiwan were raided at the end of June, related to employees smuggling chips to China. So instead of owning Supermico shares, I think buying Nvidia (NVDA -1.01%) is the much safer and smarter bet.
Image source: The Motley Fool.
Nvidia is the better stock to own
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Supermicro and most other integrators build their servers around Nvidia GPUs, so the strong demand it is seeing and its ability to boost margins speak volumes to the current high-demand environment for Nvidia's chips and components. In fact, this can be a great leading indicator.
When looking at where most of the value resides, this is with Nvidia and its GPUs. Supermicro is largely passing along high GPU prices to its customers; that's why its revenue is so high and its gross margins are generally low. Nvidia, on the other hand, has gross margins around 75%. So, what is good news for Supermicro is ultimately even better news for Nvidia, and you are getting a much more attractive company in Nvidia with a lot less controversy.
As Supermicro's preliminary Q2 numbers show, there is no current let-up in demand for AI infrastructure. At the same time, earlier commentary and an increase in capex from leading foundry Taiwan Semiconductor Manufacturing also point to strong long-term demand. With the king of AI infrastructure trading at a forward P/E of only 16 times fiscal 2028 (ending January 2028) estimates, investors don't need to overthink this and can just buy the stock of the high-quality market leader.
Nvidia před výsledky 26. srpna historicky po oznámení často klesá: v posledních 13 čtvrtletích akcie v pěti dnech po výsledcích osmkrát oslabily. Akcie letos přidaly 11 %.
Nvidia (NVDA -1.01%) has been one of the biggest winners of the artificial intelligence (AI) boom. The tech giant entered the market early and became the AI chip leader, and then it went on to build an AI empire, selling a broad portfolio of related products and services.
All of this has helped the company's earnings reach record levels -- more than $215 billion in revenue and $120 billion in profit in the latest full year. And the stock has also climbed, surging in the triple-digits over five years. Though Nvidia shares have lost some momentum this year, the company is well-positioned to deliver growth to investors over time. It's important to remember that the AI market is expected to surpass $3 trillion early next decade.
So, with a potential catalyst for stock performance on Aug. 26, you may be wondering if you should buy shares before that date. Let's consider what history has to say.
Image source: Getty Images.
Nvidia in the AI market Before diving in, let's take a closer look at Nvidia's path in the AI market so far. This tech giant has been in business for more than 30 years, but in its earlier days, it generated most of its revenue from selling its graphics processing units (GPUs) in the video gaming market. The company, recognizing the power of these chips, then designed a parallel computing platform that allowed for broader use. And when Nvidia chief Jensen Huang saw the AI opportunity, he decided to go all in and design GPUs specifically to suit that purpose.
This proved to be a game-changing decision for the company, as we can see through the revenue growth and stock performance in recent years.
NVDA data by YCharts
Why has Nvidia lost momentum this year? For a few reasons. Investors have worried about the levels of tech spending on AI infrastructure and whether the revenue opportunities will be as big as expected. General concerns about rising prices in the U.S. and turmoil in Iran also have prompted investors to become more cautious -- and rotate out of growth stocks, which are sensitive to economic shifts.
Meanwhile, investors who have chosen to stick with AI stocks in many cases have turned to players that hadn't climbed as much as Nvidia in the earliest stages of the AI boom. For example, memory and storage players such as Micron Technology and Western Digital saw their stock prices advance about 150% from the start of 2023 through the first half of last year, while Nvidia delivered a gain of more than 900%. This year, those two AI stocks have each jumped more than 200%, while Nvidia has delivered an increase of 11%.
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Commitment to innovation But, as I mentioned above, the AI growth story remains solid, and Nvidia's commitment to innovation should keep earnings marching higher. And speaking of earnings, let's now talk about the event on Aug. 26. This is Nvidia's fiscal 2027 second-quarter earnings report.
Should you buy the stock ahead of that event? History shows us the following about Nvidia's stock performance in the five trading days after its earnings reports. After the past 13 quarterly reports, the stock has fallen eight times during the five days that follow. Two of the declines were in the double-digits, and the others were in the single-digits.
So, history tells us that if you buy Nvidia stock ahead of its Aug. 26 report, you may not benefit from a post-earnings gain. Of course, it's important to remember that history isn't always right, but it offers us a general idea of what has commonly happened over time.
Does this mean you should avoid Nvidia stock? Not necessarily. Nvidia remains an excellent buy due to its well-established leadership in AI chips, its expansion across other products and services, and its long-term prospects in the AI market. And right now, trading at 23x forward earnings estimates, it's particularly cheap. This means that you shouldn't rush into Nvidia stock with the expectation of a quick gain after Aug. 26. Instead, it's a better idea to pick up the shares with the idea of focusing on long-term performance -- and there, you might score a major win.
NAVER, NVIDIA a Brookfield plánují rozšířit korejskou AI továrnu v Sejongu z 55 megawattů na 200 megawattů do roku 2028. NVIDIA chce do NAVER investovat 1 miliardu USD.
NAVER, NVIDIA and Brookfield plan to invest in gigawatt-scale, multi-tenant AI cloud infrastructure to power the next generation of AI companies in Korea and the U.S.NAVER and NVIDIA team plan to expand the initial NVIDIA DSX AI factory buildout at GAK Sejong data center from 55 megawatts to 200 megawatts by 2028.NAVER plans to continue its path toward gigawatt-scale sovereign AI infrastructure, deploying the NVIDIA DSX platform to deliver full-stack, lowest-cost AI factory infrastructure for enterprises, industries and government.
SAN FRANCISCO, July 24, 2026 (GLOBE NEWSWIRE) -- AI Summit -- NAVER, NVIDIA and Brookfield today announced a proposed expansion of Korea's sovereign AI factory infrastructure, with planned investments that will grow the initial NVIDIA® DSX™ AI factory deployment to 200 megawatts — more than tripling the 55-megawatt buildout announced last month. NAVER intends to expand its deployment of NVIDIA AI infrastructure to 1 gigawatt.
Announced during Korea President Jae Myung Lee’s AI Summit visit to San Francisco, the planned 200-megawatt expansion marks a significant acceleration of Korea’s national AI ambitions. The expanded infrastructure will be built with the NVIDIA DSX platform at NAVER’s GAK Sejong hyperscale data center in Sejong, South Korea.
NVIDIA plans to invest $1 billion into NAVER Corp. Brookfield has entered into a nonbinding term sheet to fund up to $9 billion. NAVER will fund the remaining amounts to finance the project. NVIDIA’s planned investment is subject to customary closing conditions and NAVER finalizing at least $9 billion of committed financing for the project, separate from NVIDIA’s planned investment. The expanded infrastructure will provide Korea- and U.S.-based AI innovators with access to production-scale AI compute for building next-generation models, agents and AI-powered services.
“NVIDIA’s planned strategic investment and our infrastructure supply agreement with Brookfield have propelled NAVER’s vision for the AI factory business into a robust execution phase,” said Haejin Lee, founder and chairman of NAVER. “Leveraging the solid partnerships with our global partners, we will drive technological innovation, foster a sovereign AI ecosystem and spearhead efforts to strengthen South Korea’s AI competitiveness.”
“The partnership will combine Brookfield’s global AI infrastructure investment capabilities, NAVER’s full-stack AI and data center operating expertise, and NVIDIA’s accelerated computing platform to advance Korea’s AI capabilities,” said Sikander Rashid, global head of AI infrastructure at Brookfield. “As AI adoption accelerates across the global economy, access to trusted, sovereign and scalable AI infrastructure is becoming an increasingly important strategic priority for companies and countries.”
“AI factories are the infrastructure nations need to compete and innovate in the intelligence era,” said Jensen Huang, founder and CEO of NVIDIA. “Together, NAVER, NVIDIA and Brookfield are building sovereign AI infrastructure at the scale needed to fuel Korea’s startups and industries. This is how nations and companies are building their futures in the age of AI.”
Expanding AI Factory Capacity to Fuel AI Innovators
The 200-megawatt AI factory is expected to feature advanced NVIDIA AI infrastructure including the NVIDIA Vera Rubin and NVIDIA Blackwell platforms. It intends to provide the compute, software and support needed to develop and deploy competitive AI models and applications at scale. As an NVIDIA Cloud Partner, NAVER provides deep expertise in operating hyperscale infrastructure powered by the full-stack NVIDIA AI platform.
Today’s proposed expansion builds on the June announcement in which NAVER committed to extending its GAK Sejong data center with NVIDIA DSX, with a long-term path to gigawatt-scale sovereign AI infrastructure to serve Korea’s enterprises, industries, government organizations and global AI cloud customers.
Brookfield Investments Scale AI Infrastructure Deployments
Brookfield has established one of the industry’s leading AI infrastructure investment platforms, with approximately $100 billion of assets under management across the AI infrastructure value chain including data centers, compute, semiconductor manufacturing and dedicated power generation.
The planned NAVER investment will mark another significant milestone in Brookfield’s strategic partnership with NVIDIA. Building on NVIDIA’s participation as a founding partner in the Brookfield Global AI Infrastructure Program, the planned investment combines Brookfield’s capital and AI infrastructure and power expertise with NVIDIA’s accelerated computing platform to support the deployment of large-scale AI factories.
Brookfield has been an active, long-term investor in Korea since establishing a presence in the country in 2014 and currently manages approximately $12 billion of assets across infrastructure, real estate and energy.
NVIDIA DSX Platform Powers Expansion
The NVIDIA DSX platform provides an end-to-end, codesigned stack for AI factories — spanning chips, systems, software, facilities and partner technologies — purpose-built to minimize token cost and accelerate time to first production.
NVIDIA DSX MaxLPS™ software maximizes token throughput per megawatt, while NVIDIA DSX OS™ provides lifecycle management, health automation, resiliency and multi-tenant AI factory management across the expanded infrastructure.
Open Models Accelerate Growth
In addition, the expanded infrastructure builds on NAVER and NVIDIA’s collaboration on open model development for agentic and physical AI. NAVER is advancing its HyperCLOVA X models to be based on NVIDIA Nemotron™ 3 Ultra open models with its proprietary data and training expertise. NAVER is also the first Korean company to join the NVIDIA Nemotron Coalition, contributing to open model development across pretraining, post-training and reinforcement learning.
NAVER plans to launch an AI agent platform in Korea in the second half of the year, powered by NVIDIA Agent Toolkit software including NVIDIA NemoClaw™ blueprints. NAVER is also developing a Seoul World Model using proprietary urban street-view and spatial modeling data, built on NVIDIA Cosmos™ world foundation models.
About NAVER
Founded in 1999, NAVER is Korea’s largest Internet company and one of the world’s top tech companies. Leading cutting-edge technologies, NAVER operates the No.1 search engine in Korea and holds various business portfolios encompassing commerce, fintech, cloud, AI and robotics.
NAVER recorded sales of KRW 12.04 trillion (USD 8.18 billion) in 2025. TEAM NAVER continues to enhance its business portfolio and expand its global presence across Japan, North America, and Europe, while pursuing innovation through continuous research and development in future technologies.
About Brookfield
Brookfield is a leading global investment firm with more than $1 trillion in assets under management that owns and operates real assets and essential service businesses that form the backbone of the global economy. We invest on behalf of institutions and individuals around the world across infrastructure, renewable power and transition, private equity, real estate, and credit—sectors critical to supporting economic growth and productivity. With a heritage spanning more than a century and operations in over 30 countries, we deploy long-term, patient capital to build the foundational assets and businesses that power a more connected, resilient, and sustainable future—seeking to build long-term wealth for our clients while delivering strong risk-adjusted returns for our shareholders.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact:
NVIDIA Corporation
Corporate Communications [email protected]
NAVER Forward-Looking Statements
This press release contains forward-looking statements regarding the NAVER’s future plans, outlook, and initiatives, as of the date of this release. Actual results and outcomes may differ materially depending on future changes in market conditions and business circumstances.
NVIDIA Forward-Looking Statements
Certain statements in this press release including, but not limited to, statements as to: together, NAVER, Brookfield and NVIDIA building sovereign AI infrastructure at the scale needed to fuel Korea’s startups and industries; expectations with respect to NVIDIA’s partnership with NAVER and Brookfield; expectations with respect to demand, growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Nvidia a SK Group oznámily AI iniciativu za více než 500 miliard USD zaměřenou na datová centra a paměť nové generace. Součástí je dlouhodobé partnerství se SK Hynix na zajištění dodávek paměti nové generace pro Nvidia a společný vývoj HBM pro AI trénink, AI agenty a fyzické AI aplikace.
NVIDIA logo is seen in this illustration taken July 20, 2026. REUTERS/Dado Ruvic/Illustration Purchase Licensing Rights, opens new tab
CompaniesSAN FRANCISCO, July 24 (Reuters) - Nvidia (NVDA.O), opens new tab and South Korea's SK Group on Friday unveiled a more than $500 billion AI initiative spanning large-scale AI data centers and next-generation memory, Nvidia said.
The initiative includes a long-term partnership with SK Hynix (000660.KS), opens new tab to secure next-generation memory supply for Nvidia and jointly develop high-bandwidth memory for AI training, AI agents and physical AI applications.
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As part of the initiative, SK Telecom (017670.KS), opens new tab plans to build a 2-gigawatt AI data center powered by Nvidia's Vera Rubin chips and SK Hynix's HBM4 high-bandwidth memory, with the first facility due to come online in 2027, Nvidia added.
Separately, Nvidia said it, Naver (035420.KS), opens new tab and Brookfield plan to expand Naver's AI data center in South Korea.
Reporting by Stephen Nellis in San Francisco and Heekyong Yang and Jack Kim in Seoul; Editing by Chris Reese
Our Standards: The Thomson Reuters Trust Principles., opens new tab
NVIDIA v 1. čtvrtletí fiskálního roku 2027 zvýšila tržby na 81,615 miliardy USD a tržby z datových center vyskočily meziročně o 92 %. Firma zároveň čeká ve 2. čtvrtletí tržby 91,0 miliardy USD.
I keep hitting the buy button on NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) because every quarter AI capex grows larger, and NVIDIA collects at each layer. Hyperscalers order racks, sovereigns order factories, enterprises order runtime. That is the conviction.
The Thesis in One Sentence NVIDIA monetizes today’s hardware cycle at rack scale while building the software and networking tollbooth for the next one. Jensen Huang framed it plainly on the last call: “The buildout of AI factories, the largest infrastructure expansion in human history, is accelerating at extraordinary speed.” The custom thesis is the same one management executes: turnkey Blackwell racks proprietary NVLink interconnects capture today’s capex, then NIM microservices, CUDA, and NVLink Fusion fabric licensing turn one-time hardware sales into structural, compounding cash flow.
Three Reasons the Money Keeps Going Here First, operating leverage is delivering. Fiscal 2026 revenue landed at $215.9 billion, up from $130.5 billion the year prior, with net income of $120.1 billion and operating margin of 60.4%. SG&A fell from 9.0% of revenue in FY2023 to 2.1% in FY2026. Companies do not scale like this without pricing power.
Second, the current quarter confirms the story. Q1 FY2027 revenue hit $81.615 billion, beating consensus by 3.16% on non-GAAP EPS of $1.87, a fourth straight beat. Data Center revenue reached $75.246 billion, up 92% year over year, with networking growing 199%. Gross margin came in at 75.0%. Q2 guide points to $91.0 billion in revenue.
Third, valuation remains reasonable. Forward P/E sits at 23 with a PEG of 0.559. Return on equity is 114.3%. Management authorized an $80.0 billion repurchase and lifted the dividend from $0.01 to $0.25 per share. Retirement accounts get paid to wait.
Don't wait: the analyst who called NVIDIA in 2010 just revealed his top 10 AI stocks. See the full list FREE now.
Why Not the Obvious Alternatives The two names I get asked about are Broadcom (NASDAQ:AVGO) and Marvell Technology (NASDAQ:MRVL). Broadcom’s CEO targets over $100 billion in AI revenue by 2027. That is a 2027 aspiration. NVIDIA already printed $75.2 billion in Data Center revenue in a single quarter. Marvell trades at 47x forward earnings, roughly double NVIDIA’s 23 forward multiple, for slower growth. I would rather own the platform every custom silicon design still has to interconnect with.
The Risk I Refuse to Wave Off China is the real risk. Huang called it out directly: “Losing access to the China AI accelerator market, which we believe will grow to nearly $50 billion, would have a material adverse impact on our business.” The company took a $4.5 billion H20 inventory charge and shipped zero H20 units to China in Q1 FY2027. That is real money. It has not changed my thesis because NVIDIA grew Data Center 92% year over year with China effectively zeroed out, and total supply commitments now stand at $119.0 billion. The rest of the world is absorbing the capacity.
Why the Buy Button Stays Active Analyst consensus is 58 buys to 1 sell with a $302.31 target. This works as long as AI factories keep growing, software attach keeps rising, and NVLink remains the fabric everyone standardizes on. Every quarter so far, that is exactly what has happened. Until that pipeline changes, my money keeps going in.
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Nvidia, Microsoft a další technologičtí giganti vyzvali zákonodárce, aby neomezovali open-source AI modely. Tvrdí, že by to brzdilo konkurenci i inovace.
Item 1 of 3 NVIDIA logo and word "Artificial Intelligence" are seen in this illustration taken July 20, 2026. REUTERS/Dado Ruvic/Illustration
[1/3]NVIDIA logo and word "Artificial Intelligence" are seen in this illustration taken July 20, 2026. REUTERS/Dado Ruvic/Illustration Purchase Licensing Rights, opens new tab
SummaryCompaniesTwo dozen companies, including Meta and IBM, sign letterThey urge lawmakers to avoid 'premature restrictions' on open-source AI modelsUS lawmakers propose AI model kill switches after a rogue OpenAI cyberattackSAN FRANCISCO, July 24 (Reuters) - Nvidia (NVDA.O), opens new tab, Microsoft (MSFT.O), opens new tab and other tech heavyweights made a public case to lawmakers on Friday in favor of open-source AI models, wading into a debate roiling the business and policy worlds over who controls the powerful technology.
In a letter posted on X and also signed by two dozen companies and groups including Meta Platforms (META.O), opens new tab and IBM , Nvidia CEO Jensen Huang said that lawmakers should avoid "premature restrictions on open models that stifle competition or drive innovation overseas."
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The letter adds to the growing debate about open-source models that are harder to regulate, such as Nvidia's own and those released in recent weeks by Chinese labs, and the closed-source models controlled by specific companies such as OpenAI and Anthropic.
In recent months, Silicon Valley business leaders have bristled at the cost of closed source models. The CEOs of Microsoft and defense contractor Palantir Technologies (PLTR.O), opens new tab have publicly argued that open-source models their customers can run inside their own data centers will help control AI costs.
Tech leaders have also chafed at controls that OpenAI and Anthropic build into their models. Hugging Face, the AI coding collaboration site that was hacked by a rogue OpenAI model, this week said that it had to use a Chinese open-source model to defend against the attack because closed-source models have restrictions on use for cybersecurity work.
At the same time, U.S. lawmakers alarmed by the rogue OpenAI cyberattack proposed legislation that would require a "kill switch" for AI models, and President Donald Trump's administration is weighing sanctions on Chinese open-source model makers over alleged theft of U.S. closed-source technology.
The letter from Nvidia and other companies acknowledged the concerns about technology theft but argued they should be addressed "through targeted legal and commercial frameworks rather than sweeping restrictions."
"Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect," the letter said. "Open weight models, on the other hand, allow a broad community of researchers and developers to examine their behavior, identify vulnerabilities, develop safeguards, and improve them over time."
Reporting by Stephen Nellis in San Francisco; Editing by Emelia Sithole-Matarise
Our Standards: The Thomson Reuters Trust Principles., opens new tab
Nvidia, Microsoft a Meta vyzvaly regulátory, aby předčasně neomezovali AI modely s otevřenými váhami. Tvrdí, že by to dusilo konkurenci a mohlo odsunout inovace do zahraničí.
Nvidia, Microsoft, Meta, Palantir and more than 20 other companies released a letter on Friday urging policymakers to avoid "premature restrictions" on open-weight artificial intelligence models that would "stifle competition or drive innovation overseas."
Open-weight AI models are available for users to download, modify and run on their own infrastructure, and they have been the subject of fierce debate within the tech sector in recent weeks.
Chinese open-weight models are gaining steam against leading offerings from American companies like OpenAI and Anthropic, which primarily develop proprietary, closed models. Officials and executives have been weighing whether or not to restrict access to Chinese models in the U.S.
Moonshot AI, a Chinese startup, amplified concerns earlier this month after releasing a model called Kimi K3 that outperforms cutting-edge American offerings across some industry benchmarks. U.S. Treasury Secretary Scott Bessent told CNBC on Tuesday that the Trump administration would look into whether Chinese companies were stealing American intellectual property, and stated that the government has "the ability to sanction them because of this theft."
But in the letter on Friday, the group of U.S. tech companies cautioned against any rash actions. They wrote that open-weight models strengthen competition and ensure that the benefits of the technology are "broadly shared rather than concentrated in a few hands."
"Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect," the letter said. "And concentrating advanced AI capabilities behind a small number of closed models compounds that risk."
Nvidia CEO Jensen Huang and Microsoft CEO Satya Nadella both shared the letter on their personal social media accounts.
Elon Musk, who runs an AI business under his rocket company SpaceX, also applified the letter on social media, writing that it has his "full support" in a post on X. SpaceX did not officially sign the letter.
Read more CNBC tech newsMoonshot AI accessed Nvidia's chips despite Chinese export ban, White House official saysAlphabet and Tesla test Wall Street's patience as AI spending overshadows growthAlphabet earnings takeaways: Q2 revenue beats, GOOGL stock sinks on 2026 capex hikeTesla misses on earnings, as free cash flow turns negative and margins slideOpenAI and Anthropic did not sign the letter. Both companies, which are each valued at nearly $1 trillion, are gearing up for potentially massive IPOs that could land as soon as this year. Anthropic confidentially filed its prospectus with the Securities and Exchange Commission in June, and OpenAI followed suit days later.
Greg Brockman, OpenAI's president, said Thursday that the company believes in broad access, and that he has not been involved in any conversations with the Trump administration about potentially banning Chinese open-weight models in the U.S.
"I think that, that fundamentally, AI and AI usage is something that is actually very important to democratize," Brockman told reporters during a briefing in New York City. "And so, for me, at a sort of deep level, I think that having more models, more usage, that is a good thing."
White House advisor Michael Kratsios on Wednesday said that Moonshot AI developed its Kimi K3 model by distilling Anthropic's technology. Distillation is a term for an AI training method where a smaller, less capable model is built using outputs from an existing, stronger model.
Kratsios wrote in a post on X that legitimate AI distillation plays a vital role in the open innovation ecosystem, but warned that "large-scale, covert industrial distillation aimed at stealing proprietary U.S. technology" is "unacceptable."
In the letter on Friday, the U.S. tech companies said that concerns about unlawful distillation should be addressed through "targeted legal and commercial frameworks" instead of with "sweeping restrictions on techniques that play an important role in AI innovation."
"Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector," the letter said. "This is essential for creating opportunities for innovation and prosperity across the country."
Jensen Huang naznačil, že Nvidia těží z toho, když se AI rozšiřuje co nejvíc, protože každá nová aplikace zvyšuje poptávku po jejím hardwaru. Zároveň to může posílit i zahraniční konkurenty, včetně DeepSeek.
The battle over artificial intelligence is often framed as a race between OpenAI, Anthropic, Google, Meta Platforms (NASDAQ:META | META Price Prediction), and a growing list of Chinese challengers. Investors naturally focus on which company has the smartest chatbot or the most advanced reasoning model. But that may be asking the wrong question.
In a recent open letter advocating for open-weight AI models, Nvidia (NASDAQ:NVDA) CEO Jensen Huang offered a different vision for the industry’s future. Read closely, and his comments reveal something more important than a philosophical argument about open source — they expose the business model that has turned Nvidia into the most valuable infrastructure company in AI.
Nvidia Doesn’t Need to Win the AI Race Huang’s central argument is that America’s AI leadership depends on building an open ecosystem rather than concentrating advanced models in the hands of a few companies. In the letter, backed by organizations including Meta, Microsoft (NASDAQ:MSFT), IBM (NASDAQ:IBM), Hugging Face, Mistral, Mozilla, and the Linux Foundation, he argues that open-weight models expand competition, lower costs, improve customer control, and speed AI adoption across industries.
Granted, that sounds like a policy position. It is also remarkably aligned with Nvidia’s financial interests.
Unlike OpenAI or Anthropic, Nvidia doesn’t sell AI models. It sells the computing infrastructure needed to train, fine-tune, and deploy them. Whether a company uses Meta’s Llama, DeepSeek‘s R1, Mistral’s latest release, or OpenAI’s next frontier model, there’s a good chance Nvidia hardware is powering the workload.
Nvidia doesn’t need one company to dominate AI. It benefits most when everyone builds AI.
Open Models Create Winners — And New Rivals Closed AI models concentrate computing demand among a handful of hyperscalers that operate enormous data centers. Open-weight models spread that demand across startups, universities, governments, manufacturers, healthcare providers, and enterprises that want to run models on their own infrastructure. That’s exactly the kind of diffusion Huang champions.
Recent leaked comments from DeepSeek founder Liang Wenfeng reinforce the point. According to the transcript, DeepSeek remains constrained by compute availability despite operating roughly 20,000 H100-equivalent GPUs. Liang also said Huawei’s production capacity remains limited and that DeepSeek expects to receive “large batches” of Nvidia-powered systems in the coming months following the Trump administration’s decision to permit certain Nvidia AI chip sales into China.
Surprisingly, one of China’s most capable open-model developers may still depend on Nvidia hardware for its next phase of growth.
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That also exposes the biggest tension in Huang’s argument. Nvidia benefits when AI spreads as broadly as possible because every new model, whether developed in Silicon Valley or Beijing, creates demand for GPUs. But that isn’t necessarily good news for every American AI company. Giving DeepSeek more computing power could help it build stronger open models that compete directly with OpenAI, Anthropic, and other U.S. developers. What’s good for Nvidia shareholders isn’t always perfectly aligned with the interests of U.S. frontier-model companies — or policymakers focused on preserving America’s technological lead.
That said, investors shouldn’t assume open models will replace proprietary AI. History suggests markets often support both approaches. Linux became the backbone of cloud computing without eliminating Microsoft Windows, while PostgreSQL expanded without replacing Oracle Database.
AI is likely to follow a similar path, with closed models retaining an edge in frontier reasoning and regulated industries while open models dominate customized deployments, sovereign AI projects, and enterprise fine-tuning. Nvidia is positioned to supply both ecosystems.
Key Takeaway In short, Huang’s recent comments shouldn’t be viewed simply as an endorsement of open-source AI. They’re better understood as an explanation of Nvidia’s long-term strategy.
The company’s real competitive advantage isn’t building the best chatbot. It ensures that every company, government, researcher, and startup that wants to build AI needs Nvidia’s hardware to do it.
Granted, that strategy creates an uncomfortable tradeoff. Broader access to Nvidia’s chips can strengthen overseas competitors like DeepSeek even as it expands Nvidia’s addressable market. Investors, AI developers, and policymakers won’t always reach the same conclusion because they’re optimizing for different outcomes.
Ultimately, Nvidia wins if AI becomes ubiquitous. Regardless of whether OpenAI, DeepSeek, Meta, Anthropic, or another lab develops the world’s best model, widespread AI adoption creates more demand for the infrastructure Nvidia sells. For long-term shareholders, that’s the real message hidden inside Huang’s letter.
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Amkor oznámil rozšířenou spolupráci s Nvidií za 1,5 miliardy USD na pokročilé balení čipů pro AI infrastrukturu. Akcie AMKR po zprávě vzrostly o 4,94 %.
Amkor shares are climbing with conviction. Why is AMKR stock up today? Nvidia–Amkor $1.5B Pact Boosts AI PackagingAmkor has already supplied advanced packaging solutions supporting Nvidia platforms across data center processors, networking chipsets, and accelerated computing systems. The expanded partnership is designed to bring new technologies to market at scale as AI infrastructure demand grows, while strengthening domestic semiconductor manufacturing and supply-chain resilience.
“This strategic partnership with NVIDIA underscores the central role advanced packaging plays in enabling the future of AI,” said Kevin Engel, CEO of Amkor Technology. “Our agreement with NVIDIA accelerates our long-term roadmap and supports our ability to deliver full turnkey advanced packaging and test solutions.”
Amkor Shares Race HigherAMKR Price Action: At the time of publication, Amkor shares are trading 4.94% higher at $68.56, according to data from Benzinga Pro.
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This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
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Ghe LLC v 1. čtvrtletí snížila podíl ve společnosti NVIDIA o 17,9 % a prodala 162 910 akcií. Po prodeji držela 748 086 akcií v hodnotě 130,466 milionu USD.
Ghe LLC reduced its position in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 17.9% during the 1st quarter, according to its most recent filing with the SEC. The firm owned 748,086 shares of the computer hardware maker’s stock after selling 162,910 shares during the quarter. NVIDIA comprises about 27.7% of Ghe LLC’s holdings, making the stock its 2nd largest position. Ghe LLC’s holdings in NVIDIA were worth $130,466,000 at the end of the most recent reporting period.
Other large investors also recently bought and sold shares of the company. Brighton Jones LLC boosted its holdings in NVIDIA by 12.4% in the 4th quarter. Brighton Jones LLC now owns 324,901 shares of the computer hardware maker’s stock valued at $43,631,000 after purchasing an additional 35,815 shares in the last quarter. Bank Pictet & Cie Europe AG raised its stake in shares of NVIDIA by 1.0% during the 4th quarter. Bank Pictet & Cie Europe AG now owns 2,346,417 shares of the computer hardware maker’s stock worth $315,100,000 after buying an additional 22,929 shares in the last quarter. Highview Capital Management LLC DE raised its stake in shares of NVIDIA by 6.7% during the 4th quarter. Highview Capital Management LLC DE now owns 58,396 shares of the computer hardware maker’s stock worth $7,842,000 after buying an additional 3,653 shares in the last quarter. Hudson Value Partners LLC lifted its holdings in shares of NVIDIA by 30.7% in the 4th quarter. Hudson Value Partners LLC now owns 50,658 shares of the computer hardware maker’s stock valued at $6,805,000 after buying an additional 11,900 shares during the period. Finally, Wealth Group Ltd. lifted its holdings in shares of NVIDIA by 15.7% in the 1st quarter. Wealth Group Ltd. now owns 6,598 shares of the computer hardware maker’s stock valued at $715,000 after buying an additional 896 shares during the period. Hedge funds and other institutional investors own 65.27% of the company’s stock.
Analyst Ratings Changes Several equities research analysts have commented on NVDA shares. Mizuho set a $300.00 target price on shares of NVIDIA in a research report on Thursday, May 21st. Wells Fargo & Company reiterated an “overweight” rating and issued a $315.00 price objective (up from $265.00) on shares of NVIDIA in a research note on Tuesday, May 12th. BNP Paribas Exane boosted their price objective on shares of NVIDIA from $270.00 to $285.00 and gave the stock an “outperform” rating in a report on Thursday, May 21st. Daiwa Securities Group upped their target price on shares of NVIDIA from $215.00 to $255.00 and gave the stock an “outperform” rating in a research report on Friday, May 22nd. Finally, Evercore reaffirmed an “outperform” rating and issued a $413.00 target price (up from $352.00) on shares of NVIDIA in a report on Thursday, May 21st. Three equities research analysts have rated the stock with a Strong Buy rating, forty-eight have given a Buy rating and two have assigned a Hold rating to the company. According to MarketBeat, the company currently has a consensus rating of “Buy” and an average target price of $304.26.
Read Our Latest Research Report on NVIDIA
NVIDIA Stock Down 1.6% NVDA stock opened at $208.76 on Friday. The stock has a market capitalization of $5.05 trillion, a P/E ratio of 31.97, a PEG ratio of 0.41 and a beta of 2.21. The company has a debt-to-equity ratio of 0.04, a quick ratio of 2.85 and a current ratio of 3.44. NVIDIA Corporation has a one year low of $164.07 and a one year high of $236.54. The company has a 50 day moving average price of $208.22 and a two-hundred day moving average price of $195.73.
NVIDIA (NASDAQ:NVDA – Get Free Report) last announced its quarterly earnings data on Wednesday, May 20th. The computer hardware maker reported $1.87 earnings per share for the quarter, topping the consensus estimate of $1.76 by $0.11. The business had revenue of $81.61 billion for the quarter, compared to analyst estimates of $78.42 billion. NVIDIA had a net margin of 62.97% and a return on equity of 96.94%. The company’s revenue was up 85.2% on a year-over-year basis. During the same period in the prior year, the firm posted $0.81 EPS. As a group, sell-side analysts expect that NVIDIA Corporation will post 8.79 EPS for the current year.
NVIDIA Increases Dividend The company also recently announced a quarterly dividend, which was paid on Friday, June 26th. Investors of record on Thursday, June 4th were issued a $0.25 dividend. The ex-dividend date was Thursday, June 4th. This is an increase from NVIDIA’s previous quarterly dividend of $0.01. This represents a $1.00 dividend on an annualized basis and a yield of 0.5%. NVIDIA’s payout ratio is 15.31%.
NVIDIA announced that its Board of Directors has initiated a stock repurchase plan on Wednesday, May 20th that authorizes the company to repurchase $80.00 billion in shares. This repurchase authorization authorizes the computer hardware maker to repurchase up to 1.5% of its stock through open market purchases. Stock repurchase plans are generally an indication that the company’s management believes its shares are undervalued.
Insider Activity at NVIDIA In other news, Director Stephen C. Neal sold 15,500 shares of the firm’s stock in a transaction dated Wednesday, June 3rd. The stock was sold at an average price of $215.73, for a total value of $3,343,815.00. Following the transaction, the director directly owned 116,135 shares in the company, valued at $25,053,803.55. This trade represents a 11.77% decrease in their position. The transaction was disclosed in a document filed with the SEC, which is available through this hyperlink. Also, Director Mark A. Stevens sold 885,000 shares of the business’s stock in a transaction dated Thursday, June 18th. The stock was sold at an average price of $210.17, for a total value of $186,000,450.00. Following the sale, the director owned 5,207,271 shares of the company’s stock, valued at $1,094,412,146.07. The trade was a 14.53% decrease in their position. The SEC filing for this sale provides additional information. Over the last 90 days, insiders have sold 1,901,125 shares of company stock worth $410,583,015. 3.94% of the stock is owned by insiders.
NVIDIA News Roundup Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA announced a joint AI research lab with KAIST in Seoul, backed by a $300 million five-year collaboration, to advance agentic AI models for Korean industries and language use cases. The deal includes compute contributions, funding for at least 10 researchers annually, and NVIDIA internships/full-time hiring pathways, reinforcing NVIDIA’s global AI ecosystem and talent pipeline. Article Title Positive Sentiment: NVIDIA’s partnership with Amkor to support U.S. advanced chip packaging expansion is another supportive development, as it strengthens supply-chain capacity for next-generation AI chips and helps meet rising demand for AI infrastructure. Article Title Positive Sentiment: Investor sentiment remains constructive on NVIDIA’s AI leadership, with analysts and market commentators highlighting its dominance in GPUs, strong fundamentals, and technical breakout signals above key moving averages. Article Title Neutral Sentiment: Some commentary suggests the stock may face near-term “sell-the-news” pressure after its latest earnings beat, especially as traders reassess whether AI spending momentum has already been priced in. Neutral Sentiment: Broader AI-capex headlines from Alphabet and other hyperscalers continue to drive sector interest, but they also appear to be fueling rotation within semiconductors rather than uniformly lifting NVIDIA shares. Negative Sentiment: NVIDIA is also facing renewed competitive noise, including AMD’s push with Anthropic and a wave of articles questioning whether large AI spending could eventually favor other chip and memory suppliers, which may temper enthusiasm for NVDA in the short term. Article Title About NVIDIA (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
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Citizens Business Bank v prvním čtvrtletí snížila podíl ve společnosti NVIDIA o 1,7 % na 178 617 akcií. Podíl měl hodnotu 31,151 milionu USD a tvořil 5,2 % portfolia banky.
Citizens Business Bank cut its stake in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 1.7% in the 1st quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The institutional investor owned 178,617 shares of the computer hardware maker’s stock after selling 3,039 shares during the period. NVIDIA makes up approximately 5.2% of Citizens Business Bank’s investment portfolio, making the stock its 3rd biggest position. Citizens Business Bank’s holdings in NVIDIA were worth $31,151,000 at the end of the most recent reporting period.
Other hedge funds and other institutional investors have also recently added to or reduced their stakes in the company. Brighton Jones LLC raised its holdings in shares of NVIDIA by 12.4% in the 4th quarter. Brighton Jones LLC now owns 324,901 shares of the computer hardware maker’s stock worth $43,631,000 after purchasing an additional 35,815 shares in the last quarter. Bank Pictet & Cie Europe AG boosted its holdings in NVIDIA by 1.0% during the fourth quarter. Bank Pictet & Cie Europe AG now owns 2,346,417 shares of the computer hardware maker’s stock worth $315,100,000 after buying an additional 22,929 shares in the last quarter. Highview Capital Management LLC DE grew its position in NVIDIA by 6.7% in the fourth quarter. Highview Capital Management LLC DE now owns 58,396 shares of the computer hardware maker’s stock worth $7,842,000 after buying an additional 3,653 shares during the last quarter. Hudson Value Partners LLC grew its position in NVIDIA by 30.7% in the fourth quarter. Hudson Value Partners LLC now owns 50,658 shares of the computer hardware maker’s stock worth $6,805,000 after buying an additional 11,900 shares during the last quarter. Finally, Wealth Group Ltd. increased its holdings in shares of NVIDIA by 15.7% in the first quarter. Wealth Group Ltd. now owns 6,598 shares of the computer hardware maker’s stock valued at $715,000 after buying an additional 896 shares in the last quarter. Institutional investors own 65.27% of the company’s stock.
NVIDIA Trading Down 1.6% NVIDIA stock opened at $208.76 on Friday. The company has a debt-to-equity ratio of 0.04, a quick ratio of 2.85 and a current ratio of 3.44. The business’s 50-day simple moving average is $208.22 and its 200-day simple moving average is $195.73. The firm has a market capitalization of $5.05 trillion, a PE ratio of 31.97, a PEG ratio of 0.41 and a beta of 2.21. NVIDIA Corporation has a 52 week low of $164.07 and a 52 week high of $236.54.
NVIDIA (NASDAQ:NVDA – Get Free Report) last released its earnings results on Wednesday, May 20th. The computer hardware maker reported $1.87 EPS for the quarter, beating the consensus estimate of $1.76 by $0.11. The firm had revenue of $81.61 billion during the quarter, compared to analysts’ expectations of $78.42 billion. NVIDIA had a net margin of 62.97% and a return on equity of 96.94%. The business’s quarterly revenue was up 85.2% compared to the same quarter last year. During the same period in the prior year, the company earned $0.81 EPS. Equities research analysts forecast that NVIDIA Corporation will post 8.79 earnings per share for the current year.
NVIDIA announced that its board has authorized a share repurchase program on Wednesday, May 20th that permits the company to buyback $80.00 billion in shares. This buyback authorization permits the computer hardware maker to reacquire up to 1.5% of its stock through open market purchases. Stock buyback programs are typically an indication that the company’s leadership believes its stock is undervalued.
NVIDIA Increases Dividend The firm also recently declared a quarterly dividend, which was paid on Friday, June 26th. Shareholders of record on Thursday, June 4th were paid a dividend of $0.25 per share. This is a positive change from NVIDIA’s previous quarterly dividend of $0.01. This represents a $1.00 dividend on an annualized basis and a yield of 0.5%. The ex-dividend date was Thursday, June 4th. NVIDIA’s dividend payout ratio is 15.31%.
Insiders Place Their Bets In other NVIDIA news, Director Stephen C. Neal sold 15,500 shares of the company’s stock in a transaction on Wednesday, June 3rd. The stock was sold at an average price of $215.73, for a total value of $3,343,815.00. Following the sale, the director directly owned 116,135 shares in the company, valued at $25,053,803.55. This represents a 11.77% decrease in their ownership of the stock. The sale was disclosed in a legal filing with the SEC, which is available at this hyperlink. Also, Director Mark A. Stevens sold 885,000 shares of NVIDIA stock in a transaction on Thursday, June 18th. The shares were sold at an average price of $210.17, for a total value of $186,000,450.00. Following the transaction, the director directly owned 5,207,271 shares of the company’s stock, valued at approximately $1,094,412,146.07. The trade was a 14.53% decrease in their ownership of the stock. The SEC filing for this sale provides additional information. Insiders sold a total of 1,901,125 shares of company stock worth $410,583,015 over the last quarter. Company insiders own 3.94% of the company’s stock.
Analysts Set New Price Targets Several equities research analysts have recently commented on NVDA shares. Morgan Stanley set a $288.00 target price on NVIDIA and gave the company an “overweight” rating in a report on Thursday, May 21st. Itau BBA Securities cut their price objective on NVIDIA from $256.00 to $218.00 in a report on Wednesday, June 24th. Deutsche Bank Aktiengesellschaft reaffirmed a “hold” rating and set a $255.00 price objective (up from $220.00) on shares of NVIDIA in a research note on Thursday, May 21st. UBS Group lifted their target price on shares of NVIDIA from $275.00 to $280.00 and gave the stock a “buy” rating in a research report on Thursday, May 21st. Finally, President Capital boosted their price target on shares of NVIDIA from $280.00 to $295.00 and gave the company a “buy” rating in a report on Thursday, May 21st. Three equities research analysts have rated the stock with a Strong Buy rating, forty-eight have assigned a Buy rating and two have given a Hold rating to the stock. According to MarketBeat, the company has an average rating of “Buy” and a consensus price target of $304.26.
Check Out Our Latest Stock Report on NVDA
Key Stories Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA announced a joint AI research lab with KAIST in Seoul, backed by a $300 million five-year collaboration, to advance agentic AI models for Korean industries and language use cases. The deal includes compute contributions, funding for at least 10 researchers annually, and NVIDIA internships/full-time hiring pathways, reinforcing NVIDIA’s global AI ecosystem and talent pipeline. Article Title Positive Sentiment: NVIDIA’s partnership with Amkor to support U.S. advanced chip packaging expansion is another supportive development, as it strengthens supply-chain capacity for next-generation AI chips and helps meet rising demand for AI infrastructure. Article Title Positive Sentiment: Investor sentiment remains constructive on NVIDIA’s AI leadership, with analysts and market commentators highlighting its dominance in GPUs, strong fundamentals, and technical breakout signals above key moving averages. Article Title Neutral Sentiment: Some commentary suggests the stock may face near-term “sell-the-news” pressure after its latest earnings beat, especially as traders reassess whether AI spending momentum has already been priced in. Neutral Sentiment: Broader AI-capex headlines from Alphabet and other hyperscalers continue to drive sector interest, but they also appear to be fueling rotation within semiconductors rather than uniformly lifting NVIDIA shares. Negative Sentiment: NVIDIA is also facing renewed competitive noise, including AMD’s push with Anthropic and a wave of articles questioning whether large AI spending could eventually favor other chip and memory suppliers, which may temper enthusiasm for NVDA in the short term. Article Title NVIDIA Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
Featured Stories Five stocks we like better than NVIDIA Premium Retail’s Stress Test Is Separating Winners From Losers D-Wave Quantum or a Quantum ETF: Which Is the Better Bet? GE Vernova Just Sent a Mixed AI Signal to Investors Alphabet Crushed Earnings, But One Number Spooked the Market Want to see what other hedge funds are holding NVDA? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for NVIDIA Corporation (NASDAQ:NVDA – Free Report).
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According to the latest estimates, Nvidia (NASDAQ: NVDA) is scheduled to pay its third quarterly dividend of 2026 on October 2.
The chipmaker will reward shareholders with $0.25 per share, meaning the payment will remain unchanged from the previous Nvidia dividend payout date on June 26, as per the data Finbold assessed on Dividend.com.
Like the June payout, the upcoming dividend is a continuation of the company’s new dividend policy of distributing 50% of free cash flow via dividends and share buybacks.
Shareholders holding 100 NVDA shares will receive $25 in dividends pre-tax – a significant increase from just $1 received in April.
Nvidia stock dividend schedule. Source: Dividend.com New Nvidia dividend strategy continues With about 24.391 billion shares outstanding, the total dividend payout will amount to approximately $6.1 billion. To be eligible for the next Nvidia stock dividend, investors will have to have purchased their shares by August 27, at least according to the current estimates.
As of press time, the company’s projected three-year dividend compound annual growth rate (CAGR) stands at 262.2% for 2026 and 197.4% for 2027. On the other hand, the projected five-year CAGR is expected to exceed 116% in 2026 and 128% in 2027. The estimated 10-year dividend CAGR is projected at more than 51%.
Despite the rapid dividend growth, however, Nvidia’s forward payout ratio remains just 7.84%, suggesting the company retains the vast majority of its earnings for investments. Nonetheless, the company has increased its dividend for three consecutive years, showing it still remains committed to returning capital, even while maintaining an aggressive growth strategy.
Overall, Nvidia currently has a dividend yield of 0.13%. For comparison, the average yield in the sector is 1.37%. Finally, the stock pays dividends on a quarterly basis, and the price usually recovers within 2.5 days after the ex-dividend date.
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NVIDIA a KAIST spouštějí v Soulu společnou AI laboratoř zaměřenou na agentní AI pro korejský jazyk a průmysl. Projekt má zahrnovat financování alespoň 10 výzkumníků KAIST ročně a spolupráci v objemu 300 milionů dolarů.
NVIDIA and KAIST are launching a joint AI research lab at the KAIST Kim Jaechul Graduate School of AI in Seoul, dedicated to advancing agentic AI models and agent systems built for South Korea’s industries, language and future.The collaboration includes compute contributions, funding for at least 10 KAIST researchers annually with NVIDIA internships, plus full-time NVIDIA roles for top Korean researchers — creating new pathways for Korea’s AI talent.A core focus is developing models optimized for Korea, using NVIDIA Nemotron open models and local NVIDIA Cloud Partner infrastructure to build a pipeline from academic research to enterprise and national AI deployments. SANTA CLARA, Calif. and SEOUL, July 23, 2026 (GLOBE NEWSWIRE) -- NVIDIA and the Korea Advanced Institute of Science and Technology (KAIST) today announced the launch of a joint AI research laboratory at the KAIST Kim Jaechul Graduate School of AI in Seoul, dedicated to advancing agentic AI for South Korea.
The collaboration will establish a robust academic AI research program, bringing together NVIDIA full-stack AI expertise, NVIDIA Nemotron™ open models and NVIDIA AI Cloud partner computing with the world-class scientific talent at KAIST, one of Asia’s premier research universities.
“Korea is home to leading AI researchers and is one of the world’s most advanced technology ecosystems,” said Bill Dally, chief scientist and senior vice president of research at NVIDIA. “The joint NVIDIA-KAIST research lab will provide a foundation for the next frontier of AI research to accelerate AI models and agent systems built for Korea’s industries, language and future.”
“AI research is entering a new era — one that requires frontier talent, large-scale infrastructure and deep collaboration across academia and industry,” said Hyunwoo Kim, incoming faculty member at the KAIST Kim Jaechul Graduate School of AI, who will serve as head of the joint NVIDIA-KAIST lab upon joining KAIST. “Together, NVIDIA and KAIST Kim Jaechul Graduate School of AI will pursue ambitious work that helps Korea attract and retain top AI scientists while building lasting ties with NVIDIA’s global research organization.”
Full-Stack Infrastructure, Open Models and Collaboration Fuel Korea’s AI Future
The lab will be established at the KAIST Kim Jaechul Graduate School of AI in Seoul. KAIST, headquartered in the tech hub of Daejeon, has a strong focus on public research spanning engineering, AI, semiconductor technology, robotics and digital humanities.
The joint lab plans to fund at least 10 KAIST researchers annually and provide each with internship opportunities at NVIDIA. In addition, NVIDIA plans to hire exceptional Korean researchers for full-time positions. Together, these efforts will create stronger pathways for Korea’s top AI talent to pursue ambitious research, build long-term careers and deepen global collaboration between academia and industry.
The $300 million collaboration is expected to include $50-million-per-year compute contributions across an initial five-year period. Compute infrastructure from local NVIDIA Cloud Partners will provide researchers with direct access to the latest NVIDIA AI infrastructure.
Among the lab’s priorities will be developing models optimized for the Korean language and Korea-specific use cases, with NVIDIA Nemotron open models to advance the country’s AI capabilities, fostering a pipeline from academic discovery to enterprise and national AI deployments.
About KAIST
The Korea Advanced Institute of Science and Technology (KAIST) is a public research university in Daejeon, South Korea. Founded in 1971, KAIST is consistently ranked among Asia’s top universities in science and engineering and has produced many of Korea’s leading scientists, engineers, and entrepreneurs. For more information, visit www.kaist.ac.kr.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact:
Corporate Communications
NVIDIA Corporation [email protected]
Certain statements in this press release including, but not limited to, statements as to: the joint NVIDIA-KAIST research lab providing a foundation for the next frontier of AI research to accelerate AI models and agent systems built for Korea’s industries, language and future; expectations with respect to NVIDIA’s collaboration with KAIST; expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Podle neověřených tvrzení z Číny může DeepSeek s Huawei narušit softwarový náskok NVIDIA v oblasti CUDA. Akcie NVDA za poslední rok vzrostly o 22 % a firma právě vykázala čtvrtletní tržby 81,61 miliardy USD. To by mohlo změnit výhled pro NVDA, i když firma dál roste velmi silně.
The bull case for NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) looks strong on paper. NVDA stock trades at $208.48, up 22% over the past year; the company just posted $81.61 billion in quarterly revenue; and NVIDIA CEO Jensen Huang keeps describing the AI buildout as the largest infrastructure project in history.
However, a reported set of remarks out of China this week hits at the one thing bulls take for granted: NVIDIA’s CUDA software moat. If the thesis is right, it changes the math on NVDA stock; by extension, this could also carry negative implications for the iShares Semiconductor ETF (NASDAQ:SOXX) as well as individual U.S. chip names like Intel (NASDAQ:INTC) and Advanced Micro Devices (NASDAQ:AMD).
The Chinese CEO Behind the Bear Case According to a summary of a leaked investor call attributed to DeepSeek CEO Liang Wenfeng, posted on X by Citrini Research analyst Jukan (@jukan05), DeepSeek is working closely with Huawei and believes it can secure roughly 16,000 Huawei AI chips. The remarks are reported and unverified.
The reported claims go further. Wenfeng allegedly argued that AI-powered code generation and languages such as TileLang could rapidly lower the CUDA ecosystem’s barriers to entry, and that DeepSeek has already cut its software dependence on NVIDIA using its own compiler and a TileLang-based environment. Port that stack to Huawei silicon, the argument goes, and Huawei’s 950 SuperNode could replace workloads currently handled by NVIDIA’s GB200 and GB300.
Jukan’s own summary characterization, not a Wenfeng quote, was blunt: “The end of CUDA’s moat is approaching. The ecosystem problem for Chinese chips could be solved within a year. The only real bottleneck left is production itself.” He added he was “Very bearish on NVDA.”
A Balanced View: The Gap Is Still Real Even the leaked remarks concede NVIDIA’s lead. It reportedly takes roughly four Huawei cards to match one NVIDIA card, with Huawei described as about two years behind. Porting an unproven software stack across ecosystems is genuinely hard.
The fundamentals reinforce that. NVIDIA’s Data Center revenue hit $75.25 billion, up 92%, non-GAAP EPS came in at $1.87 versus the $1.77 estimate, and management disclosed $119 billion in supply-related commitments alongside an $80 billion buyback authorization. NVIDIA stock carries a trailing P/E ratio of 32x, and because earnings are compounding so quickly, the forward multiple looks meaningfully lower.
Analyst sentiment on NVDA remains overwhelmingly bullish: 58 Buys, 2 Holds, and 1 Sell. That lopsided tally underscores how far Wall Street’s consensus sits from the CUDA-erosion thesis outlined above.
Earnings Preview: August 26 NVIDIA reports its fiscal Q2 2027 results on August 26 after the close. NVIDIA’s guidance calls for revenue of $91 billion plus or minus 2% with non-GAAP gross margin of 75%, and it explicitly excludes any Data Center compute revenue from China, meaning China weakness is already priced into the outlook.
Investors can watch for Data Center growth, the Blackwell and Vera Rubin ramp, gross margin durability, and any direct commentary from Huang addressing the CUDA-moat narrative. The CUDA erosion thesis is a real multi-year risk resting on unverified claims, set against a company still growing at extraordinary rates. That tension, and not just a single verdict, is what NVIDIA shareholders need to sit with.
Nvidia klesla o 2,18 % v obchodování, i když Alphabet zvýšil výhled kapitálových výdajů na rok 2026 na 195–205 miliard USD. Investoři se přesunuli k výrobcům paměťových čipů a specializovaným čipům.
Nvidia NVDA shares fell in trading on Thursday even after Alphabet raised its capital expenditure guidance for 2026, as investors appeared to rotate toward memory and semiconductor specialists instead of the largest technology stocks.
Nvidia stock declined 2.18% in trading, snapping a 3-day winning streak, while Micron Technology and SK Hynix rose 2.5% and 2.8%, respectively.
The moves followed Alphabet’s quarterly earnings, in which the Google parent increased its 2026 capital expenditure guidance to between $195 billion and $205 billion, up from its previous forecast of $180 billion to $190 billion.
The revised spending outlook eased concerns that investment in artificial intelligence infrastructure could slow.
Much of the additional spending is expected to go toward expanding AI infrastructure, including chips and memory, benefiting suppliers across the semiconductor industry.
However, Nvidia did not immediately participate in the rally.
Alphabet shares also came under pressure, falling almost 6.3% despite reporting stronger-than-expected earnings, as investors focused on the company's higher AI spending commitments.
The market reaction suggested investors may be shifting away from the largest technology companies and toward more specialized AI hardware providers.
A recent trend had seen investors sell semiconductor stocks in favor of large technology companies.
Alphabet’s latest spending guidance appears to have reversed part of that trade, prompting renewed buying interest in memory manufacturers such as Micron and SK Hynix while weighing on Nvidia.
Although Nvidia remains one of the world's leading AI chipmakers, its rapid rise to become one of the world's most valuable public companies has increasingly positioned it alongside Big Tech companies rather than smaller semiconductor names.
Other technology giants also traded lower on Thursday morning, with Amazon falling 4.9% and Meta Platforms declining 4.3%.
Analysts remain bullish while options signal cautionDespite Thursday's decline, longer-term sentiment toward Nvidia remains largely positive.
A Barchart analysis noted that the platform's Technical Opinion indicator rates Nvidia as an "80% Strong Buy," citing a strengthening short-term outlook.
Analysts also maintain an average price target of just over $304, supported by expectations for new semiconductor architectures and continued AI infrastructure spending.
However, the analysis also highlighted caution in the options market ahead of Nvidia's second-quarter earnings, scheduled for Aug. 26.
According to the analysis, options traders are paying elevated implied volatility premiums for out-of-the-money put options expiring shortly after earnings, suggesting increased demand for downside protection.
Separately, a Motley Fool report argued that Nvidia remains attractive despite concerns over the sustainability of AI spending.
The report noted that Nvidia's valuation metrics, including its price-to-earnings ratio and price-to-free-cash-flow ratio, are near five-year lows and below those of several other companies benefiting from AI spending.
It argued that Nvidia's products have applications beyond artificial intelligence, pointing to previous demand from cryptocurrency mining and suggesting future opportunities in areas such as quantum computing.
180 Wealth Advisors LLC boosted its position in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 1.5% during the first quarter, according to its most recent disclosure with the Securities and Exchange Commission. The fund owned 195,530 shares of the computer hardware maker’s stock after acquiring an additional 2,970 shares during the quarter. NVIDIA accounts for 3.9% of 180 Wealth Advisors LLC’s investment portfolio, making the stock its 2nd biggest position. 180 Wealth Advisors LLC’s holdings in NVIDIA were worth $34,100,000 at the end of the most recent reporting period.
A number of other institutional investors have also recently added to or reduced their stakes in NVDA. Brighton Jones LLC grew its holdings in shares of NVIDIA by 12.4% during the 4th quarter. Brighton Jones LLC now owns 324,901 shares of the computer hardware maker’s stock worth $43,631,000 after purchasing an additional 35,815 shares during the period. Bank Pictet & Cie Europe AG raised its holdings in NVIDIA by 1.0% in the fourth quarter. Bank Pictet & Cie Europe AG now owns 2,346,417 shares of the computer hardware maker’s stock valued at $315,100,000 after buying an additional 22,929 shares during the period. Highview Capital Management LLC DE raised its holdings in NVIDIA by 6.7% in the fourth quarter. Highview Capital Management LLC DE now owns 58,396 shares of the computer hardware maker’s stock valued at $7,842,000 after buying an additional 3,653 shares during the period. Hudson Value Partners LLC lifted its position in NVIDIA by 30.7% during the fourth quarter. Hudson Value Partners LLC now owns 50,658 shares of the computer hardware maker’s stock valued at $6,805,000 after buying an additional 11,900 shares in the last quarter. Finally, Wealth Group Ltd. lifted its position in NVIDIA by 15.7% during the first quarter. Wealth Group Ltd. now owns 6,598 shares of the computer hardware maker’s stock valued at $715,000 after buying an additional 896 shares in the last quarter. Hedge funds and other institutional investors own 65.27% of the company’s stock.
NVIDIA News Summary Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA and the Naval Postgraduate School said NVIDIA donated a supercomputer using its latest chips to a nonprofit tied to the institution, highlighting expanding adoption of its AI hardware in U.S. defense and research. Reuters: Nvidia donates supercomputer to U.S. military university Positive Sentiment: Bank of America said NVIDIA’s Vera CPU launch is intensifying the AI server CPU battle and kept a Buy rating with a $350 target, suggesting the company could expand beyond GPUs into a larger share of AI infrastructure spending. Yahoo Finance: BofA sees server CPU TAM hitting $170bn by 2030 as NVIDIA takes on AMD Positive Sentiment: Several articles highlighted NVIDIA as a beneficiary of the broader AI capex cycle, with bullish takes pointing to cheaper AI models, sovereign AI demand, and continued chip spending that could support long-term growth. Zacks: Can NVIDIA’s Sovereign AI Push Unlock New Revenue Streams Now? Positive Sentiment: NVIDIA also gained support from market momentum and technical traders, with reports that the stock cleared an early buy trigger ahead of Alphabet earnings and that the semiconductor rebound is being treated as a positioning reset, not a collapse in demand. Investor’s Business Daily: Nvidia Hits Buy Trigger With Alphabet Earnings Due Insider Buying and Selling In other NVIDIA news, Director John Dabiri sold 625 shares of the firm’s stock in a transaction on Wednesday, May 27th. The shares were sold at an average price of $214.00, for a total transaction of $133,750.00. Following the completion of the transaction, the director directly owned 14,163 shares of the company’s stock, valued at $3,030,882. This trade represents a 4.23% decrease in their position. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which is available at the SEC website. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Stephen C. Neal sold 15,500 shares of the business’s stock in a transaction dated Wednesday, June 3rd. The stock was sold at an average price of $215.73, for a total transaction of $3,343,815.00. Following the completion of the sale, the director directly owned 116,135 shares of the company’s stock, valued at $25,053,803.55. The trade was a 11.77% decrease in their position. The SEC filing for this sale provides additional information. Over the last quarter, insiders sold 1,901,125 shares of company stock worth $410,583,015. Insiders own 3.94% of the company’s stock.
Wall Street Analyst Weigh In NVDA has been the topic of a number of research reports. Sanford C. Bernstein reissued a “buy” rating on shares of NVIDIA in a research note on Monday, June 29th. The Goldman Sachs Group reiterated a “buy” rating and issued a $285.00 price target (up from $250.00) on shares of NVIDIA in a report on Wednesday, May 20th. Daiwa Securities Group boosted their price objective on NVIDIA from $215.00 to $255.00 and gave the stock an “outperform” rating in a research note on Friday, May 22nd. China Renaissance initiated coverage on NVIDIA in a research report on Friday, June 5th. They issued a “buy” rating and a $319.00 target price for the company. Finally, BTIG Research assumed coverage on NVIDIA in a research note on Wednesday, April 15th. They issued a “buy” rating for the company. Three analysts have rated the stock with a Strong Buy rating, forty-eight have given a Buy rating and two have issued a Hold rating to the company. According to data from MarketBeat, the stock presently has a consensus rating of “Buy” and a consensus price target of $304.26.
Get Our Latest Stock Report on NVDA
NVIDIA Trading Up 2.3% NASDAQ:NVDA opened at $212.06 on Thursday. The stock has a market cap of $5.13 trillion, a price-to-earnings ratio of 32.47, a price-to-earnings-growth ratio of 0.40 and a beta of 2.21. NVIDIA Corporation has a one year low of $164.07 and a one year high of $236.54. The company has a debt-to-equity ratio of 0.04, a quick ratio of 2.85 and a current ratio of 3.44. The business’s 50-day simple moving average is $208.76 and its 200 day simple moving average is $195.59.
NVIDIA (NASDAQ:NVDA – Get Free Report) last posted its quarterly earnings data on Wednesday, May 20th. The computer hardware maker reported $1.87 earnings per share (EPS) for the quarter, topping the consensus estimate of $1.76 by $0.11. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.The company had revenue of $81.61 billion for the quarter, compared to the consensus estimate of $78.42 billion. During the same period in the previous year, the business earned $0.81 EPS. NVIDIA’s revenue for the quarter was up 85.2% compared to the same quarter last year. As a group, sell-side analysts predict that NVIDIA Corporation will post 8.79 earnings per share for the current fiscal year.
NVIDIA announced that its Board of Directors has initiated a stock buyback plan on Wednesday, May 20th that permits the company to buyback $80.00 billion in outstanding shares. This buyback authorization permits the computer hardware maker to buy up to 1.5% of its stock through open market purchases. Stock buyback plans are typically a sign that the company’s leadership believes its stock is undervalued.
NVIDIA Increases Dividend The business also recently declared a quarterly dividend, which was paid on Friday, June 26th. Investors of record on Thursday, June 4th were paid a $0.25 dividend. This represents a $1.00 dividend on an annualized basis and a dividend yield of 0.5%. This is a boost from NVIDIA’s previous quarterly dividend of $0.01. The ex-dividend date was Thursday, June 4th. NVIDIA’s payout ratio is presently 15.31%.
NVIDIA Company Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
Recommended Stories Five stocks we like better than NVIDIA Could Truth API Become Trump Media’s First Meaningful Revenue Driver? Small Caps Are Crushing the S&P 500—3 Stocks Still Worth Buying Moog Is More Than a Missile Maker, and Wall Street Is Noticing A Boring Dividend Growth Strategy Becomes a Solid Defensive Play Want to see what other hedge funds are holding NVDA? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for NVIDIA Corporation (NASDAQ:NVDA – Free Report).
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Cullinan Associates ve 1. čtvrtletí snížila podíl v NVIDIA o 28 % na 59 425 akcií po prodeji 23 075 akcií. NVIDIA zároveň zahájila obchodování o 2,3 % výše.
Cullinan Associates Inc. cut its stake in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 28.0% in the first quarter, according to its most recent 13F filing with the Securities & Exchange Commission. The institutional investor owned 59,425 shares of the computer hardware maker’s stock after selling 23,075 shares during the period. Cullinan Associates Inc.’s holdings in NVIDIA were worth $10,364,000 as of its most recent filing with the Securities & Exchange Commission.
Several other large investors also recently bought and sold shares of NVDA. Brighton Jones LLC increased its position in shares of NVIDIA by 12.4% in the 4th quarter. Brighton Jones LLC now owns 324,901 shares of the computer hardware maker’s stock valued at $43,631,000 after acquiring an additional 35,815 shares during the period. Bank Pictet & Cie Europe AG lifted its position in NVIDIA by 1.0% during the 4th quarter. Bank Pictet & Cie Europe AG now owns 2,346,417 shares of the computer hardware maker’s stock worth $315,100,000 after acquiring an additional 22,929 shares during the period. Highview Capital Management LLC DE grew its stake in NVIDIA by 6.7% during the 4th quarter. Highview Capital Management LLC DE now owns 58,396 shares of the computer hardware maker’s stock valued at $7,842,000 after purchasing an additional 3,653 shares during the last quarter. Hudson Value Partners LLC increased its holdings in shares of NVIDIA by 30.7% in the fourth quarter. Hudson Value Partners LLC now owns 50,658 shares of the computer hardware maker’s stock valued at $6,805,000 after purchasing an additional 11,900 shares during the period. Finally, Wealth Group Ltd. increased its holdings in shares of NVIDIA by 15.7% in the first quarter. Wealth Group Ltd. now owns 6,598 shares of the computer hardware maker’s stock valued at $715,000 after purchasing an additional 896 shares during the period. Hedge funds and other institutional investors own 65.27% of the company’s stock.
NVIDIA Trading Up 2.3% Shares of NASDAQ:NVDA opened at $212.06 on Thursday. NVIDIA Corporation has a 12-month low of $164.07 and a 12-month high of $236.54. The company has a market capitalization of $5.13 trillion, a PE ratio of 32.47, a PEG ratio of 0.40 and a beta of 2.21. The business has a 50 day moving average of $208.76 and a two-hundred day moving average of $195.59. The company has a current ratio of 3.44, a quick ratio of 2.85 and a debt-to-equity ratio of 0.04.
NVIDIA (NASDAQ:NVDA – Get Free Report) last issued its quarterly earnings data on Wednesday, May 20th. The computer hardware maker reported $1.87 EPS for the quarter, topping analysts’ consensus estimates of $1.76 by $0.11. The business had revenue of $81.61 billion for the quarter, compared to analysts’ expectations of $78.42 billion. NVIDIA had a net margin of 62.97% and a return on equity of 96.94%. The business’s revenue was up 85.2% on a year-over-year basis. During the same quarter last year, the company earned $0.81 EPS. As a group, analysts forecast that NVIDIA Corporation will post 8.79 EPS for the current year.
NVIDIA declared that its Board of Directors has initiated a share repurchase program on Wednesday, May 20th that allows the company to buyback $80.00 billion in outstanding shares. This buyback authorization allows the computer hardware maker to reacquire up to 1.5% of its stock through open market purchases. Stock buyback programs are typically a sign that the company’s management believes its stock is undervalued.
NVIDIA Increases Dividend The company also recently declared a quarterly dividend, which was paid on Friday, June 26th. Investors of record on Thursday, June 4th were issued a dividend of $0.25 per share. This represents a $1.00 dividend on an annualized basis and a yield of 0.5%. This is a boost from NVIDIA’s previous quarterly dividend of $0.01. The ex-dividend date of this dividend was Thursday, June 4th. NVIDIA’s payout ratio is currently 15.31%.
Insider Activity at NVIDIA In other NVIDIA news, Director John Dabiri sold 625 shares of the company’s stock in a transaction dated Wednesday, May 27th. The shares were sold at an average price of $214.00, for a total value of $133,750.00. Following the completion of the transaction, the director owned 14,163 shares in the company, valued at approximately $3,030,882. This represents a 4.23% decrease in their ownership of the stock. The sale was disclosed in a legal filing with the SEC, which is accessible through this link. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Stephen C. Neal sold 15,500 shares of the stock in a transaction dated Wednesday, June 3rd. The stock was sold at an average price of $215.73, for a total transaction of $3,343,815.00. Following the sale, the director directly owned 116,135 shares in the company, valued at approximately $25,053,803.55. The trade was a 11.77% decrease in their ownership of the stock. The SEC filing for this sale provides additional information. Over the last quarter, insiders have sold 1,901,125 shares of company stock worth $410,583,015. 3.94% of the stock is owned by company insiders.
Key NVIDIA News Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA and the Naval Postgraduate School said NVIDIA donated a supercomputer using its latest chips to a nonprofit tied to the institution, highlighting expanding adoption of its AI hardware in U.S. defense and research. Reuters: Nvidia donates supercomputer to U.S. military university Positive Sentiment: Bank of America said NVIDIA’s Vera CPU launch is intensifying the AI server CPU battle and kept a Buy rating with a $350 target, suggesting the company could expand beyond GPUs into a larger share of AI infrastructure spending. Yahoo Finance: BofA sees server CPU TAM hitting $170bn by 2030 as NVIDIA takes on AMD Positive Sentiment: Several articles highlighted NVIDIA as a beneficiary of the broader AI capex cycle, with bullish takes pointing to cheaper AI models, sovereign AI demand, and continued chip spending that could support long-term growth. Zacks: Can NVIDIA’s Sovereign AI Push Unlock New Revenue Streams Now? Positive Sentiment: NVIDIA also gained support from market momentum and technical traders, with reports that the stock cleared an early buy trigger ahead of Alphabet earnings and that the semiconductor rebound is being treated as a positioning reset, not a collapse in demand. Investor’s Business Daily: Nvidia Hits Buy Trigger With Alphabet Earnings Due Wall Street Analyst Weigh In A number of equities research analysts recently commented on NVDA shares. Itau BBA Securities decreased their target price on NVIDIA from $256.00 to $218.00 in a report on Wednesday, June 24th. Argus raised their price target on shares of NVIDIA from $220.00 to $270.00 and gave the stock a “buy” rating in a research report on Thursday, May 21st. BTIG Research assumed coverage on shares of NVIDIA in a research note on Wednesday, April 15th. They set a “buy” rating for the company. BNP Paribas Exane increased their price objective on shares of NVIDIA from $270.00 to $285.00 and gave the stock an “outperform” rating in a research note on Thursday, May 21st. Finally, Sanford C. Bernstein reissued a “buy” rating on shares of NVIDIA in a report on Monday, June 29th. Three research analysts have rated the stock with a Strong Buy rating, forty-eight have assigned a Buy rating and two have issued a Hold rating to the stock. Based on data from MarketBeat, the stock has a consensus rating of “Buy” and an average target price of $304.26.
Get Our Latest Analysis on NVIDIA
About NVIDIA (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
Recommended Stories Five stocks we like better than NVIDIA Could Truth API Become Trump Media’s First Meaningful Revenue Driver? Small Caps Are Crushing the S&P 500—3 Stocks Still Worth Buying Moog Is More Than a Missile Maker, and Wall Street Is Noticing A Boring Dividend Growth Strategy Becomes a Solid Defensive Play Want to see what other hedge funds are holding NVDA? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for NVIDIA Corporation (NASDAQ:NVDA – Free Report).
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Ferguson Wellman Capital Management v 1. čtvrtletí snížil svou pozici ve společnosti NVIDIA o 0,5 % a po prodeji 9 709 akcií držel 1 875 623 akcií v hodnotě 327,1 milionu USD.
Ferguson Wellman Capital Management Inc. trimmed its holdings in shares of NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 0.5% during the 1st quarter, according to its most recent disclosure with the Securities and Exchange Commission (SEC). The fund owned 1,875,623 shares of the computer hardware maker’s stock after selling 9,709 shares during the quarter. NVIDIA comprises 4.5% of Ferguson Wellman Capital Management Inc.’s portfolio, making the stock its 5th biggest holding. Ferguson Wellman Capital Management Inc.’s holdings in NVIDIA were worth $327,109,000 as of its most recent SEC filing.
Other hedge funds and other institutional investors also recently added to or reduced their stakes in the company. State Street Corp lifted its position in NVIDIA by 1.2% during the 4th quarter. State Street Corp now owns 991,480,489 shares of the computer hardware maker’s stock worth $184,911,111,000 after acquiring an additional 11,451,386 shares during the last quarter. Geode Capital Management LLC grew its position in shares of NVIDIA by 0.6% in the fourth quarter. Geode Capital Management LLC now owns 588,803,093 shares of the computer hardware maker’s stock valued at $109,446,217,000 after purchasing an additional 3,383,441 shares during the last quarter. Norges Bank acquired a new stake in shares of NVIDIA in the fourth quarter valued at about $62,244,133,000. Bank of America Corp DE increased its stake in shares of NVIDIA by 1.5% in the fourth quarter. Bank of America Corp DE now owns 187,181,484 shares of the computer hardware maker’s stock worth $34,909,347,000 after purchasing an additional 2,849,678 shares during the period. Finally, Legal & General Group Plc lifted its position in shares of NVIDIA by 1.5% during the 3rd quarter. Legal & General Group Plc now owns 181,203,035 shares of the computer hardware maker’s stock worth $33,808,862,000 after purchasing an additional 2,609,560 shares during the last quarter. Institutional investors and hedge funds own 65.27% of the company’s stock.
Analyst Upgrades and Downgrades Several analysts recently weighed in on the company. Melius Research set a $400.00 target price on NVIDIA in a research note on Thursday, May 21st. UBS Group lifted their price target on NVIDIA from $275.00 to $280.00 and gave the stock a “buy” rating in a research report on Thursday, May 21st. Rothschild & Co Redburn increased their price objective on NVIDIA from $280.00 to $300.00 and gave the company a “buy” rating in a research report on Tuesday, May 26th. KeyCorp reissued an “overweight” rating and issued a $330.00 price objective (up from $310.00) on shares of NVIDIA in a research report on Tuesday, July 14th. Finally, Morgan Stanley set a $288.00 target price on shares of NVIDIA and gave the stock an “overweight” rating in a research report on Thursday, May 21st. Three research analysts have rated the stock with a Strong Buy rating, forty-eight have assigned a Buy rating and two have issued a Hold rating to the company. Based on data from MarketBeat.com, NVIDIA has an average rating of “Buy” and an average price target of $304.26.
Read Our Latest Report on NVDA
Key Stories Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA and the Naval Postgraduate School said NVIDIA donated a supercomputer using its latest chips to a nonprofit tied to the institution, highlighting expanding adoption of its AI hardware in U.S. defense and research. Reuters: Nvidia donates supercomputer to U.S. military university Positive Sentiment: Bank of America said NVIDIA’s Vera CPU launch is intensifying the AI server CPU battle and kept a Buy rating with a $350 target, suggesting the company could expand beyond GPUs into a larger share of AI infrastructure spending. Yahoo Finance: BofA sees server CPU TAM hitting $170bn by 2030 as NVIDIA takes on AMD Positive Sentiment: Several articles highlighted NVIDIA as a beneficiary of the broader AI capex cycle, with bullish takes pointing to cheaper AI models, sovereign AI demand, and continued chip spending that could support long-term growth. Zacks: Can NVIDIA’s Sovereign AI Push Unlock New Revenue Streams Now? Positive Sentiment: NVIDIA also gained support from market momentum and technical traders, with reports that the stock cleared an early buy trigger ahead of Alphabet earnings and that the semiconductor rebound is being treated as a positioning reset, not a collapse in demand. Investor’s Business Daily: Nvidia Hits Buy Trigger With Alphabet Earnings Due Insider Buying and Selling In other news, Director Stephen C. Neal sold 15,500 shares of the company’s stock in a transaction that occurred on Wednesday, June 3rd. The stock was sold at an average price of $215.73, for a total value of $3,343,815.00. Following the sale, the director directly owned 116,135 shares in the company, valued at approximately $25,053,803.55. This represents a 11.77% decrease in their position. The transaction was disclosed in a document filed with the SEC, which is accessible through this link. Also, Director Mark A. Stevens sold 885,000 shares of the stock in a transaction that occurred on Thursday, June 18th. The stock was sold at an average price of $210.17, for a total value of $186,000,450.00. Following the completion of the transaction, the director directly owned 5,207,271 shares of the company’s stock, valued at approximately $1,094,412,146.07. The trade was a 14.53% decrease in their ownership of the stock. The disclosure for this sale is available in the SEC filing. Insiders sold 1,901,125 shares of company stock valued at $410,583,015 over the last quarter. Corporate insiders own 3.94% of the company’s stock.
NVIDIA Stock Performance NVDA opened at $212.06 on Thursday. The stock’s 50 day simple moving average is $208.76 and its 200-day simple moving average is $195.59. The company has a current ratio of 3.44, a quick ratio of 2.85 and a debt-to-equity ratio of 0.04. The stock has a market cap of $5.13 trillion, a PE ratio of 32.47, a P/E/G ratio of 0.40 and a beta of 2.21. NVIDIA Corporation has a 1 year low of $164.07 and a 1 year high of $236.54.
NVIDIA (NASDAQ:NVDA – Get Free Report) last issued its earnings results on Wednesday, May 20th. The computer hardware maker reported $1.87 EPS for the quarter, topping the consensus estimate of $1.76 by $0.11. The firm had revenue of $81.61 billion during the quarter, compared to analysts’ expectations of $78.42 billion. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.NVIDIA’s quarterly revenue was up 85.2% compared to the same quarter last year. During the same period last year, the business earned $0.81 earnings per share. Sell-side analysts forecast that NVIDIA Corporation will post 8.79 EPS for the current year.
NVIDIA Increases Dividend The firm also recently announced a quarterly dividend, which was paid on Friday, June 26th. Investors of record on Thursday, June 4th were paid a $0.25 dividend. The ex-dividend date of this dividend was Thursday, June 4th. This is an increase from NVIDIA’s previous quarterly dividend of $0.01. This represents a $1.00 dividend on an annualized basis and a yield of 0.5%. NVIDIA’s payout ratio is presently 15.31%.
NVIDIA declared that its board has initiated a stock repurchase program on Wednesday, May 20th that authorizes the company to buyback $80.00 billion in shares. This buyback authorization authorizes the computer hardware maker to repurchase up to 1.5% of its stock through open market purchases. Stock buyback programs are usually a sign that the company’s board of directors believes its stock is undervalued.
About NVIDIA (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
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NVIDIA podle zpráv tiše nakupuje dark fiber napříč USA, aby si předem zajistila síťovou kapacitu pro AI infrastrukturu. Firma tím posiluje své napojení na zákazníky jako CoreWeave.
For a retirement portfolio that needs a single, defensible AI infrastructure play, NVIDIA (Nasdaq: NVDA) remains a frontrunner. The stock trades at $212.06, and reports that the company is silently acquiring long-haul dark fiber across the U.S. only sharpen the bull case.
Dark fiber is unlit optical cable already in the ground but not yet carrying traffic. By locking up fiber counts reaching up to 100 pairs nationwide, NVIDIA may be pre-wiring the corridors its neocloud customers, including CoreWeave and peers, need to narrow the infrastructure gap with hyperscalers such as Microsoft (Nasdaq: MSFT) and Amazon (Nasdaq: AMZN), which secured network capacity years ago.
Point One: The Cheapest Way to Own the Optical Buildout NVIDIA trades at a trailing P/E of 31.7, with ROE of 101.5% and a 60.4% operating margin as of FY2026. Its optical suppliers do not come close. Coherent (NYSE: COHR) carries a trailing P/E of 151.06, with ROE of 4.72% and a 13.6% operating margin. Investors are paying a much richer earnings multiple for a fraction of the return profile. The head-to-head is not close.
Point Two: Real Cash Return, Finally NVIDIA recently boosted its quarterly dividend from $0.01 to $0.25 per share and layered on an additional $80 billion buyback authorization. Q1 FY2027 free cash flow hit $48.55 billion, up 85.4% year over year. Compare that with CoreWeave (Nasdaq: CRWV), which posted negative free cash flow of $4.71 billion and $50.8 billion in total liabilities last quarter. Retirees benefit from cash generation, not capital-hungry infrastructure stories still waiting to prove they can self-fund.
Point Three: The Catalyst Is Already Landing NVIDIA’s Q1 FY2027 revenue reached $81.61 billion, up 85.2% year over year, with Data Center Networking alone hitting $14.8 billion, up 199%. Management guided Q2 revenue to $91.0 billion at a 75.0% gross margin. The company also disclosed $119.0 billion in supply commitments and multi-year optics agreements with Coherent (NYSE: COHR), Lumentum (Nasdaq: LITE), and Corning (NYSE: GLW). The dark fiber buildout is the connective tissue behind that spend.
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The Risk, Dismissed China export restrictions get top billing in nearly every NVIDIA bear case. Yet the company shipped no H20 units to China in Q1 FY2027, guided Q2 assuming no China Data Center compute revenue, and still projected $91.0 billion in quarterly revenue. Huang’s broader message is that China remains a competitive threat, not an existential roadblock. As he told Axios, there is “no scenario where China runs U.S. companies off road.”
That confidence fits the infrastructure numbers. As Huang further stated, “The buildout of AI factories, the largest infrastructure expansion in human history, is accelerating at extraordinary speed.” The fiber going into the ground is part of that answer: more private networking capacity, more control over AI traffic, and less dependence on hyperscalers to dictate the terms of the buildout.
For retirement portfolios seeking a single AI infrastructure holding, NVIDIA offers the clearest exposure to the optical buildout as the AI infrastructure cycle compounds.
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Nvidia darovala Naval Postgraduate School superpočítač s nejnovějšími čipy GB300 Grace Blackwell. Jde o první přímé využití jejích nejpokročilejších serverů v americké armádě.
An NVIDIA logo and a computer motherboard appear in this illustration taken August 25, 2025. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rights, opens new tab
SAN FRANCISCO, July 22 (Reuters) - Nvidia (NVDA.O), opens new tab and the Naval Postgraduate School (NPS) on Wednesday said that the AI chip leader has donated a supercomputer with its latest chips to a nonprofit linked to the institution.
The NPS is operated by the U.S. Navy and offers masters and doctoral degrees in fields such as computer science and aerospace engineering, among others, with an emphasis on their applications in warfare. Nvidia donated a system based on its GB300 "Grace Blackwell" servers, its most advanced AI computers, to the NPS Foundation, a nonprofit connected to the school.
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Nvidia and the NPS did not disclose the size of the system, but confirmed it has been installed at the NPS campus in Monterey, California, where Adm. Samuel J. Paparo, commander of U.S. Pacific Command, and Nvidia CEO Jensen Huang planned to hold an event to announce the system.
While Nvidia's Blackwell chips are planned for use in U.S. government supercomputers built by the U.S. Department of Energy, the donation on Wednesday is the first direct use of Nvidia's most advanced servers by the U.S. military.
“AI will be a backbone of America’s defense,” Huang said in a statement.
Both the U.S. and China are racing to deploy AI for military purposes ranging from developing targeting lists to drone warfare.
“As we modernize our technology, we must also modernize how we educate our leaders,” Adm. Paparo said in a statement. “Access to advanced computing capability means NPS students and faculty understand the opportunities and responsibilities that come with these technologies.”
One of AI's strengths is the ability to work through complex, fast-changing problems much faster than traditional computer simulation techniques.
“Initially, we will need to carefully manage demand as we bring this capability online,” Trenton Hancock, chief information officer at NPS, said in a statement. “But what this system really gives us is the ability to explore more complex, real-world problems, especially those that mirror the challenges our operational fleet faces every day.”
Reporting by Stephen Nellis in San Francisco; Editing by Chizu Nomiyama
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Nvidia představila dosud nejpodrobnější podobu architektury Vera CPU a zdůrazňuje rychlejší dokončení úlohy jednoho AI agenta. Bank of America říká, že spor v oblasti AI infrastruktury se přesouvá k tomu, zda je důležitější výkon na agenta, nebo počet agentů na rack.
Nvidia Corp (NASDAQ:NVDA, XETRA:NVD) is drawing attention to the evolving competition in the AI server CPU market after providing its most detailed look yet at its Vera CPU architecture, with Bank of America highlighting a growing debate over how AI infrastructure performance should be measured.
In a note to clients, the bank wrote that the emerging competition centers on two different approaches to agentic AI. Nvidia is focused on reducing the "time-to-complete-an-agent," while Advanced Micro Devices (NASDAQ: AMD) is emphasizing the "number-of-agents-per-rack." Bank of America estimates the server CPU total addressable market could expand to approximately $170 billion by 2030.
According to the analysts, Nvidia's Vera architecture combines 88 custom ARM-based Olympus cores with 1.2TB/s of memory bandwidth and 3.4TB/s of on-die fabric bandwidth. The company argues that as agentic AI workloads become more common, CPU latency, memory responsiveness and GPU utilization will become increasingly important, making faster per-core performance a key advantage.
Bank of America noted that Nvidia's design also reflects a broader co-design strategy across its AI platform, including Rubin GPUs, networking and storage technologies.
The report comes ahead of AMD's AI Day on Thursday, where Bank of America expects the company to present its own view of AI infrastructure performance. Rather than focusing on faster individual agents, AMD is expected to emphasize rack-level throughput and the ability to support more concurrent AI workflows.
The analysts noted that AMD estimates its current EPYC 9965 (Turin) processor delivers roughly 2.4 times the rack-level throughput of Nvidia's Vera baseline in a modeled 100-kilowatt deployment, while its upcoming EPYC 6 (Venice) platform is projected to deliver up to 3.3 times the throughput.
Beyond performance metrics, Bank of America said the rivalry also reflects a broader architectural debate between ARM and x86 processors. Nvidia's approach suggests processor architecture is less important if higher single-thread performance improves AI agent execution, while AMD and Intel are expected to argue that x86 retains an advantage through its long-established software ecosystem and compatibility with enterprise applications.
Bank of America wrote that the central question for investors is whether future AI deployments will be constrained more by the speed at which an individual AI agent completes a task or by the number of AI agents that can operate simultaneously within a fixed power budget. The firm expects AMD's upcoming event to focus on shaping that discussion rather than benchmark comparisons alone.
Nvidia shares added 3% at $214, to mark an almost 15% gain so far this year.
Akcie Nvidia ve středu vzrostly o více než 3 %, protože investoři čekají na výsledky Alphabetu kvůli signálům o výdajích na AI. Bank of America potvrdila doporučení Buy a cílovou cenu 350 USD.
Nvidia NVDA shares rose over 3% on Wednesday as investors looked ahead to Alphabet's quarterly earnings for fresh insight into artificial intelligence spending, a key driver of demand for the chipmaker's processors.
The gains followed a 2% rally on Tuesday that lifted the broader semiconductor sector.
Advanced Micro Devices and Broadcom also traded about 2% higher on Wednesday.
The broader US market was little changed as rising oil prices tempered investor sentiment.
The S&P 500 edged up 0.1%, the Nasdaq Composite slipped 0.1%, and the Dow Jones Industrial Average gained 152 points, or 0.3%.
Although Nvidia shares have gained nearly 25% over the past year, the stock has underperformed several other semiconductor companies as investors weigh concerns over growing competition and the sustainability of elevated AI chip pricing.
The earnings season is expected to provide a clearer picture of whether major technology companies plan to maintain their current pace of investment in AI infrastructure.
Investor attention has shifted to earnings from major technology companies, beginning with Alphabet's results after Wednesday's market close.
The report is expected to provide additional clarity on artificial intelligence investment plans that could influence demand for Nvidia's chips.
Companies including Microsoft, Meta Platforms, and Amazon are scheduled to report quarterly results this month, with investors closely monitoring capital expenditure guidance as an indicator of future AI infrastructure spending.
Beyond overall spending levels, investors are also expected to scrutinize commentary on the mix of AI hardware purchases.
Large technology companies have increasingly explored custom-designed processors, often developed with partners such as Broadcom, for certain workloads.
While those chips may not match the performance of Nvidia's graphics processing units, they could reduce dependence on third-party suppliers for specific applications.
Bank of America Research maintained a Buy rating and a $350 price target on Nvidia, arguing that the company's recently introduced Vera central processing unit expands its position in artificial intelligence infrastructure.
The bank estimates the server CPU total addressable market could reach $170 billion by 2030, roughly four times current levels.
According to analyst Vivek Arya, the launch of Vera marks the beginning of a direct competition with AMD over how agentic AI workloads should be measured and monetized.
"The key question for investors is whether agentic AI is primarily constrained by time-to-complete an agent or number-of-agents-per-rack," Arya wrote.
Nvidia's Vera architecture is designed around the former approach.
The processor combines 88 custom Olympus Arm-based cores with 1.2 terabytes per second of memory bandwidth and 3.4 terabytes per second of on-die fabric bandwidth.
Vera is intended to operate as part of an integrated AI platform that includes Nvidia's Rubin graphics processing unit, NVLink interconnect, Spectrum networking switches, and BlueField networking and storage interface cards.
Bank of America said its bullish view is based on Nvidia's ability to offer a co-designed AI system rather than a standalone processor.
Candriam S.C.A. grew its position in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 3.9% in the 1st quarter, according to the company in its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The firm owned 7,023,574 shares of the computer hardware maker’s stock after buying an additional 261,537 shares during the quarter. NVIDIA makes up approximately 6.4% of Candriam S.C.A.’s portfolio, making the stock its largest position. Candriam S.C.A.’s holdings in NVIDIA were worth $1,224,911,000 at the end of the most recent reporting period.
Other large investors have also made changes to their positions in the company. Lifetime Wealth Management P.C. purchased a new stake in shares of NVIDIA in the fourth quarter valued at $26,000. Longview Financial Advisors Inc. purchased a new position in shares of NVIDIA during the first quarter valued at $27,000. Longfellow Investment Management Co. LLC raised its position in NVIDIA by 47.9% during the second quarter. Longfellow Investment Management Co. LLC now owns 207 shares of the computer hardware maker’s stock valued at $33,000 after buying an additional 67 shares during the period. Spurstone Advisory Services LLC acquired a new position in NVIDIA during the second quarter valued at $40,000. Finally, Inspire Investing LLC purchased a new stake in NVIDIA in the 4th quarter worth about $44,000. Institutional investors and hedge funds own 65.27% of the company’s stock.
Wall Street Analysts Forecast Growth A number of brokerages have commented on NVDA. President Capital raised their price objective on NVIDIA from $280.00 to $295.00 and gave the stock a “buy” rating in a research report on Thursday, May 21st. DZ Bank restated a “buy” rating on shares of NVIDIA in a report on Thursday, May 21st. Truist Financial boosted their price objective on shares of NVIDIA from $287.00 to $307.00 and gave the company a “buy” rating in a research report on Thursday, May 21st. William Blair reiterated an “outperform” rating on shares of NVIDIA in a research report on Tuesday, June 2nd. Finally, BNP Paribas Exane boosted their price target on shares of NVIDIA from $270.00 to $285.00 and gave the company an “outperform” rating in a report on Thursday, May 21st. Two research analysts have rated the stock with a Strong Buy rating, forty-eight have assigned a Buy rating and three have given a Hold rating to the stock. Based on data from MarketBeat, the company presently has a consensus rating of “Moderate Buy” and an average price target of $304.26.
Check Out Our Latest Stock Analysis on NVIDIA
NVIDIA Trading Up 2.0% NASDAQ:NVDA opened at $207.29 on Wednesday. The company has a market capitalization of $5.02 trillion, a P/E ratio of 31.74, a P/E/G ratio of 0.45 and a beta of 2.21. The stock’s 50 day moving average price is $209.04 and its 200 day moving average price is $195.41. The company has a debt-to-equity ratio of 0.04, a quick ratio of 2.85 and a current ratio of 3.44. NVIDIA Corporation has a 52 week low of $164.07 and a 52 week high of $236.54.
NVIDIA (NASDAQ:NVDA – Get Free Report) last posted its earnings results on Wednesday, May 20th. The computer hardware maker reported $1.87 earnings per share (EPS) for the quarter, beating analysts’ consensus estimates of $1.76 by $0.11. The firm had revenue of $81.61 billion during the quarter, compared to analysts’ expectations of $78.42 billion. NVIDIA had a net margin of 62.97% and a return on equity of 96.94%. The company’s revenue was up 85.2% compared to the same quarter last year. During the same period in the previous year, the company earned $0.81 earnings per share. On average, research analysts forecast that NVIDIA Corporation will post 8.79 EPS for the current fiscal year.
NVIDIA Increases Dividend The firm also recently disclosed a quarterly dividend, which was paid on Friday, June 26th. Investors of record on Thursday, June 4th were issued a $0.25 dividend. This is a boost from NVIDIA’s previous quarterly dividend of $0.01. This represents a $1.00 dividend on an annualized basis and a yield of 0.5%. The ex-dividend date was Thursday, June 4th. NVIDIA’s dividend payout ratio is currently 15.31%.
NVIDIA announced that its board has authorized a stock buyback program on Wednesday, May 20th that authorizes the company to repurchase $80.00 billion in shares. This repurchase authorization authorizes the computer hardware maker to purchase up to 1.5% of its stock through open market purchases. Stock repurchase programs are often an indication that the company’s board believes its shares are undervalued.
More NVIDIA News Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA disclosed that its next-generation Rubin AI chips are shipping to customers and that production is underway, reinforcing confidence that the company’s roadmap remains on schedule and competitive versus rivals like AMD and Broadcom. Nvidia Says Rubin AI Chips Are Shipping Positive Sentiment: The company also unveiled an expansion of its Agent Toolkit with Omniverse libraries, aimed at helping developers build simulation-ready “physical AI” applications for robotics, factories, and autonomous systems. That strengthens NVIDIA’s software ecosystem and could support longer-term demand for its hardware and platforms. NVIDIA Agent Toolkit Expands With New Omniverse Libraries Positive Sentiment: Investor sentiment was also helped by NVIDIA’s 9.3% stake in Nebius, which signals deeper involvement in AI cloud infrastructure and sparked a broad AI-infrastructure rally that reflects continued confidence in NVIDIA’s influence across the sector. Nebius stock surges as Nvidia discloses 9.3% stake in neocloud Neutral Sentiment: Wall Street commentary remains broadly constructive, with several pieces highlighting NVIDIA as a key AI growth name and a possible leader during earnings season, but these are mostly sentiment drivers rather than new fundamentals. Why Nvidia Stock Can ‘Lead the Charge’ This Earnings Season Neutral Sentiment: Some articles noted that other AI memory and infrastructure names have been outperforming NVIDIA lately, which is a reminder that the AI trade is broadening beyond NVDA even as it remains a core beneficiary. NVIDIA Isn’t Leading AI Stocks in 2026 – These 2 Are Up Over 180% Insider Buying and Selling In other NVIDIA news, Director Mark A. Stevens sold 885,000 shares of the stock in a transaction on Thursday, June 18th. The shares were sold at an average price of $210.17, for a total transaction of $186,000,450.00. Following the transaction, the director directly owned 5,207,271 shares of the company’s stock, valued at $1,094,412,146.07. This represents a 14.53% decrease in their ownership of the stock. The transaction was disclosed in a filing with the SEC, which is available through the SEC website. Also, Director John Dabiri sold 625 shares of the firm’s stock in a transaction dated Wednesday, May 27th. The shares were sold at an average price of $214.00, for a total value of $133,750.00. Following the transaction, the director owned 14,163 shares in the company, valued at approximately $3,030,882. This trade represents a 4.23% decrease in their ownership of the stock. Additional details regarding this sale are available in the official SEC disclosure. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Over the last three months, insiders sold 1,901,125 shares of company stock worth $410,583,015. Corporate insiders own 3.94% of the company’s stock.
NVIDIA Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
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Brown University purchased a new position in NVIDIA Corporation (NASDAQ:NVDA – Free Report) in the first quarter, according to the company in its most recent 13F filing with the Securities and Exchange Commission (SEC). The institutional investor purchased 53,000 shares of the computer hardware maker’s stock, valued at approximately $9,243,000. NVIDIA makes up 9.1% of Brown University’s holdings, making the stock its 5th biggest position.
Several other institutional investors have also recently made changes to their positions in the stock. Brighton Jones LLC raised its stake in NVIDIA by 12.4% during the 4th quarter. Brighton Jones LLC now owns 324,901 shares of the computer hardware maker’s stock worth $43,631,000 after acquiring an additional 35,815 shares during the period. Bank Pictet & Cie Europe AG boosted its position in shares of NVIDIA by 1.0% in the fourth quarter. Bank Pictet & Cie Europe AG now owns 2,346,417 shares of the computer hardware maker’s stock worth $315,100,000 after purchasing an additional 22,929 shares during the period. Highview Capital Management LLC DE boosted its position in shares of NVIDIA by 6.7% in the fourth quarter. Highview Capital Management LLC DE now owns 58,396 shares of the computer hardware maker’s stock worth $7,842,000 after purchasing an additional 3,653 shares during the period. Hudson Value Partners LLC increased its stake in shares of NVIDIA by 30.7% in the fourth quarter. Hudson Value Partners LLC now owns 50,658 shares of the computer hardware maker’s stock worth $6,805,000 after purchasing an additional 11,900 shares in the last quarter. Finally, Wealth Group Ltd. increased its stake in shares of NVIDIA by 15.7% in the first quarter. Wealth Group Ltd. now owns 6,598 shares of the computer hardware maker’s stock worth $715,000 after purchasing an additional 896 shares in the last quarter. Institutional investors own 65.27% of the company’s stock.
NVIDIA Stock Up 2.0% NVDA opened at $207.29 on Wednesday. The company has a market capitalization of $5.02 trillion, a PE ratio of 31.74, a price-to-earnings-growth ratio of 0.45 and a beta of 2.21. The firm has a 50-day simple moving average of $209.04 and a two-hundred day simple moving average of $195.41. The company has a quick ratio of 2.85, a current ratio of 3.44 and a debt-to-equity ratio of 0.04. NVIDIA Corporation has a 52 week low of $164.07 and a 52 week high of $236.54.
NVIDIA (NASDAQ:NVDA – Get Free Report) last issued its earnings results on Wednesday, May 20th. The computer hardware maker reported $1.87 earnings per share (EPS) for the quarter, topping the consensus estimate of $1.76 by $0.11. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.The firm had revenue of $81.61 billion for the quarter, compared to analysts’ expectations of $78.42 billion. During the same period in the previous year, the firm posted $0.81 earnings per share. The business’s revenue was up 85.2% compared to the same quarter last year. Analysts forecast that NVIDIA Corporation will post 8.79 earnings per share for the current fiscal year.
NVIDIA declared that its Board of Directors has approved a share buyback plan on Wednesday, May 20th that allows the company to repurchase $80.00 billion in shares. This repurchase authorization allows the computer hardware maker to buy up to 1.5% of its shares through open market purchases. Shares repurchase plans are generally an indication that the company’s management believes its shares are undervalued.
NVIDIA Increases Dividend The company also recently disclosed a quarterly dividend, which was paid on Friday, June 26th. Stockholders of record on Thursday, June 4th were issued a dividend of $0.25 per share. This is a positive change from NVIDIA’s previous quarterly dividend of $0.01. The ex-dividend date of this dividend was Thursday, June 4th. This represents a $1.00 annualized dividend and a dividend yield of 0.5%. NVIDIA’s payout ratio is currently 15.31%.
Insider Transactions at NVIDIA In related news, Director John Dabiri sold 625 shares of the business’s stock in a transaction on Wednesday, May 27th. The shares were sold at an average price of $214.00, for a total value of $133,750.00. Following the sale, the director owned 14,163 shares in the company, valued at approximately $3,030,882. The trade was a 4.23% decrease in their ownership of the stock. The sale was disclosed in a document filed with the SEC, which is accessible through this hyperlink. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Mark A. Stevens sold 885,000 shares of the company’s stock in a transaction on Thursday, June 18th. The shares were sold at an average price of $210.17, for a total transaction of $186,000,450.00. Following the sale, the director directly owned 5,207,271 shares in the company, valued at approximately $1,094,412,146.07. The trade was a 14.53% decrease in their position. The SEC filing for this sale provides additional information. Insiders have sold 1,901,125 shares of company stock valued at $410,583,015 in the last ninety days. Corporate insiders own 3.94% of the company’s stock.
NVIDIA News Summary Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA disclosed that its next-generation Rubin AI chips are shipping to customers and that production is underway, reinforcing confidence that the company’s roadmap remains on schedule and competitive versus rivals like AMD and Broadcom. Nvidia Says Rubin AI Chips Are Shipping Positive Sentiment: The company also unveiled an expansion of its Agent Toolkit with Omniverse libraries, aimed at helping developers build simulation-ready “physical AI” applications for robotics, factories, and autonomous systems. That strengthens NVIDIA’s software ecosystem and could support longer-term demand for its hardware and platforms. NVIDIA Agent Toolkit Expands With New Omniverse Libraries Positive Sentiment: Investor sentiment was also helped by NVIDIA’s 9.3% stake in Nebius, which signals deeper involvement in AI cloud infrastructure and sparked a broad AI-infrastructure rally that reflects continued confidence in NVIDIA’s influence across the sector. Nebius stock surges as Nvidia discloses 9.3% stake in neocloud Neutral Sentiment: Wall Street commentary remains broadly constructive, with several pieces highlighting NVIDIA as a key AI growth name and a possible leader during earnings season, but these are mostly sentiment drivers rather than new fundamentals. Why Nvidia Stock Can ‘Lead the Charge’ This Earnings Season Neutral Sentiment: Some articles noted that other AI memory and infrastructure names have been outperforming NVIDIA lately, which is a reminder that the AI trade is broadening beyond NVDA even as it remains a core beneficiary. NVIDIA Isn’t Leading AI Stocks in 2026 – These 2 Are Up Over 180% Analyst Ratings Changes A number of research analysts recently weighed in on NVDA shares. Mizuho set a $300.00 target price on shares of NVIDIA in a research note on Thursday, May 21st. Evercore reissued an “outperform” rating and set a $413.00 price target (up from $352.00) on shares of NVIDIA in a report on Thursday, May 21st. HSBC restated a “buy” rating and issued a $325.00 price objective (up from $295.00) on shares of NVIDIA in a research report on Tuesday, May 19th. Itau BBA Securities cut their target price on NVIDIA from $256.00 to $218.00 in a research report on Wednesday, June 24th. Finally, Susquehanna reissued a “positive” rating and set a $275.00 target price (up from $250.00) on shares of NVIDIA in a research note on Tuesday, May 12th. Two analysts have rated the stock with a Strong Buy rating, forty-eight have issued a Buy rating and three have issued a Hold rating to the stock. According to data from MarketBeat, NVIDIA currently has an average rating of “Moderate Buy” and a consensus target price of $304.26.
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NVIDIA Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
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Key Takeaways NVIDIA's AI leadership, Blackwell adoption and data center growth support its stronger outlook.AMD is gaining AI traction through Instinct GPUs, EPYC processors and major cloud partnerships.NVIDIA's 19.31X forward P/E trails AMD's 53.04X despite stronger growth and profitability. Artificial intelligence (AI) continues to reshape the semiconductor industry, and NVIDIA Corporation (NVDA - Free Report) and Advanced Micro Devices, Inc. (AMD - Free Report) remain at the center of this transformation. Both companies are expanding rapidly as cloud providers, enterprises and AI developers spend heavily on AI infrastructure. While NVDA still dominates the AI accelerator market, AMD is making meaningful progress with its Instinct GPUs (graphics processing units) and EPYC server processors.
The question for investors is whether Advanced Micro Devices' faster stock rally makes it the better opportunity, or if NVIDIA's unmatched leadership still makes it the stronger long-term investment.
NVIDIA: The Undisputed AI Computing Chip LeaderNVIDIA continues to dominate the AI computing space. The company’s last reported results for first-quarter fiscal 2027 were another exceptional financial performance. First-quarter revenues soared 85% year over year to $81.6 billion as data center sales jumped 92% to a record $75.2 billion. Non-GAAP earnings surged 140% to $1.87 per share.
The rapid adoption of its Blackwell platform, strong networking demand and growing deployment across hyperscalers, enterprises and sovereign AI projects continue to strengthen its competitive position. During the last earnings call, management highlighted expanding opportunities in AI infrastructure, forecasting industry spending could eventually reach trillions of dollars annually.
Beyond GPUs, NVIDIA is widening its moat through networking, software and AI systems. CUDA remains the industry's preferred AI software ecosystem, making it difficult for customers to switch platforms. The company is also entering the data center CPU (central processing unit) market with Vera, creating another long-term growth engine.
Its enormous free cash flow supports higher shareholder returns through dividends and share repurchases while funding aggressive research and development. During the first quarter of fiscal 2027, NVIDIA generated $50.3 billion in operating cash flow and $48.6 billion in free cash flow. The company returned $243 million to its shareholders through dividend payouts and repurchased stocks worth $19.3 billion in the first quarter.
However, NVIDIA is not without risks. The company faces export restrictions to China, an increasingly competitive AI market and the challenge of sustaining extraordinary growth after several years of explosive expansion.
AMD: A Strong Challenger With Growing AI MomentumAdvanced Micro Devices is steadily strengthening its position in AI infrastructure. The company’s first-quarter 2026 revenues climbed 38% year over year to $10.3 billion, driven by record data center revenues of $5.8 billion, which increased 57%. Non-GAAP earnings jumped 43% year over year to $1.37 per share.
Advanced Micro Devices is witnessing strong demand for its EPYC server processors. The company’s Instinct AI accelerators continue to gain traction as customers move from pilot projects to production deployments. During the first-quarter earnings call, management expressed confidence that AI accelerator revenues could reach tens of billions of dollars annually in 2027, supported by growing partnerships with Meta, OpenAI and major cloud providers.
Advanced Micro Devices' biggest strength is its broad portfolio. Along with AI GPUs, it continues to gain server CPU market share, expand its AI PC offerings and improve its ROCm software platform. These efforts are making AMD a more credible alternative to NVIDIA.
Strong revenue growth and improving profitability are helping Advanced Micro Devices generate huge cash flows. In the first quarter of 2026, AMD reported $3 billion of cash from continuing operations and free cash flow of $2.6 billion.
Nonetheless, challenges remain for the company. NVIDIA continues to dominate the AI accelerator market with a much stronger software ecosystem and a larger installed customer base. Advanced Micro Devices also expects higher memory and component costs to weigh on PC and gaming demand during the second half of 2026. AMD’s share buybacks are not massive as it continues to invest heavily to narrow the technology gap with NVDA. In the first quarter of 2026, it repurchased shares worth $221 million.
NVIDIA vs. AMD: Which Has a Better Growth Outlook?Both companies are benefiting from growing spending on AI infrastructure buildouts by hyperscalers and enterprises, but analysts appear more optimistic about NVIDIA's growth outlook.
The Zacks Consensus Estimate for NVIDIA’s fiscal 2027 revenues and earnings indicates year-over-year growth of 80% and 90.6%, respectively. The consensus mark for fiscal 2027 earnings has also been revised upward by 4.36% over the past 60 days. The meaningful upward earnings estimate revision reflects growing confidence that sustained AI investments will continue to support NVDA’s earnings growth.
On the other hand, the Zacks Consensus Estimate for Advanced Micro Devices’ 2026 revenues and earnings indicates year-over-year growth of 42.3% and 74.6%, respectively. AMD is also seeing positive estimate revisions, although the magnitude is relatively smaller. During the past 60 days, the consensus estimate for 2026 earnings has increased by 0.97%. While this remains encouraging, it suggests that analysts currently see stronger earnings momentum at NVIDIA.
Valuation: NVIDIA Offers Better Value Than AMDAt first glance, Advanced Micro Devices' 154.3% year-to-date rally far exceeds NVIDIA's 10.9% gain, reflecting growing investor confidence in its AI ambitions. However, the sharp rise has also pushed AMD's valuation significantly higher.
NVIDIA currently trades at a forward 12-month price-to-earnings (P/E) multiple of 19.31, well below Advanced Micro Devices' 53.04. That is notable because NVIDIA is delivering much faster revenue growth, stronger profitability, significantly higher free cash flow and remains the clear leader in AI accelerators. AMD remains an attractive long-term AI company, but much of its near-term optimism already appears reflected in its valuation.
NVIDIA vs. AMD: Which AI Stock Wins?Both NVIDIA and Advanced Micro Devices are well-positioned to benefit from the long-term AI investment cycle. AMD is executing well, gaining market share and building stronger customer relationships that should support years of growth.
However, NVIDIA continues to outperform on nearly every major metric, including revenue growth, profitability, software leadership, ecosystem strength, cash generation and shareholder returns. Combined with its lower valuation multiple, NVIDIA offers a more compelling balance of growth and value. For investors looking to capitalize on the AI boom today, NVIDIA remains the better investment bet.
Currently, NVIDIA sports a Zacks Rank #1 (Strong Buy), giving it a clear edge over Advanced Micro Devices, which carries a Zacks Rank #2 (Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.
NVIDIA ve 1. čtvrtletí fiskálního roku 2027 vykázala rekordní tržby 81,6 miliardy USD, meziročně o 85 % více. Tahounem byla poptávka po sovereign AI, kde tržby dosáhly 37,4 miliardy USD.
Key Takeaways NVIDIA posted record first-quarter fiscal 2027 revenues of $81.6 billion, up 85% year over year.Sovereign AI demand helped NVIDIA's ACIE revenues reach $37.4 billion, rising 74% year over year.Long-term projects may drive recurring demand for NVIDIA hardware, networking and software upgrades. NVIDIA Corporation (NVDA - Free Report) is expanding beyond traditional cloud customers by targeting sovereign artificial intelligence (AI) projects, a fast-growing market where governments build domestic AI infrastructure to strengthen national security, scientific research and digital economies. This strategy could open a significant new revenue stream as countries increasingly seek to develop AI capabilities using locally owned computing resources.
The opportunity is already contributing to NVIDIA’s strong growth. In the first quarter of fiscal 2027, the company generated record revenues of $81.6 billion, up 85% year over year, while Data Center revenues rose 92% to a record $75.2 billion. Management also highlighted that sovereign AI demand has become an important contributor to its AI Clouds, Industrial and Enterprise business, which generated $37.4 billion in revenues during the quarter, up 74% year over year.
NVIDIA’s advantage lies in offering a complete AI platform rather than standalone chips. Governments can deploy its Blackwell GPUs alongside Spectrum-X networking, NVLink technology and AI software to build large-scale AI factories. The company is also expanding partnerships with cloud providers and regional technology firms to accelerate sovereign AI deployments across multiple countries.
Sovereign AI projects typically involve long-term infrastructure investments, creating recurring demand for hardware upgrades, networking products and software platforms. This provides NVIDIA with revenue opportunities beyond initial system deployments.
While geopolitical tensions and export restrictions remain risks, the global race to build national AI capabilities is accelerating. As more governments invest in domestic AI infrastructure, NVIDIA’s leadership in AI computing and its integrated technology stack position the company to capture a growing share of this emerging multibillion-dollar market. The Zacks Consensus Estimate for fiscal 2027 revenues is currently pegged at $387.84 billion, indicating a year-over-year increase of 79.6%.
NVIDIA’s Rivals Also Target the Sovereign AI OpportunityWhile NVIDIA leads the sovereign AI market, Advanced Micro Devices, Inc. (AMD - Free Report) and Intel Corporation (INTC - Free Report) are positioning themselves to benefit from government-backed AI infrastructure investments.
Advanced Micro Devices is expanding its presence through its EPYC server processors and Instinct AI accelerators, which are increasingly being adopted by cloud providers, research institutions and public-sector organizations. In the first quarter of 2026, AMD's Data Center revenues rose 57% year over year to $5.8 billion, reflecting strong demand for AI and high-performance computing solutions.
Advanced Micro Devices is also strengthening its ROCm software platform and collaborating with national laboratories and enterprise customers, making its AI portfolio more attractive for sovereign AI deployments that require open and scalable computing platforms.
Intel remains an important player because of its broad enterprise footprint and manufacturing capabilities. The company generated more than $5 billion in data center and AI revenues during the first quarter of 2026 and continues to invest in Xeon processors, Gaudi AI accelerators and advanced foundry services. Intel's ability to manufacture chips in the United States and Europe aligns well with many governments' goal of building secure domestic technology supply chains.
While NVIDIA currently enjoys a clear lead in AI computing, Advanced Micro Devices and Intel have the technology, customer relationships and global presence to compete for a share of the growing sovereign AI infrastructure market as government investments continue to accelerate.
NVIDIA’s Price Performance, Valuation and EstimatesShares of NVIDIA have risen around 10.8% year to date, underperforming the Zacks Computer and Technology sector’s gain of 12.1%.
NVIDIA YTD Price Return Performance
Image Source: Zacks Investment Research
From a valuation standpoint, NVDA trades at a forward price-to-earnings ratio of 19.31, below the sector’s average of 23.55.
NVIDIA Forward 12-Month P/E Ratio
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for NVIDIA’s fiscal 2027 and 2028 earnings implies a year-over-year increase of approximately 91% and 38%, respectively. Estimates for fiscal 2027 have been revised upward over the past 30 days, while estimates for fiscal 2028 have been raised over the past seven days.
Image Source: Zacks Investment Research
NVIDIA currently sports a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.
NVIDIA těží z bezplatného softwaru CUDA a dalších nástrojů, které vývojáře uzamykají do jejího ekosystému a táhnou poptávku po čipech. Výnosy za 1. čtvrtletí vzrostly na 81,615 miliardy USD a firma ve 2. čtvrtletí čeká 91,0 miliardy USD.
I keep buying NVIDIA, and the reason has almost nothing to do with the chips. It’s the software giveaway underneath them. Most investors file NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) under “hardware,” and that framing is exactly why I’m still adding at $207.29. What I actually own is a freemium platform that happens to sell the world’s most expensive accelerators on the back end.
The Free Tier Is the Trap CUDA is free. Triton is free. NIMs, Dynamo 1.0, Nemotron, BioNeMo, Isaac, Omniverse. All free. Every graduate student, startup, and hyperscaler research team writes code against these libraries. Then the code only runs at full speed on NVIDIA silicon. “NVIDIA has the largest suite of acceleration libraries in the world,” Jensen Huang told analysts on the May call, and that’s the moat in plain language.
The paywall shows up at scale. When a customer moves from prototype to production, they build an AI factory rather than purchasing a single GPU. CFO Colette Kress framed it plainly: “Customers do not buy GPUs; they build AI factories. The right economic metric is not the purchase price of the GPU; it is the lifetime cost of an AI factory producing intelligence.” Switching costs at that level are brutal. You’d rewrite years of CUDA-optimized code, retrain teams, and lose performance. Almost nobody does it.
The Receipts Three numbers keep the buy button warm. First, growth that shouldn’t be possible at this size. Q1 FY2027 revenue hit $81.615 billion, up 85.23% year over year, with Data Center alone at $75.246 billion (+92%). Networking inside that number grew 199% YoY. Management guided Q2 to $91.0 billion.
Second, the margin structure the software stack enables. Gross margin 71.07%, operating margin 60.38%, ROE 101.5%, ROIC 92.2%. Free cash flow of $48.554 billion in a single quarter. Those are software-company economics attached to a hardware volume business.
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Third, capital returns finally showing up. The board authorized an additional $80 billion buyback on top of $38.5 billion remaining, and lifted the quarterly dividend from $0.01 to $0.25. At a forward P/E of 23, I’m paying a market multiple for a compounder returning tens of billions to owners.
Why Not the Obvious Alternatives NVIDIA’s Data Center segment posted $75.25 billion in a single quarter, which is larger than AMD’s entire company revenue base, and AMD does not run CUDA. Broadcom is the other name people cite for AI silicon, but its custom ASIC business lacks the CUDA software ecosystem lock-in that keeps developers on NVIDIA year after year. I’m paying for a developer base that would need to be pried loose one library at a time.
The Risk I Actually Watch China. H20 shipments went to zero this quarter, and Q2 guidance excludes China Data Center compute revenue entirely. That’s real. What keeps the thesis intact is that demand outside China is absorbing every wafer TSMC can produce. The $91 billion Q2 guide assumes zero China contribution. Blackwell and Rubin combined carry $1 trillion in revenue visibility through calendar 2027. I don’t need China to make the math work.
What Keeps the Buy Button Active Reddit is skeptical, insiders are trimming, and the crowd on Polymarket sees limited near-term upside above $210. I’m buying for the long arc, because every free download of CUDA is a future paying customer, and there are roughly 250,000 enterprises that haven’t shown up yet. The freemium hook is set. I keep loading.
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Čipy Nvidia a další čipy pro AI minulý týden oslabily po uvedení modelu Kimi 3 od Moonshot. Text ale tvrdí, že jeho provoz stále vyžaduje špičkový hardware a síťování od Nvidia. Kimi 3 je 2,8bilionový model a vyžaduje 1,5 TB paměti s vysokou propustností.
Shares of Nvidia (NVDA +2.10%) and most of the AI-related semiconductor sector sold off last week after Moonshot, a China-based AI start-up, released its Kimi 3 model.
Kimi made waves across the industry, as the open-weights model displayed impressive performance against even the latest frontier models by Anthropic and OpenAI.
But the knee-jerk reactions to Kimi 3 seem like an echo of the DeepSeek and TurboQuant sell-offs of early 2025 and 2026, respectively. In both cases, innovations that made AI much more efficient didn't derail the AI build-out; in fact, one could argue they accelerated it by lowering adoption costs.
While these past cases aren't perfect mirrors of Kimi 3, here's why Nvidia investors shouldn't panic over this new model.
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Why Kimi sent a shudder through U.S. AI stocks Although Moonshot and other Chinese AI labs may have smuggled in some Nvidia chips illegally, Moonshot likely doesn't have access to nearly as many Nvidia chips for model training as the leading U.S. labs. There is also some uncertainty about whether Moonshot merely "distilled" a leading LLM from either Anthropic or OpenAI, essentially copying the weights from the U.S. labs.
Either way, Kimi 3 appears to have been trained at a small fraction of the cost of leading U.S. models, leading to panic over whether the U.S. giants should and will keep spending on high-end, very expensive Nvidia GPUs.
Another reason why Kimi may have spurred a sell-off in Nvidia and AI memory stocks is that it displayed a novel innovation called Kimi Delta Attention (KDA). This architecture enables the model to selectively read prior tokens to process new ones, rather than reading all prior tokens. The result is a 75% decline in KV cache, essentially an AI's short-term memory required to run the model, and a sixfold increase in speed. That means the model requires less memory and processing power, all things being equal.
Kimi doesn't lower inference requirements as much as feared Regardless of how Kimi was trained, if consumers and enterprises want to use it, the model has to run. And while KDA certainly makes more efficient use of KV cache, other architectural features make it somewhat compute-intensive, requiring high-end hardware such as the latest Nvidia racks.
First, Kimi 3 is a massive 2.8 trillion-parameter model that requires 1.5 terabytes of high-bandwidth memory. Second, Kimi 3 uses 896 experts in a "mixture of experts" architecture. A mixture of experts means a query can go to a specific, specialized "subnetwork" of the entire model, so each query doesn't have to run the entire model.
While that theoretically frees up space and lowers speed and cost, Kimi 3's experts aren't loaded entirely onto a GPU but rather are split across 16 experts per GPU, requiring at least 56 chips to hold and inference the model. Spreading the experts over more chips is a technique called WideEP.
According to chip research firm SemiAnalysis, this means that to run the model efficiently, one will need high-end chip systems with the required number of chips and associated networking, such as the Nvidia GB300 NVL72 reference architecture. Moreover, SemiAnalysis says that the lower KV cache per chip requires a subsequent massive scale-up in bandwidth to coordinate the dozens of chips required. That means a greater focus on rack-level networking and, therefore, Nvidia's NVLink technology.
Image source: Nvidia.
Don't forget U.S. regulations or the Jevons paradox Finally, even if Kimi does deliver certain efficiencies, many workloads likely won't be able to run Chinese models, especially if they have been distilled -- a fancy word for "pirated" -- from leading U.S. labs. Regulations will likely still spur many U.S. enterprises to adopt U.S.-based models, or at least take security precautions that will also increase costs.
Meanwhile, even if Kimi 3 still provides much more efficient frontier-level AI usage, the Jevons paradox, an economic concept that states as technology makes resource use more efficient, overall resource consumption increases rather than decreases, indicates this will only unlock greater adoption and usage, offsetting any efficiencies regarding Nvidia chips or memory.
Just as the DeepSeek and TurboQuant scares of 2025 and early 2026 proved to be buying opportunities in AI names, it appears as though the Kimi 3-inspired sell-off looks to be another such opportunity for long-term investors.
Investice 1 000 USD do akcií Nvidia při spuštění DeepSeek-R1 by dnes měla hodnotu asi 1 480 USD, tedy zhruba o 48 % více. Akcie se po lednovém propadu téměř o 17 % zotavily.
A $1,000 investment in Nvidia (NASDAQ: NVDA) around the launch of DeepSeek-R1 in January 2025 would be worth approximately $1,480 today, representing a gain of about 48%.
DeepSeek-R1, unveiled on January 20, 2025, drew global attention by demonstrating advanced reasoning capabilities at a fraction of the computing cost of many leading AI models.
The development sparked concerns that more efficient AI systems could reduce demand for expensive AI hardware.
Those fears culminated on January 27, 2025, when Nvidia shares plunged nearly 17% in a single session, erasing roughly $600 billion in market value in the largest one-day market-cap loss ever recorded by a public company.
The downturn proved temporary as Nvidia recovered and continued climbing. An investor who bought about 7.14 shares at roughly $140 each shortly after the DeepSeek-R1 launch would now hold a position worth around $1,480, based on Nvidia’s current share price near $207.
NVDA one-year stock price chart. Source: Finbold Nvidia’s rebound after DeepSeek AI scare While DeepSeek-R1 raised concerns about AI infrastructure spending, the broader AI market continued expanding throughout 2025 and into 2026.
Nvidia benefited from sustained investment by hyperscalers, enterprises, and AI developers building large-scale training and inference systems.
The company also continued advancing its data center and AI chip offerings, helping maintain its leadership position.
Nvidia’s business has continued expanding at a rapid pace based on the financial figures. The company reported record fiscal 2026 revenue of $215.9 billion, including $68.1 billion in fourth-quarter revenue and $62.3 billion from its data center segment.
Investor attention is now turning to Nvidia’s August 4 earnings report. In this line, recent market expectations call for quarterly revenue of around $91 billion, reflecting continued demand for Blackwell AI systems.
Additional support has come from improving sentiment around international sales. Recent U.S. approvals allowing limited AI chip exports to China have eased some concerns about access to one of the world’s largest AI markets.
Despite periodic volatility, Wall Street continues to view Nvidia as one of the main beneficiaries of the global AI buildout. The upcoming earnings report is expected to provide a key test of whether massive AI infrastructure spending by major technology companies can continue at its current pace.
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Nvidia spouští nový financovací model pro neocloudy, který jim pomáhá nakupovat více AI čipů a rozšiřovat nabídku GPU. GMI Cloud do něj plánuje vložit 500 milionů USD.
GMI Cloud founder and CEO Alex Yeh. GMI Cloud Earlier this year, the AI startup Fireworks AI wanted to rent hundreds of millions of dollars' worth of AI compute.
Rather than buying massive clusters of Nvidia's AI chips, known as GPUs, or renting from cloud giants like Amazon or Microsoft, some startups like Fireworks turn to specialized AI cloud providers — called neoclouds — for faster access to GPUs, more competitive pricing, and infrastructure specifically tailored to AI. Fireworks chose the neocloud GMI Cloud.
There was a catch: To serve Fireworks, GMI first needed to buy the Nvidia GPU systems from a hardware manufacturer — and banks wouldn't provide the financing because Fireworks wasn't an investment-grade company.
GMI founder and CEO Alex Yeh said they brought the problem to Nvidia and began discussing a new financing model around the beginning of this year. Yeh described it as an "insurance product" in which Nvidia agrees to step in if one of GMI's customers stops paying. In exchange, GMI shares a portion of its revenue with Nvidia.
GMI told Business Insider it is committing $500 million to expand its AI infrastructure under this new financing model and said it's among the first neoclouds in Asia to employ it.
The arrangement helps neoclouds secure loans they might not otherwise receive, while enabling Nvidia to bring more of its GPUs to market. Yeh said that rising memory prices also factor into the model's economics.
Fireworks announced this month that it had raised $1.5 billion at a $17.5 billion valuation. Still, Yeh said banks have so far viewed frontier AI startups as non-investment-grade — though he added that the market is changing quickly.
Nvidia can expand its customer baseOther neoclouds, such as Firmus and Sharon AI, are among the first to work with Nvidia under the new business model the chipmaker announced in July.
Sharon cofounder and CEO James Manning said the arrangement marks an evolution in its relationship with Nvidia from a traditional supplier to a longer-term partner.
David Nicholson, chief technology advisor at The Futurum Group, said the strategy helps Nvidia broaden its customer base beyond top cloud providers — many of which are developing their own competing AI chips.
Brad Gastwirth, global head of research and market intelligence at Circular Technology, called the model smart, though he said it could be a "yellow flag" for investors, with the key question being how selectively Nvidia chooses which neoclouds to support to limit its financial risk.
Nvidia has previously been criticized for 'circular financing'The arrangement echoes Nvidia's intertwined relationships with companies like CoreWeave and OpenAI, in which it is both an investor and a supplier.
Arman Aleksanian, cofounder and CEO of the neocloud Eleveight AI — which is not in Nvidia's new financing program but is monitoring it — said critiques about "circular financing" were fair to consider, but only if the financing supports GPU purchases that aren't backed by actual demand.
"What I'd say is that circular financing is only dangerous when it manufactures demand that isn't actually there," he said. "If the capacity runs hot with real paying customers, then the financing did its job."
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Geoff Weiss is a senior reporter on Business Insider’s tech team, where he writes about AI startups and Y Combinator, the intersection of AI and the media industry, and workplace dynamics within top AI labs and chip companies.Previously, Geoff was on the media desk, covering YouTube and Netflix, and themes like the intersection of Hollywood and the creator economy. His work on Netflix’s video podcasting ambitions and Mr Beast’s lessons for Hollywood won second and first prize, respectively, at the 2025 LA Press Club Awards.Prior to joining Business Insider, Geoff was the senior editor of Tubefilter and a staff writer at Entrepreneur. He graduated from New York University with a degree in English Literature.He can be reached at [email protected], on Signal @geoffweiss.25, and on LinkedIn. Have a tip? Use a personal email address and a nonwork device; here's our guide to sharing information securely.Selected stories:Nvidia crushed its quarter — and CEO Jensen Huang said in a leaked all-hands that 'the market did not appreciate it'Nvidia will foot the bill for Trump's new visa fees. Here's what CEO Jensen Huang told staff.Massive AI salaries and RTO are fueling a real estate boom in San Francisco: 'It's going to rain money'The AI talent wars are ricocheting across startups. Here's how they're competing with Big Tech.
Wistron spustil v Texasu továrnu za 700 milionů USD na výrobu nejnovějších AI systémů Nvidia. Závod má letos vyrábět desítky tisíc výpočetních desek měsíčně.
A general view of electronics manufacturer Wistron's new global operations headquarters in Hsinchu, Taiwan June 19, 2025. REUTERS/Wen-Yee Lee/File Photo Purchase Licensing Rights, opens new tab
TAIPEI, July 22 (Reuters) - Taiwan's Wistron (3231.TW), opens new tab, a supplier to Nvidia (NVDA.O), opens new tab, launched a $700 million manufacturing facility in Texas on Tuesday to produce the U.S. chipmaker's latest AI systems, as Taiwanese electronics makers expand U.S. production to meet soaring demand for AI infrastructure.
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The Fort Worth facility manufactures Nvidia's GB300 Grace Blackwell Ultra Superchip. Nvidia CEO Jensen Huang has described the AI system built around the product as "the most powerful AI supercomputer in the world."
Wistron said the site is where Nvidia's first GB300 Grace Blackwell Ultra Superchip was built and mass-produced in the United States.
The factory will also manufacture Nvidia's next-generation Vera Rubin Superchip, Wistron said.
The factory is expected to scale up production this year to manufacture tens of thousands of computing boards per month, according to Nvidia.
The factory has created more than 500 jobs, Nvidia said, adding that it is on track to expand its workforce to 1,000 employees by the end of the year.
Nvidia said Wistron's Fort Worth plant forms part of the $500 billion U.S. investment commitment it announced in 2025.
Reporting by Wen-Yee Lee; Editing by Sherry Jacob-Phillips
Our Standards: The Thomson Reuters Trust Principles., opens new tab
Nvidia uzavřela poslední obchodní den na 207,29 USD, což je denní růst o 1,97 % a lepší výkon než S&P 500. Před zveřejněním výsledků trh čeká EPS 2,09 USD a výnosy 91,71 miliardy USD.
Nvidia (NVDA - Free Report) closed the most recent trading day at $207.29, moving +1.97% from the previous trading session. The stock outperformed the S&P 500, which registered a daily gain of 0.89%. At the same time, the Dow added 0.74%, and the tech-heavy Nasdaq gained 1.29%.
Heading into today, shares of the maker of graphics chips for gaming and artificial intelligence had lost 2.57% over the past month, outpacing the Computer and Technology sector's loss of 6.6% and lagging the S&P 500's loss of 0.63%.
The investment community will be paying close attention to the earnings performance of Nvidia in its upcoming release. The company's earnings per share (EPS) are projected to be $2.09, reflecting a 99.05% increase from the same quarter last year. Our most recent consensus estimate is calling for quarterly revenue of $91.71 billion, up 96.2% from the year-ago period.
For the full year, the Zacks Consensus Estimates are projecting earnings of $9.09 per share and revenue of $387.84 billion, which would represent changes of +90.57% and +79.61%, respectively, from the prior year.
Investors should also take note of any recent adjustments to analyst estimates for Nvidia. These revisions typically reflect the latest short-term business trends, which can change frequently. As a result, we can interpret positive estimate revisions as a good sign for the business outlook.
Based on our research, we believe these estimate revisions are directly related to near-term stock moves. To take advantage of this, we've established the Zacks Rank, an exclusive model that considers these estimated changes and delivers an operational rating system.
Ranging from #1 (Strong Buy) to #5 (Strong Sell), the Zacks Rank system has a proven, outside-audited track record of outperformance, with #1 stocks returning an average of +25% annually since 1988. The Zacks Consensus EPS estimate has moved 1.54% higher within the past month. At present, Nvidia boasts a Zacks Rank of #1 (Strong Buy).
Valuation is also important, so investors should note that Nvidia has a Forward P/E ratio of 22.37 right now. This indicates a discount in contrast to its industry's Forward P/E of 49.42.
We can also see that NVDA currently has a PEG ratio of 0.43. This popular metric is similar to the widely-known P/E ratio, with the difference being that the PEG ratio also takes into account the company's expected earnings growth rate. NVDA's industry had an average PEG ratio of 0.93 as of yesterday's close.
The Semiconductor - General industry is part of the Computer and Technology sector. This group has a Zacks Industry Rank of 5, putting it in the top 3% of all 250+ industries.
The strength of our individual industry groups is measured by the Zacks Industry Rank, which is calculated based on the average Zacks Rank of the individual stocks within these groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.
Be sure to follow all of these stock-moving metrics, and many more, on Zacks.com.
Amazon rozšiřuje čipy Trainium a tvrdí, že má závazky ve výši přes 225 miliard USD na jejich využití. Trainium 3 už míří do masové výroby a Trainium 4 má dorazit na přelomu let 2026 a 2027.
Amazon (NASDAQ:AMZN | AMZN Price Prediction) and NVIDIA (NASDAQ:NVDA) just closed earnings on opposite sides of the AI infrastructure trade. Amazon reported Q1 FY2026 on April 29, 2026, with AWS growing 28% and custom silicon crossing a $20 billion annual run rate. NVIDIA followed with Q1 FY2027 revenue of $81.62 billion, up 85.2%. Trainium is the reason to compare them right now.
AWS Sprints, Blackwell Still Roars AWS hit $37.59 billion in revenue, the fastest growth in fifteen quarters. CEO Andy Jassy told investors Amazon now has “over $225 billion in revenue commitments for Trainium”, anchored by Anthropic’s 5 GW deal and OpenAI’s 2 GW commitment starting 2027. Trainium2 is “largely sold out”, with 1.4 million chips already deployed powering most Bedrock inference.
NVIDIA’s Data Center revenue reached $75.25 billion, up 92%, with networking alone up 199%. Jensen Huang called this “the largest infrastructure expansion in human history”. Blackwell 300 is ramping and Vera Rubin is queued behind it. Non-GAAP gross margin held at 75.0%, roughly the mirror image of Amazon’s 50.3%.
The Three Ways Trainium Cracks NVIDIA’s Moat First, the mass volume ramp is happening now. The 3nm Trainium 3 moved from select early customers in early 2026 into mass production, and AWS hiked its Q3 2026 server shipment targets by 20% to 30% to support the ramp. Jassy said Trainium 3 is “30% to 40% more price performant than Trainium2” and nearly fully subscribed.
Second, distribution is changing. Reports emerged in June 2026 that Amazon is in active talks to sell physical Trainium server racks directly to external, sovereign, and co-location data centers. That breaks the AWS-only wall Trainium has lived behind and puts it in NVIDIA’s direct sales lane.
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Third, Trainium 4 lands next. The chip is designed to offer 3x the processing power of Trainium 3, is already heavily pre-ordered, and is scheduled for initial deployment in late 2026 to early 2027. Amazon frames the savings bluntly: “tens of billions of dollars of CapEx each year”.
Lens Amazon NVIDIA Core Bet Vertical AI stack GPU platform lock-in Gross Margin 50.3% 75.0% Anchor Commit $225B Trainium OpenAI 10 GW The Rubin Ramp Will Decide 2027 Watch whether Vera Rubin arrives with pricing power intact, or whether hyperscalers use Trainium 4 leverage to negotiate harder. Amazon still plans to deploy 1 million or more NVIDIA GPUs starting in 2026, so this is a share shift, not a replacement. The mix worth watching is inference workloads migrating from GPU to Trainium inside Bedrock’s 125,000 customer base.
Why I Lean Amazon for the Next Eighteen Months Amazon trades at a P/E of 30, the lowest in over a decade, while the chip business compounds at triple digits with anchor customers locked in. NVIDIA is the safer operating model at a 75.0% gross margin, but Polymarket traders see just a 5.8% chance NVDA closes above $220 today. For defensive AI exposure at a premium multiple, NVIDIA still works. For a re-rating catalyst tied to a specific product, Trainium 4 into early 2027 is the cleaner setup.
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Nvidia zveřejnila 9,3% podíl v Nebius, což potvrzuje její sázku na AI cloud mimo samotný prodej čipů. Podíl vychází z investice 2 mld. USD oznámené v březnu.
Nvidia’s disclosed 9.3% stake in Nebius shows how the chipmaker is trying to shape the global artificial-intelligence ecosystem beyond selling processors.
A Schedule 13G lists 22,256,412 Nebius Class A shares. The position is not a surprise acquisition. It reflects the $2 billion investment announced on March 11, when Nvidia backed the AI-cloud operator’s data-centre expansion.
The disclosure highlights a strategic loop.
Nvidia powers Nebius’s cloud, while its investment gives the chipmaker exposure to the customer’s future growth.
Nvidia directly holds 1,190,476 Nebius shares and may obtain another 21,065,936 through a pre-funded warrant acquired in March.
The warrant and underlying shares are locked until September 11.
However, because it became exercisable within 60 days of July 13, securities rules required Nvidia to count the warrant shares as beneficially owned.
That raised the reported holding to 9.3%, from an estimated 8.3% in March.
Nvidia agreed to invest $2 billion at an effective price of $94.94 per share. Nebius said the proceeds would support its AI cloud and new data centres.
The Schedule 13G is a passive ownership filing, not evidence that Nvidia is preparing a takeover.
Nebius specialises in cloud infrastructure for companies training and running AI models.
Unlike diversified providers such as Amazon, Microsoft and Google, neoclouds concentrate on graphics-processor-intensive workloads.
The company plans to deploy more than five gigawatts of computing capacity by the end of 2030.
That should require substantial quantities of Nvidia processors, networking products and software, making Nebius both an investment and an important customer.
D.A. Davidson technology research head Gil Luria told Reuters in May that the greatest leverage was in “AI clouds and, specifically, Nebius”.
Luria was discussing another investor’s stake, but his assessment captures Nvidia’s logic.
He maintained a Neutral rating, warning that Nebius’s valuation could restrict near-term gains without additional catalysts.
AI start-up Reflection signed a computing agreement worth more than $1 billion with Nebius in July, including access to Nvidia’s latest chips.
Northland this week raised its Nebius target to $410 from $248 and retained an Outperform rating.
The firm said Nebius’s first secured financing backed by deployed GPU infrastructure was “answering a key lingering doubt” about funding expansion without repeated share issuance.
Also read- Apple stock: has Wall Street found its post-Nvidia AI trade?
The bullish interpretation is that Nvidia is using its balance sheet to expand the market for its technology.
Financing specialised cloud providers can create more computing capacity, accelerate new systems and reduce reliance on a few hyperscalers.
The concern is that Nvidia is funding businesses that may return part of that capital through chip purchases.
Critics argue such arrangements blur the line between independent demand and vendor-supported expansion.
Nebius also brings indirect exposure to construction costs, power availability and capital-intensive customers.
BofA analyst Vivek Arya called broader concerns about AI financing “highly overstated.”
He estimated circular arrangements would represent only 5% to 10% of roughly $5 trillion in AI spending expected through 2030.
Bank Earnings Are Roaring, But Wall Street Isn't Ready to CelebrateNVIDIA NASDAQ: NVDA used its 2026 SIGGRAPH Research Keynote to outline a broad push to combine computer graphics, simulation and artificial intelligence, including a new DLSS 5 technology for real-time rendering, advances in AI-assisted physics simulation and new additions to its Cosmos world foundation model platform for physical AI.
The keynote opened with NVIDIA framing computer graphics as entering “a new era,” with AI increasingly tied to rendering, simulation, robotics and digital twins. Jensen, who introduced the session, said NVIDIA’s history at SIGGRAPH has included programmable GPUs, CUDA, RTX and Omniverse, and argued that virtual worlds will be central to training robots before they operate in the real world.
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2 Quantum Stocks That Could Challenge IonQ’s Leadership“Before robots operate in the real world, they will learn in virtual worlds with synthetic experiences,” Jensen said. “That is why computer graphics matter more than ever.”
DLSS 5 Targets Real-Time Photorealism Edward Liu, NVIDIA’s Director of Applied Deep Learning Research and the technical leader behind DLSS, introduced DLSS 5, describing it as a new generation of the company’s AI rendering technology. Liu said DLSS 5 uses traditional rendering as a foundation, then applies generation to enrich the final appearance of the image in real time.
The SK Hynix IPO and 2027’s AI Memory Squeeze“The renderer keeps building the world exactly as the game has authored it,” Liu said. “The generation becomes the learned stage afterwards to enrich its appearance.”
Liu said DLSS 5 is intended to combine the controllability of rendering with the photorealistic knowledge learned by generative models. He emphasized that the technology is not designed to replace graphics pipelines, but to extend them. He described DLSS 5 as adding a third category of AI use in real-time rendering, alongside reconstruction and function approximation.
According to Liu, NVIDIA had to address three core challenges: preserving artistic intent, maintaining temporal coherence frame by frame and fitting within the tight performance budget of real-time games. He said the model uses renderer outputs and internal buffers such as albedo, surface normals and lighting information to preserve details that are important to a scene, while enhancing elements such as subsurface scattering, material response, contact shadows and environment lighting.
Liu said DLSS 5 runs causally, “one frame in, one frame out,” without looking ahead, and was distilled into a smaller one-step pixel-space diffusion transformer model focused specifically on making real-time rendering appear more realistic. He said DLSS 5 is “shipping this fall.”
Artists Get Controls Over AI-Enhanced Frames Gaff, described as a creative artist, demonstrated how developers and artists can direct DLSS 5. He said the technology respects the original rendered frame and does not change geometry, but can uplift images by improving contrast, ambient occlusion, contact shadows, reflections and subsurface scattering.
Gaff showed controls including different models, structure intensity and tone intensity. He said developers can choose different models for different scenes or cut scenes, and can use masks to apply DLSS 5 effects to specific characters, props or parts of an environment.
“DLSS 5 is fully controllable from the developer,” Gaff said, adding that NVIDIA is working with partners to incorporate feedback so the technology can serve artists, art directors and creative directors.
NVIDIA Highlights AI Physics for Simulation Neil Ashton discussed physics-based simulation and how AI could help reduce the computational cost of high-fidelity simulations. He pointed to a large climate simulation running on more than 20,000 GPUs at one-kilometer resolution and a 50 billion-cell grid, calling it an example of the accuracy possible with physics-based methods but also a reminder of their cost.
Ashton said AI models trained on simulation data are already being used in weather and climate, where they can predict future weather in seconds or minutes compared with hours or days. He said weather centers now use AI models in production, and highlighted StormScope as an advanced AI model trained on satellite and observation data for storm prediction.
He also described applying similar methods to engineering simulations, such as airflow over aircraft. Ashton said an open dataset of roughly 2,000 aircraft simulations generated about 200 terabytes of data, while the trained model checkpoint was about 200 megabytes. He said the model could predict unseen geometries or boundary conditions more than 10,000 times faster, with accuracy within about 1% or 2%.
Cosmos Platform Expands for Physical AI Ming Liu, VP of the Cosmos Lab at NVIDIA, said physical AI faces a data problem because robots need to learn from the real world, but real-world data is slow to collect. He described Cosmos as NVIDIA’s world foundation model for physical AI developers, designed to provide better data, better environments and better starting points.
Liu said Cosmos can support world understanding, prediction, simulation and action using one shared representation, based on the idea that physical AI tasks draw from the same physics. He described a mixture-of-transformers architecture with an autoregressive tower for reasoning and a diffusion tower for generation, aligning language, vision, audio and action.
Liu announced Cosmos 3 Edge, a four-billion-parameter model built to run real time on devices such as Jetson Thor, RTX and DGX Spark. He said it is intended to enable robot policy and video analytics without a round trip to a data center. NVIDIA also demonstrated a robot arm and camera connected to Jetson Thor running Cosmos 3 Edge policy for real-time control.
Liu also announced Cosmos Dreams, described as neural closed-loop simulators. The first version is designed for autonomous vehicles, generating what vehicle sensors will see based on actions taken by a policy model. In a live demo, Andy showed an autonomous driving simulation generated from a single frame and controlled with a PS5 controller, running on a single RTX 6000 Ada Generation workstation GPU.
Liu said Cosmos Dreams can be used for policy verification and training by generating scenarios that are difficult to craft in the real world. He said Cosmos is being used across NVIDIA efforts including Metropolis VSS, Isaac, Optane and GR00T, and invited developers and partners to join the Cosmos platform.
About NVIDIA (NASDAQ:NVDA)NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company's product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest reporting and unbiased coverage. Please send any questions or comments about this story to [email protected].
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Nvidia v pondělí mírně vzrostla o 0,93 %, ale investoři čekají na výsledky velkých technologických firem kvůli signálům ohledně výdajů na AI infrastrukturu. Alphabet odstartuje výsledkovou sezónu velkých technologických firem ve středu, takže jeho výsledky budou raným ukazatelem, zda hyperscaleři zůstávají odhodláni masivně investovat do AI hardwaru.
Nvidia NVDA stock traded modestly higher on Monday, but investor attention is increasingly shifting toward the upcoming earnings season, where major technology companies are expected to provide fresh updates on artificial intelligence spending.
Shares of the AI chipmaker rose 0.93% to $204.69 on Monday, although the gain trailed the 1.8% advance in the PHLX Semiconductor Index.
Nvidia has underperformed the broader market, with the S&P 500 posting a 9% year-to-date gain against Nvidia's 8% gain.
The stock had declined 2.2% on Friday and narrowly held onto its position as the world's most valuable publicly traded company after Apple briefly overtook it by market capitalization before Nvidia regained the lead.
With Nvidia scheduled to report earnings later in the season, investors are looking to its largest customers for signals on future AI infrastructure spending.
Alphabet is set to kick off earnings for major technology companies on Wednesday, making its results an early indicator of whether hyperscalers remain committed to investing heavily in AI hardware.
AI spending outlook remains the key catalystWall Street continues to view spending plans from large technology companies as the biggest near-term catalyst for Nvidia shares.
Strong commitments to AI infrastructure could reinforce demand for Nvidia's processors, while any signs of slower capital expenditure may increase investor concerns following the recent pullback in semiconductor stocks.
KeyBanc analyst John Vinh acknowledged Nvidia's leadership position but noted that investors remain cautious about several factors affecting sentiment.
“Street sentiment on the name is mixed, while Nvidia is the clear leader in Gen ai, concerns surround delays in Vera Rubin ramp timing and increasing competitive pressures,” Vinh wrote in a research note on Sunday.
Vinh maintained an Overweight rating on Nvidia stock with a $330 price target.
Competition within the AI hardware market also continues to intensify.
Startup Etched, which develops chips designed for AI inference workloads, is reportedly preparing to quadruple its valuation to approximately $20 billion in a new funding round led by existing investor Jane Street, according to a Wall Street Journal report.
Wall Street remains constructive despite sector volatilityDespite recent volatility across semiconductor stocks, several Wall Street firms continue to express confidence in Nvidia's long-term outlook.
Oppenheimer included Nvidia and Lam Research among the largest companies featured in its latest "best of the best" momentum screen.
The firm's proprietary Momentum Overlay scoring system ranks stocks based on risk-adjusted returns over six-, nine-, and 12-month periods while excluding the most recent month.
According to Oppenheimer, companies included in the screen carry Outperform ratings and Buy trend assessments.
Morgan Stanley also described the recent semiconductor selloff as an attractive buying opportunity.
According to a CNBC report, Morgan Stanley analyst Joseph Moore said the firm's preferred AI investments remain compute-focused companies such as Nvidia and Broadcom.
While maintaining its preference for AI compute leaders, Moore also said memory stocks have become increasingly attractive following the recent correction, describing them as a “compelling entry point.”
The upcoming earnings season is expected to provide investors with greater clarity on enterprise AI demand, capital spending plans, and whether Nvidia's largest customers remain committed to expanding their AI infrastructure investments.
Those updates could play a significant role in determining the next direction for Nvidia shares.
NVIDIA rozšířila sadu Agent Toolkit o knihovny Omniverse, které dávají AI agentům nástroje pro senzorovou simulaci, fyziku a validaci 3D assetů pro simulaci. Knihovny jsou volně dostupné na GitHubu.
NVIDIA Agent Toolkit now includes NVIDIA Omniverse libraries, giving AI agents tools and skills to help software developers integrate physical AI capabilities into their existing applications.New Omniverse libraries for NVIDIA RTX sensor simulation, GPU-accelerated physics simulation and simulation-ready asset validation are openly available on GitHub.SideFX and PTC are integrating Omniverse libraries into 3D applications for physical AI, with support for cloud and local AI systems, from NVIDIA RTX Spark to NVIDIA DGX Station.New NVIDIA blueprint for integrating Omniverse libraries in Blender. LOS ANGELES, July 20, 2026 (GLOBE NEWSWIRE) -- SIGGRAPH -- NVIDIA today announced that NVIDIA Agent Toolkit now includes NVIDIA Omniverse™ libraries — a collection of software components that give AI agents tools and skills to add physical AI capabilities to existing applications and prepare 3D content for simulation.
Robots, factories and autonomous systems need to be designed, tested and trained in simulation before they operate in the real world. Preparing 3D content for simulation takes more than realistic visuals — assets need the right structure, materials, scale, labels, sensors and physical properties. With NVIDIA Omniverse libraries in NVIDIA Agent Toolkit, AI agents have the tools and skills to build workflows, inspect scenes, flag issues and prepare assets, helping developers move faster from 3D content to simulation-ready environments.
“The physical AI era will be built in simulation first,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA Agent Toolkit with Omniverse libraries brings AI agents into the 3D tools developers already use, helping build the simulation-ready worlds where robots, factories and autonomous systems are trained and tested long before they reach the real world.”
Software makers including SideFX and PTC are integrating Omniverse libraries for agent-ready sensor simulation, physics and asset validation, helping bring agentic AI into the applications and workflows developers and technical artists already use to prepare 3D content.
Omniverse Libraries Bring Physical AI Skills to NVIDIA Agent Toolkit
NVIDIA Agent Toolkit helps software makers build AI agents that connect tools, skills and data sources. Omniverse libraries extend those agents into 3D and physical AI workflows with callable tools for sensor simulation, GPU-accelerated physics and simulation-ready asset validation inside existing applications.
The new Omniverse libraries — including ovrtx, ovphysx and CAD-to-SimReady skills — are openly available on GitHub, giving AI agents tools to build workflows for inspecting scenes, testing changes and preparing 3D assets for simulation. A new blueprint for integrating Omniverse libraries in Blender is also now available on GitHub.
The libraries’ key capabilities include:
NVIDIA RTX sensor simulation: ovrtx helps applications generate camera, lidar, radar and other sensor outputs from 3D scenes, so developers and AI agents can test how physical AI systems may perceive virtual environments.Physical behavior: ovphysx uses GPU-accelerated physics to bring realistic behavior to 3D scenes using properties such as collisions, mass, friction and motion, so teams can first test how objects and systems interact in simulation.Simulation-ready 3D objects: CAD-to-SimReady skills help convert computer-aided design (CAD) data to SimReady assets built on OpenUSD, giving 3D content the properties needed for physical AI simulation and virtual testing.
Software Makers Build With Omniverse Libraries
Software makers including SideFX and PTC, as well as startups ForgeCAD, Lightwheel, Moonlake AI and Palatial, are among the first to adopt and build with Omniverse libraries, now part of NVIDIA Agent Toolkit.
SideFX is using OpenUSD workflows, as well as ovrtx and ovphysx libraries, to explore how agents can help integrate Omniverse libraries into its Houdini procedural 3D content creation workflows, giving technical artists a path to generate, test physics and prepare content for simulation.
“Procedural 3D creation is essential to building the complex, controllable worlds needed for simulation, robotics and industrial AI,” said Kim Davidson, president and CEO of SideFX. “With NVIDIA Omniverse libraries and OpenUSD, SideFX is exploring how agent-ready tools can support Houdini workflows, helping technical artists review, test and prepare procedural content for simulation while staying in control of the creative process.”
The PTC Onshape CAD and product data management (PDM) platform is using OpenUSD and ovrtx to connect cloud-native design workflows with physical simulation, helping product design content stay connected with CAD, PDM, collaboration and simulation workflows.
“Engineering teams are seeking more connected ways to design, collaborate and simulate throughout the development process,” said Neil Barua, president and CEO of PTC. “PTC’s work with NVIDIA supports that broader vision, while NVIDIA Omniverse libraries help enable simulation-ready workflows that bring validation and testing closer to where products are designed.”
On display at SIGGRAPH, “SimReady” Blender is a sample workflow built in Blender with NVIDIA Omniverse libraries and NVIDIA NemoClaw™, showing how software makers can add agent-ready simulation capabilities — including NVIDIA RTX sensor simulation, physics and validation — into existing 3D applications while keeping creators in control. This is now openly available as a blueprint for integrating Omniverse libraries in Blender.
The demo also previews how these workflows, built with Omniverse libraries as part of NVIDIA Agent Toolkit, can run locally, from compact RTX-powered systems with NVIDIA RTX Spark™ to NVIDIA GB300-powered systems with NVIDIA DGX Station™. RTX Spark systems will be available this fall from ASUS, Dell Technologies, HP, Lenovo, Microsoft Surface and MSI, with models from Acer and GIGABYTE to follow. DGX Station systems are available to order from ASUS, Dell, GIGABYTE, HP, MSI, Supermicro and Exxact.
Startups, including those part of the NVIDIA Inception program, are also using Omniverse libraries and skills to add agent-assisted asset and scene preparation workflows. Palatial is using Omniverse CAD-to-SimReady skills to automate the creation and validation of SimReady assets at scale from CAD inputs. Lightwheel is using Omniverse Content Agents powered by OpenUSD in its SimReadyGen technology to generate physically accurate SimReady assets from text prompts.
ForgeCAD and Moonlake AI are exploring agent-driven 3D content workflows that use Omniverse capabilities to help generate, augment and prepare assets for physical AI simulation.
Watch the NVIDIA keynote at SIGGRAPH. Learn more about NVIDIA Omniverse libraries and explore available samples and documentation.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact:
Paris Fox
Corporate Communications
NVIDIA Corporation [email protected]
Certain statements in this press release including, but not limited to, statements as to: expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/1db6fb48-31e7-4ea7-8281-2713208e224e
NVIDIA Launches Omniverse Libraries, Putting AI Agents to Work Building Simulation-Ready Worlds NVIDIA today announced NVIDIA Omniverse libraries — a collection of software components that give AI...
Google zrychluje snahu prorazit s TPU proti Nvidii a jedná s „neo-cloud“ poskytovateli o rozšíření nabídky. TPU už získávají klienty jako Anthropic, Apple a Meta.
Google is escalating its campaign to break Nvidia Corp's (NASDAQ:NVDA, XETRA:NVD) grip on artificial intelligence chips, deploying creative dealmaking to push its Tensor Processing Units (TPUs) into the wider market.
The strategy, detailed in exclusive reporting by The Information's Amir Efrati, targets the "neo-clouds": specialised GPU cloud providers, many of which began life as cryptocurrency miners.
Hundreds of these firms exist, but only about half a dozen matter, and Alphabet Inc (NASDAQ:GOOG)-owned Google has been in talks with them about adding TPUs to their offerings.
The pitch is diversification, freeing these providers from total dependence on Nvidia, alongside a technical argument that TPU designs have remained stable while Nvidia's architecture changes radically with each generation.
Those frequent shifts create genuine installation headaches for the data centre operators tasked with deploying them.
Financial firepower
The competition is increasingly being fought with balance sheets rather than benchmarks.
Nvidia has long used its financial muscle to support its largest customers, and Google is now considering matching that approach by offering backstop deals to lenders.
Under these arrangements, Google would guarantee payments if businesses that borrow to buy TPUs cannot find renters or buyers for the chips.
Google holds a structural advantage here: unused TPUs can simply be absorbed into its own cloud operations, whereas Nvidia lacks a cloud business of comparable scale to soak up stranded hardware.
A joint venture with Blackstone to build a TPU-based cloud provider extends the same logic.
The friction is already visible, with reports suggesting Nvidia became aware of Google's discussions with neo-cloud provider Nscale and may have offered additional incentives to discourage TPU adoption, though Nscale has said on the record that this is not its position.
Jensen Huang is said to monitor Google's chip programme closely and regards the company as a significant competitive threat.
An awkward embrace
The rivalry is complicated by mutual dependence.
Google remains one of Nvidia's largest customers, buying GPUs at scale for a cloud business that serves external clients, and it currently needs Nvidia's supply as much as Nvidia needs its custom.
Meanwhile, the external TPU business is gaining real traction, with Anthropic, Apple and Meta among the clients, and Meta emerging as a significant customer.
The next constraint is manufacturing, since TSMC is the bottleneck through which all chip ambitions must pass, and Google secures its capacity via Broadcom as intermediary.
Allocations for 2027 production are being determined now, and the capacity Google wins will indicate how seriously TSMC takes the TPU business against competing demands from Nvidia and others.
The stakes extend beyond chips: with gigawatt data centres costing $50 billion to $60 billion and rising, the companies able to guarantee that spending will shape the infrastructure of the entire AI economy.
Nvidia uvádí, že globální kapitálové výdaje na datová centra by mohly do roku 2030 vzrůst až na 4 biliony USD. To by podle firmy mohlo podpořit tržní kapitalizaci Nvidie až na 20 bilionů USD.
Nvidia (NVDA 1.97%) enjoys one particular attribute that is a hallmark of many successful companies: It's still being led by one of its founders, Jensen Huang. There are countless examples of visionaries who have built business empires, and Huang ranks among the best.
Over the company's past few quarterly conference calls, Nvidia has repeatedly told investors it expects that the world's annual data center capital expenditures could grow to up to $4 trillion by 2030. That's a huge prediction, and if it's right, Nvidia could become a $20 trillion stock over the next few years.
That would be a gigantic increase from its $5 trillion market cap today, but the math to support that prediction is pretty simple.
Image source: Nvidia.
The data center build-out could last for many years Nvidia makes GPUs and the various products that support their use in data centers. Its GPUs have become the gold standard by which all high-performance parallel processors are measured. Furthermore, Nvidia captured the vast majority of the market in the early days of the AI arms race, which makes it incredibly difficult for data center operators to switch away from its products now. This advantage will only grow as more data centers are built.
The big four AI hyperscalers have estimated that they will spend a total of around $650 billion on data center capital expenditures in 2026. That figure doesn't include the spending of neoclouds, international players in markets such as China, nor other rising stars like large language model developers Anthropic and OpenAI.
With that in mind, we can estimate that 2026's actual total data center spend will be something more like $800 billion. Huang's prediction of $4 trillion in global data center capital expenditures by 2030 would therefore be a fivefold rise. If Nvidia keeps capturing its current share of that market's sales and profits, its top and bottom lines would rise proportionally.
The company only needs to quadruple to reach a $20 trillion market cap from today's level, so Nvidia could actually lose market share and still hit that target, assuming Huang's projection for data center capex pans out.
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However, I don't see that market share loss as likely. Nvidia is still rapidly growing: In its latest quarter, revenue grew 85% year over year. Next quarter, Wall Street analysts expect nearly 100% revenue growth. All that growth is without any chip sales to China. But that could be changing.
A U.S. official recently stated that "very few" Nvidia H200 chips have been shipped to China. While that may sound negative, that comment can actually be read as a strong sign that Nvidia is returning to the Chinese market. The U.S. government banned the export of most of its high-end chips to China, and even after President Trump relaxed those restrictions somewhat, the Chinese government has been putting roadblocks in the way of Nvidia's return. If those barriers are coming down, that would be a growth catalyst for sales that's currently not factored into any of the company's guidance figures. The result could be even greater growth for Nvidia and better returns for its shareholders.
Given the potential for Nvidia to quadruple over the next four and a half years, it's a no-brainer buy at these levels.
Frank Rimerman Advisors LLC boosted its stake in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 1.0% during the 1st quarter, according to its most recent 13F filing with the Securities and Exchange Commission. The institutional investor owned 565,454 shares of the computer hardware maker’s stock after acquiring an additional 5,570 shares during the quarter. NVIDIA accounts for 6.5% of Frank Rimerman Advisors LLC’s portfolio, making the stock its largest position. Frank Rimerman Advisors LLC’s holdings in NVIDIA were worth $98,615,000 as of its most recent filing with the Securities and Exchange Commission.
Other institutional investors and hedge funds have also recently added to or reduced their stakes in the company. Diversified Enterprises LLC boosted its position in NVIDIA by 44.2% during the fourth quarter. Diversified Enterprises LLC now owns 127,604 shares of the computer hardware maker’s stock valued at $23,798,000 after purchasing an additional 39,129 shares during the last quarter. ASR Vermogensbeheer N.V. increased its position in shares of NVIDIA by 1.8% during the 4th quarter. ASR Vermogensbeheer N.V. now owns 3,169,377 shares of the computer hardware maker’s stock worth $591,086,000 after purchasing an additional 54,877 shares during the last quarter. PMG Family Office LLC acquired a new position in shares of NVIDIA during the 3rd quarter worth approximately $2,150,000. Storen Legacy Partners LLC acquired a new stake in shares of NVIDIA in the 4th quarter valued at approximately $1,350,000. Finally, Weaver Capital Management LLC boosted its holdings in shares of NVIDIA by 5.5% in the 4th quarter. Weaver Capital Management LLC now owns 85,216 shares of the computer hardware maker’s stock valued at $15,893,000 after buying an additional 4,439 shares during the last quarter. 65.27% of the stock is owned by institutional investors and hedge funds.
NVIDIA Stock Down 2.2% Shares of NVDA opened at $202.81 on Friday. The firm has a market cap of $4.91 trillion, a P/E ratio of 31.06, a price-to-earnings-growth ratio of 0.45 and a beta of 2.21. The company has a debt-to-equity ratio of 0.04, a quick ratio of 2.85 and a current ratio of 3.44. NVIDIA Corporation has a 52 week low of $164.07 and a 52 week high of $236.54. The firm’s 50-day simple moving average is $209.63 and its 200 day simple moving average is $195.10.
NVIDIA (NASDAQ:NVDA – Get Free Report) last issued its quarterly earnings data on Wednesday, May 20th. The computer hardware maker reported $1.87 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $1.76 by $0.11. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.The company had revenue of $81.61 billion during the quarter, compared to analysts’ expectations of $78.42 billion. During the same quarter in the previous year, the company posted $0.81 earnings per share. The business’s revenue was up 85.2% on a year-over-year basis. On average, analysts forecast that NVIDIA Corporation will post 8.79 earnings per share for the current year.
NVIDIA declared that its board has approved a share repurchase program on Wednesday, May 20th that allows the company to buyback $80.00 billion in shares. This buyback authorization allows the computer hardware maker to buy up to 1.5% of its shares through open market purchases. Shares buyback programs are generally a sign that the company’s board believes its shares are undervalued.
NVIDIA Increases Dividend The company also recently disclosed a quarterly dividend, which was paid on Friday, June 26th. Shareholders of record on Thursday, June 4th were issued a $0.25 dividend. The ex-dividend date of this dividend was Thursday, June 4th. This represents a $1.00 dividend on an annualized basis and a yield of 0.5%. This is a positive change from NVIDIA’s previous quarterly dividend of $0.01. NVIDIA’s payout ratio is currently 15.31%.
Insiders Place Their Bets In other NVIDIA news, Director John Dabiri sold 625 shares of NVIDIA stock in a transaction on Wednesday, May 27th. The stock was sold at an average price of $214.00, for a total value of $133,750.00. Following the completion of the transaction, the director directly owned 14,163 shares of the company’s stock, valued at $3,030,882. The trade was a 4.23% decrease in their position. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which is available at the SEC website. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Stephen C. Neal sold 15,500 shares of the business’s stock in a transaction dated Wednesday, June 3rd. The shares were sold at an average price of $215.73, for a total value of $3,343,815.00. Following the completion of the transaction, the director directly owned 116,135 shares of the company’s stock, valued at approximately $25,053,803.55. This trade represents a 11.77% decrease in their position. The SEC filing for this sale provides additional information. Insiders have sold 1,901,125 shares of company stock worth $410,583,015 in the last 90 days. Company insiders own 3.94% of the company’s stock.
Analyst Ratings Changes A number of equities analysts recently weighed in on the stock. Weiss Ratings restated a “buy (b)” rating on shares of NVIDIA in a report on Wednesday, July 8th. CICC Research boosted their price objective on shares of NVIDIA from $240.60 to $268.30 and gave the stock an “outperform” rating in a research note on Friday, May 22nd. Wells Fargo & Company reaffirmed an “overweight” rating and issued a $315.00 target price (up from $265.00) on shares of NVIDIA in a report on Tuesday, May 12th. JPMorgan Chase & Co. lifted their price target on NVIDIA from $265.00 to $280.00 and gave the stock an “overweight” rating in a report on Thursday, May 21st. Finally, BNP Paribas Exane boosted their price target on NVIDIA from $270.00 to $285.00 and gave the stock an “outperform” rating in a research report on Thursday, May 21st. Two equities research analysts have rated the stock with a Strong Buy rating, forty-eight have assigned a Buy rating and three have given a Hold rating to the company. Based on data from MarketBeat, NVIDIA currently has a consensus rating of “Moderate Buy” and a consensus target price of $304.26.
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More NVIDIA News Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA expanded its AI footprint in Japan with new partnerships across robotics, manufacturing, and public-sector infrastructure, including a national AI infrastructure initiative and the launch of Cosmos 3 Edge and Nemotron-based local AI projects. These moves reinforce NVDA’s role as the core platform for physical AI and could support long-term demand. Japan Government, Industrial Leaders and NVIDIA Launch the World’s First National AI Infrastructure Positive Sentiment: Multiple analysts raised earnings estimates for NVIDIA, with KeyCorp and Erste Group boosting forecasts and maintaining bullish ratings/price targets. That suggests Wall Street still sees strong profit growth ahead. Positive Sentiment: TSMC reported strong AI-driven demand, which is a positive read-through for NVIDIA’s supply chain and ongoing chip demand. TSMC Just Announced Fantastic News for Nvidia Shareholders Neutral Sentiment: Apple briefly overtook NVIDIA as the world’s most valuable company, highlighting a rotation in mega-cap leadership and renewed investor doubts about how much AI upside is already priced into NVDA. Apple dethrones Nvidia as world’s most valuable company, ending the chipmaker’s long run at the top Neutral Sentiment: Several articles point to a broader semiconductor sell-off and “sell the news” behavior in AI and chip stocks, which appears to be pressuring NVDA along with peers rather than reflecting a company-specific setback. Why Nvidia stock is down around 2.5% on Thursday Negative Sentiment: Market commentary from Jim Cramer and other bearish notes on semiconductors suggest some investors are rotating out of chip stocks, adding near-term pressure to NVDA sentiment. Jim Cramer Says Semiconductor Stocks Are “Going Down.” Buy These 2 Dividend Stocks Instead NVIDIA Company Profile (Free Report)
NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.
The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.
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