There is something unusual happening with NVIDIA Corp. (NASDAQ:NVDA): the company at the center of the artificial intelligence boom is now financing parts of the boom itself.
Nvidia has committed roughly $300 billion to AI ecosystem partners through equity investments, financing guarantees and other backstops.
• NVIDIA stock is trending lower. Why is NVDA stock trading lower?
That sounds alarming until you compare it with the cash Nvidia is expected to generate.
Bank of America analyst Vivek Arya estimates the company could produce about $470 billion in free cash flow over calendar 2026 and 2027.
That creates the central question for investors: Is Nvidia taking too much financial risk, or is Wall Street underestimating the value of controlling the entire AI ecosystem?
Bank of America thinks it is the latter.
The bank’s 12-month price target on Nvidia sits at $350, implying a 55% upside from Monday’s close.
Nvidia Is No Longer Just Selling ChipsThe market still largely views Nvidia as the dominant supplier of AI processors.
But its strategy is becoming much broader.
Nvidia is helping secure chips, data center land, electricity and the physical infrastructure needed to deploy them. This is particularly important for frontier AI companies whose balance sheets cannot support their explosive growth.
"NVDA is committed to the transformational nature of AI and to securing every input — chip supply, land, power, shell — especially for disruptive, non-investment-grade customers such as frontier labs and neo-clouds," Bank of America said.
That strategy carries an obvious risk.
If AI demand slows, Nvidia could face pressure not only on revenue growth, but also on investments tied to customers and infrastructure projects.
Yet there is another side to the equation.
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The $300 Billion Number Looks Worse Than It IsBank of America estimates that roughly $70 billion of Nvidia’s commitments are direct equity investments.
Another $230 billion consists of residual-value guarantees or financing backstops. These are not equivalent to Nvidia simply handing customers $230 billion in cash.
The distinction matters.
For the recently announced Ohio data center, Nvidia is backing up to $105 billion of financing for infrastructure leased by OpenAI.
Bank of America estimates that the initial 4.25-gigawatt site could represent roughly 1.5 million GPUs and generate $75 billion–$100 billion of free cash flow for Nvidia over the relevant product cycle.
The guarantee is capped at $105 billion.
That means the potential cash generation from the project could approach the size of the guarantee before considering future upgrades.
"GPU is fungible, protects residual value," BofA said.
In plain English, Nvidia’s chips can potentially be moved to another customer if a project fails.
That makes the financing risk different from a traditional corporate loan.
Wall Street May Be Pricing Nvidia Like a Riskier CompanyThis is where Bank of America’s valuation argument becomes striking.
Nvidia trades at about 18 times estimated calendar 2027 free cash flow and 15 times estimated calendar 2028 free cash flow.
The average for comparable AI semiconductor companies is roughly 38 times and 25 times, respectively.
Bank of America believes investors are effectively applying a heavy discount because Nvidia is using part of its cash to finance the ecosystem.
But even after applying a 50% haircut to that investment-related cash flow, the firm estimates Nvidia could be worth 50% more in calendar 2027 and 34% more in calendar 2028 under its conceptual valuation framework.
The Lever Management Could PullArya’s suggested remedy is not a product. It is buybacks.
Nvidia currently returns 50% of its free cash flow to shareholders; peers return 75% to 100%.
Raising that share, the note said, may be the most forceful answer to the earnings-quality concerns weighing on the multiple.
Bank of America reiterated Buy with a $350 price objective, built on 26 times its 2027 earnings estimate excluding cash.
Where The Street Already Sits on NVDAAccording to Benzinga analyst ratings, Nvidia holds a consensus Buy rating and an average price target of $312.81, about 37% above Monday’s $227.72.
Nvidia reports second-quarter results Aug. 26, and Bank of America expects revenue of $94 billion to $95 billion against a $91 billion guide.
GF Securities zvýšila cílovou cenu Nvidia na 345 USD z 308 USD a ponechala doporučení Buy před zveřejněním výsledků. Jeff Pu vidí silnou poptávku po platformě Vera Rubin.
received a higher price target from GF Securities as the chipmaker prepares to report quarterly results, with analyst Jeff Pu maintaining a Buy rating and pointing to demand for its next-generation Vera Rubin platform.
Pu lifted his target to $345 from $308. He expects new orders and Nvidia's system design approach to support the product cycle, with additional demand potentially coming from cloud providers and newer AI infrastructure companies.
The analyst also sees Nvidia gaining ground against custom accelerator chips and rival platforms. Microsoft
MSFT +0.36% 96
, Amazon
AMZN +0.04% 93
, Alphabet's Google
GOOG +0.04% 96
, and Oracle
ORCL -1.57% 90
have increased demand for Vera Rubin, according to the note.
Pu said Nvidia could also benefit from higher activity at Anthropic and broader interest in open-weight AI models. The company is scheduled to release fiscal second-quarter results on Aug. 26.
Nvidia je na cestě překonat výkonnost indexu S&P 500 už čtvrtý rok po sobě. Současně podepsala memoranda o porozumění s BlackRock, Blackstone, KKR, Apollo Global Management, Brookfield a Goldman Sachs o financování AI infrastruktury v objemu 500 miliard USD.
Since the start of 2023, Nvidia (NVDA -2.32%) has given its shareholders a staggering 1,440% total return compared to a 113.2% total return for the S&P 500 (^GSPC -0.53%). As of market close on Aug. 14, Nvidia was the best-performing "Magnificent Seven" stock year to date and the only one outperforming the Nasdaq-100 -- putting the chipmaker on track to beat the S&P 500 for the fourth straight year.
Here's what investors need to know about Nvidia's latest collaboration with major financial institutions, the risks involved, and why the deals could help Nvidia remain a long-term compounder for years to come.
Image source: Nvidia.
Underwriting AI infrastructure Nvidia is now so massive that it takes considerable earnings growth to move the needle -- specifically from its data center segment, which made up 92% of revenue in the first quarter of its fiscal 2027. It is heavily reliant on a handful of customers -- such as hyperscalers and the leading developers of artificial intelligence (AI) models -- to drive its earnings growth. That concentration is a double-edged sword. It is benefiting Nvidia right now because its key customers' AI capital expenditures continue to climb. But its results could take a significant hit even if one or two of those customers pull back on spending.
To broaden its customer base, Nvidia signed memorandums of understanding with BlackRock, Blackstone, KKR, Apollo Global Management, Brookfield, and Goldman Sachs to pull together $500 billion in long-term capital to fund the build-out of AI infrastructure. In an Aug. 10 interview on CNBC, Nvidia founder and CEO Jensen Huang estimated that each gigawatt (GW) of AI compute will cost between $50 billion and $60 billion, meaning the consortium is supporting the build-out of 10 GW of AI compute on the high end.
It remains to be seen whether the memorandums of understanding will translate into real deals and how the money will be raised. But in the CNBC interview, the group of financial partners signaled ample demand in both public and private markets.
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The securitization of AI computing At first glance, $500 billion in AI capital investment appears to be a massive win for Nvidia. The GPU leader won't bear the credit risk of the investment; the financial institutions will. The plan is to securitize AI infrastructure assets, much like how pools of mortgage loans are securitized into mortgage-backed securities. Since the assets all fall under Nvidia's ecosystem, the company's track record and brand power reinforce the credibility of the loans.
The deal essentially places AI infrastructure in the same category as other critical assets, such as electrical transmission lines, bridges, and roads. Financial institutions will raise the capital to turn Nvidia's compute and full-stack AI infrastructure into an investable asset class, owned by public and private investors. Then, that compute can be sold to AI labs, AI start-ups, AI clouds, and other enterprises that need compute.
Of course, selling that compute means little if the customers' cash flows dry up. But Nvidia is confident in the profitability pathway for its existing and potential customers. Jensen Huang said the following in the Aug. 10 interview with CNBC:
I believe within months you're going to realize that these companies are extremely profitable. These are the fastest-growing technology companies in history, and the tokens they're generating are incredibly profitable.
Tokens are basic units of text and data that AI models process. Nvidia prides itself on producing hardware that processes tokens as quickly and cost-effectively as possible. Huang stressed that every company and industry will be impacted by the digitalization of intelligence through AI and that the system architecture of the AI compute deal is flexible. Meaning that if one customer needed to scale back their commitments, it would be easy for a new customer to step in -- regardless of the model -- and use that compute in a similar vein as electricity on the grid that can be used interchangeably.
The fungibility of Nvidia's AI compute is arguably the strongest competitive advantage of the deal.
"There will always be a customer for that computing platform," said Huang during the Aug. 10 CNBC interview. "And the reason for that is because, as you know, Nvidia's architecture is fairly universally adopted. It runs every AI model."
Nvidia has plenty of room to run Some investors may view the $500 billion AI financing news as a red flag because it resembles the kind of financial engineering that transformed a housing slowdown into a nationwide financial crisis in 2008. If public and private investors own securities tied to Nvidia AI infrastructure and demand for that infrastructure craters, those securities would lose value -- amplifying the impact of an AI slowdown.
There are plenty of unanswered questions around the structure of the financing deal. But I think the idea is absolutely brilliant for Nvidia.
If you've tuned in to Nvidia's major conferences (like GTC) or its recent earnings calls, you may have noticed an ongoing theme: Nvidia wants to expand beyond one-time hardware sales.
Nvidia is evolving into a product and service ecosystem rather than just a chip business. Its latest Vera Rubin rack-scale high-performance computing platform features GPUs, central processing units, and associated networking and interconnects. Its CUDA software stack is co-designed to work with Vera Rubin. The $500 billion deal helps solidify Nvidia as the most commonly used ecosystem for AI compute customers, which will depend on it to process tokens in the age of AI infrastructure. Token demand will increase in lockstep with the use of generative AI, AI agents, and physical AI (like self-driving cars and robotics) -- in turn benefiting Nvidia through an inferencing-as-a-service revenue stream.
The biggest risk to Nvidia's investment case is how it would endure a slowdown in spending on data center computing. And the best way to address that risk is for Nvidia to get more and more customers involved in its ecosystem, so they depend on its services and upgrade to its latest hardware when the cycle calls for it. It's basically the enterprise-scale version of what Apple does with its consumer electronics products and associated services -- like iCloud, Apple TV, and Apple Music.
Trading now at just 34.5 times earnings and 25.1 times forward earnings, Nvidia remains one of the best AI stocks for long-term investors to buy as the company continues to diversify its revenue streams beyond hyperscale hardware spending.
Akcie NVDA v úterý ráno klesly asi o 2 %, protože vyšší výnosy amerických státních dluhopisů tlačily na čipy i širší trh. BofA přesto drží doporučení na Buy a cíl 350 USD.
Buy NVDA. The selloff is driven by higher Treasury yields and a broad chip pullback, not a break in Nvidia’s AI demand. BofA’s view is that Nvidia’s frontier-AI commitments (supply, land, power, infrastructure) and GPU rental/compute scarcity keep growth durable, and the valuation gap vs its own FCF multiples supports buying weakness ahead of Aug 26.
Key Risk: AI capex slows faster than Nvidia’s commitments can be monetized, cutting rental rates and free-cash-flow growth.
Semis basket buy (memory/CPU laggards)
Buy the iShares Semiconductor ETF (SOXX) or VanEck Semiconductor ETF (SMH) selectively, using the broad weakness (WDC, Sandisk, Marvell, Seagate down 6–7%) as entry. If yields stabilize, the market’s “risk-off” move should mean-revert across semis, and Nvidia’s rebound narrative can pull the whole group higher.
Key Risk: Yields keep rising and the macro hit spreads into a sustained earnings downgrade cycle for semis.
Nvidia shares NVDA fell around 2% in early Tuesday trading as higher Treasury yields pressured semiconductor stocks and weighed on the broader market.
The decline came alongside a wider pullback across chip stocks.
Western Digital fell almost 7%, while Sandisk dropped more than 6%. Marvell Technology and Seagate Technology also fell more than 6%.
The S&P 500 declined 0.5%, while the Nasdaq Composite fell 1.1%. The Dow Jones Industrial Average was down 191 points, or 0.4%.
The 30-year Treasury yield climbed more than 1 basis point to 5.323%, after reaching its highest level since June 2007 on Monday.
Yields have risen as investors remain concerned about persistent inflation and elevated oil prices.
US crude rose on Monday and gained another 0.9% Tuesday to trade above $85 a barrel as negotiations between the US and Iran stalled.
Nvidia's Tuesday decline comes after a strong rebound in recent weeks.
Shares closed around $225 on Monday for a second consecutive session, a level not seen since mid-May.
The stock's recent advance has pushed its year-to-date gain above 16%, compared with gains of about 15% for the Nasdaq Composite and 13% for the S&P 500.
From the recent market bottom on July 29, Nvidia shares have gained about 15%, compared with a 1.5% advance for the iShares Semiconductor ETF and an almost 2% gain for the VanEck Semiconductor ETF.
Nvidia had trailed those semiconductor baskets for much of the year as investors shifted toward memory and CPU stocks and renewed questions emerged over the sustainability of the company's growth.
The recent rebound has coincided with a broader recovery in the AI infrastructure trade.
Nvidia's increased financial support for key customers is also looking less risky than initially feared, while a new financing initiative could make funding the broader AI buildout more attainable.
New details on revenue growth at OpenAI and Anthropic, both major Nvidia chip customers, have also supported expectations that the companies can continue spending on compute.
Nvidia is scheduled to report its fiscal 2027 second-quarter results on August 26.
BofA maintains bullish view on Nvidia stockBofA Securities reiterated its Buy rating and $350 price target on Nvidia following the company's $105 billion in commitments related to OpenAI.
BofA said after discussions with Nvidia senior management that the chipmaker remains committed to securing chip supply, land, power and infrastructure for frontier AI labs and so-called neo-clouds.
According to BofA, the strategy is intended to diversify Nvidia's customer base beyond public hyperscalers that are increasingly developing their own custom chips.
BofA cited solid GPU rental rates, compute scarcity and Nvidia's free cash flow generation as factors supporting the company's commitments.
The firm also highlighted risks if AI demand slows, which could pressure Nvidia's growth rate and balance sheet.
BofA expects Nvidia to provide more disclosure around its off-balance-sheet commitments when it reports earnings on August 26.
BofA said Nvidia trades at 18 times and 15 times calendar 2027 and 2028 enterprise value to free cash flow, respectively, compared with its blended valuation multiples of 36 times and 22.5 times.
The firm views that valuation gap as a compelling opportunity while maintaining its $350 price target.
Nvidia chce, aby zákazníci kupovali nové AI systémy, ale zároveň dál využívali starší hardware, který podle firmy zůstává produktivní a ekonomicky hodnotný. Hlavní roli v tom má software CUDA.
For years, NVIDIA Corp‘s (NASDAQ:NVDA) AI playbook was simple: build a faster GPU, convince customers to upgrade and repeat.
Now, the chipmaker is advancing a more nuanced message — that customers should embrace its newest AI systems while recognizing that older Nvidia hardware can remain productive, profitable and economically valuable for years.
• NVIDIA shares are under pressure. What’s driving NVDA stock lower?
Nvidia Is Rewriting the AI Upgrade CycleThe shift comes as Nvidia pushes its next-generation Vera Rubin systems while simultaneously making the case that previous generations still have a long runway.
CEO Jensen Huang recently wrote on X:
“The mighty A100 fleet are mission-capable from 2020 through 2029. NVIDIA computing is more than chips. CUDA gives developers and NVIDIA engineers a common platform to continually upgrade Ampere, Hopper and Blackwell throughout their useful lives.”
He continued:
“CUDA makes NVIDIA computing versatile. Versatility makes it fungible. Fungibility drives utilization and extends durability, making NVIDIA compute a productive asset: rentable, durable and financeable.”
That messaging marks a subtle but important evolution. Nvidia is no longer selling only the performance gains of its newest GPUs — it is increasingly emphasizing the long-term economic value of its installed base.
Why Older Nvidia Chips Suddenly Matter MoreThe broader strategy was highlighted in a recent report by The Information, which noted that Nvidia is trying to accomplish two seemingly conflicting goals: persuade customers to buy its latest AI chips while assuring them that older hardware will continue holding value for years.
At first glance, those objectives appear difficult to reconcile. Faster release cycles encourage more frequent upgrades, while longer useful lives could reduce the urgency to replace existing systems.
But the tension makes more sense in today’s AI market.
Demand for AI computing infrastructure continues to outstrip supply, meaning customers often value access to GPUs — whether they’re the latest Blackwell systems or older Ampere-based hardware. As AI adoption expands beyond hyperscalers and frontier model developers, more cost-conscious enterprises may also find older GPUs sufficient for many inference and production workloads.
That’s an inference based on Nvidia’s messaging and industry dynamics. Nvidia itself has focused on the versatility of its software platform and the durability of its hardware rather than suggesting customers should delay upgrades.
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CUDA Is Becoming Nvidia’s Competitive AdvantageThe common thread across Nvidia’s messaging isn’t the chip itself — it’s CUDA (compute unified device architecture).
Huang argues that software continuously improves the performance and efficiency of deployed hardware, allowing AI infrastructure to become more valuable over time rather than steadily depreciating.
In a recent essay, he wrote that AI factories possess the characteristics of an investable infrastructure asset because they “produce revenue, serve a broad market, improve in performance over time and can be redeployed.”
That represents a meaningful shift in how Nvidia is positioning its business. Instead of framing GPUs as rapidly aging technology, the company is increasingly describing AI compute as long-lived infrastructure capable of generating returns throughout its useful life.
What Nvidia Investors Should Watch NextNvidia’s messaging doesn’t signal an end to annual product cycles or demand for its latest AI systems. Large cloud providers and frontier AI labs are still expected to pursue the company’s most advanced hardware as performance remains a competitive advantage.
The bigger question is whether Nvidia can successfully convince a broader enterprise market that older GPUs still have economic value while continuing to persuade its largest customers to upgrade every generation.
If it can, Nvidia may have found a way to expand AI adoption without undermining the premium pricing of its newest chips.
Read Next
Image via Shutterstock
This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
First Heartland Consultants Inc. trimmed its holdings in shares of NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 4.1% during the second quarter, according to its most recent 13F filing with the Securities and Exchange Commission (SEC). The firm owned 70,254 shares of the computer hardware maker’s stock after selling 3,032 shares during the period. NVIDIA comprises approximately 0.9% of First Heartland Consultants Inc.’s investment portfolio, making the stock its 25th largest holding. First Heartland Consultants Inc.’s holdings in NVIDIA were worth $14,057,000 as of its most recent SEC filing.
A number of other hedge funds and other institutional investors also recently made changes to their positions in the stock. Lifetime Wealth Management P.C. bought a new position in shares of NVIDIA during the 4th quarter valued at approximately $26,000. Longview Financial Advisors Inc. purchased a new stake in shares of NVIDIA during the 1st quarter worth approximately $27,000. Longfellow Investment Management Co. LLC raised 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 worth $33,000 after purchasing an additional 67 shares during the period. Phillip James Consulting Co. purchased a new position in NVIDIA in the first quarter valued at approximately $40,000. Finally, Spurstone Advisory Services LLC bought a new position in NVIDIA during the second quarter valued at $40,000. 65.27% of the stock is owned by hedge funds and other institutional investors.
Analyst Upgrades and Downgrades NVDA has been the subject of several recent research reports. Robert W. Baird set a $500.00 price objective on NVIDIA and gave the stock an “outperform” rating in a report on Thursday, May 21st. 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 research report on Thursday, May 21st. Wells Fargo & Company restated an “overweight” rating and set a $315.00 price target on shares of NVIDIA in a research note on Tuesday, August 11th. Bank of America reaffirmed a “buy” rating and issued a $350.00 price objective (up from $320.00) on shares of NVIDIA in a report on Thursday, May 21st. Finally, KeyCorp reissued an “overweight” rating and set a $330.00 target price (up from $310.00) on shares of NVIDIA in a report on Tuesday, July 14th. Three 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 company. According to MarketBeat, the company presently has a consensus rating of “Buy” and a consensus price target of $305.94.
View Our Latest Report on NVIDIA Trending Headlines about NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA will provide up to $105 billion in financing and credit support for an OpenAI data center campus in Ohio. SB Energy will build and operate the site, while OpenAI has signed a 20-year lease. The project is expected to support approximately 8 gigawatts of NVIDIA-powered computing capacity, creating a potentially significant source of future GPU, networking and systems demand. Nvidia backs financing for OpenAI data center in Ohio Positive Sentiment: NVIDIA is also investing $1.5 billion in SB Energy and will be the exclusive AI-compute provider for the Ohio campus. The arrangement strengthens NVIDIA’s role in developing the power, land and data-center infrastructure needed to sell complete AI systems, rather than chips alone. Nvidia investing $1.5B in SoftBank data center developer Positive Sentiment: Wall Street executives continue to describe AI infrastructure as constrained by power and computing capacity—not capital. BlackRock’s Larry Fink estimates the U.S. alone may need more than 70 gigawatts of power for AI, reinforcing the long-term demand outlook for NVIDIA’s platforms. BlackRock’s Larry Fink discusses AI power demand Positive Sentiment: NVIDIA’s Spectrum-X co-packaged-optics switches have entered mass production, adding another potential growth driver as data-center operators expand high-speed networking capacity. Analysts also expect strong results at the company’s August 26 earnings report. Nvidia Spectrum-X switches enter mass production Neutral Sentiment: The financing strategy is attracting substantial institutional support, but individual fund managers remain divided: some increased NVIDIA positions while others sold shares or bought puts. This signals continued disagreement over how much future AI growth is already reflected in the valuation. Billionaires’ differing NVIDIA trades Negative Sentiment: Investors are questioning the risk of NVIDIA financing data centers that are expected to purchase NVIDIA equipment. Critics characterize this as a circular financing structure that could increase credit exposure and make reported AI demand harder to evaluate. The stock’s elevated valuation leaves less room for execution disappointments. NVIDIA’s circular financing structure NVIDIA Trading Down 0.1% Shares of NVDA opened at $225.01 on Tuesday. The firm’s 50 day simple moving average is $206.47 and its 200 day simple moving average is $198.85. 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 company has a market capitalization of $5.45 trillion, a P/E ratio of 34.46, a P/E/G ratio of 0.44 and a beta of 2.23. 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 posted 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 net margin of 62.97% and a return on equity of 96.94%. The company had revenue of $81.61 billion during the quarter, compared to the consensus estimate of $78.42 billion. During the same period in the previous year, the firm posted $0.81 EPS. The firm’s revenue was up 85.2% compared to the same quarter last year. Sell-side analysts forecast that NVIDIA Corporation will post 8.79 earnings per share for the current fiscal year.
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 given a dividend of $0.25 per share. 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 0.4%. NVIDIA’s dividend payout ratio (DPR) is 15.31%.
NVIDIA declared that its board has approved a stock buyback program on Wednesday, May 20th that authorizes the company to repurchase $80.00 billion in outstanding shares. This repurchase authorization authorizes the computer hardware maker to buy up to 1.5% of its stock through open market purchases. Stock repurchase programs are typically an indication that the company’s management believes its shares are undervalued.
Insider Buying and Selling at NVIDIA In related news, Director Stephen C. Neal sold 15,500 shares of the stock in a transaction 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 transaction, the director 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 transaction was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through this link. Also, Director Mark A. Stevens sold 885,000 shares of NVIDIA stock in a transaction on Thursday, June 18th. The stock was sold at an average price of $210.17, for a total transaction of $186,000,450.00. Following the completion of the transaction, the director 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 worth $410,583,015 over the last ninety days. Insiders own 3.94% of the company’s stock.
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.
Featured Articles Five stocks we like better than NVIDIA Commodities Are Booming, But These 3 ETFs Tell Different Stories 3 Active ETFs Making Big Moves in August This ETF Is Outperforming by Avoiding the S&P 500’s Biggest Problem Birkenstock Beats the Skeptics—But Not on EPS 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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Nvidia čeká na výsledky za 2. fiskální čtvrtletí fiskálního roku 2027; klíčová bude hrubá marže kolem 75 %. Poptávka po AI dál podporuje víceleté zakázky a odolnost tržeb.
SummaryNvidia Corporation remains a Strong Buy as demand shifts from intentions to signed obligations, with $91B July quarter revenue and 75% gross margin guidance.Hyperscaler and sovereign AI demand drive robust, multi-year committed backlogs, reducing reliance on the top four customers and supporting revenue durability.Rubin chip shipments begin Q3 2026, pulling forward revenue and mitigating typical product transition risks due to persistent supply constraints.Margin stability is pivotal; holding mid-70s gross margins amid rising input costs and flat operating leverage underpins the near-term bull case. wellesenterprises/iStock Editorial via Getty Images
Nvidia Corporation (NVDA) is set to report second-quarter fiscal 2027 earnings release on August 26, and judging by the noise around it, a good number of us are expecting it to deliver some kind
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NVIDIA zajistí v areálu PORTS-Pike v Ohiu exkluzivní AI výpočetní kapacitu pro OpenAI a do SB Energy investuje 1,5 miliardy USD. Počáteční kapacita má činit 4,25 IT-GW.
NVIDIA will be the exclusive AI compute infrastructure provider at PORTS-Pike.NVIDIA to provide credit support on land, power, and shell buildout to secure initial 4.25 IT-GW, with an option to take the remaining 3.75 IT-GWOpenAI will be the customer for 8-IT GWPORTS-Pike campus project will create tens of thousands of Ohio jobs, pay for its power infrastructure, and invest hundreds of millions in the community anchored by an initial $80 million community benefits fund. NVIDIA to invest $1.5B in SB Energy now to support SB Energy’s growth and commitments to the Ohio community. SANTA CLARA, Calif. and REDWOOD CITY, Calif., Aug. 17, 2026 (GLOBE NEWSWIRE) -- NVIDIA announced that it has secured land, power and shell (LPS) capacity through a partnership with SB Energy at the PORTS-Pike Technology Campus in Pike County, Ohio, to host NVIDIA compute. OpenAI will be the customer. SB Energy will build, own and operate the data center under a 20-year lease to OpenAI.
Demand for AI is growing at an extraordinary pace. AI is becoming infrastructure, requiring a full stack of critical resources, including LPS. To meet this moment, NVIDIA is securing the LPS capacity at PORTS-Pike to exclusively host NVIDIA AI factories. This unique campus development will lay the foundation for tomorrow’s breakthroughs, enabling communities to drive scientific discovery, health care advances and regional economic development.
OpenAI will utilize the capacity at the site. The AI factory will use NVIDIA’s full-stack DSX AI factory platform, including GPUs, CPUs and networking. The initial deployment is designed to support 4.25 IT-GW of AI factory capacity. NVIDIA has the option to extend the opportunity at PORTS-Pike beyond the initial capacity. The DSX AI factory architecture used at PORTS-Pike will deliver resiliency across the full stack – facilities, hardware, and software together – reducing infrastructure overhead and accelerating time to tokens for the next generation of AI factories.
“AI is becoming infrastructure – the foundation for intelligence in every industry – and land, power and shell have become vital in the age of AI. Now is the time to scale the AI infrastructure that will power the next industrial revolution,” said Jensen Huang, founder and CEO of NVIDIA. “We are securing long-lived infrastructure for NVIDIA compute so OpenAI can deploy the most productive AI factories that can be upgraded repeatedly with each new generation delivering more intelligence and better economics.”
“Infrastructure is vital for the AI economy. With SoftBank Group, OpenAI and NVIDIA, SB Energy is building power-first infrastructure at unprecedented scale while strengthening the communities that make it possible – protecting ratepayers, creating tens of thousands of well-paying jobs, and investing in infrastructure to revitalize Southern Ohio that has long shaped America’s future,” said Rich Hossfeld, co-CEO of SB Energy.
“This is going to be a huge site, with enough computing power to help millions of people use AI to do things we can only start to imagine today, from finding new medicines to starting businesses and solving hard problems,” said Sam Altman, CEO of OpenAI. “We’re proud to build it in Pike County, a place that is once again at the heart of American industry and leading the future. We want the people who live here to feel the benefits too, through good jobs, more opportunity for local businesses, and investment in the community for years to come.”
“The next era of intelligence will transform every industry — and require infrastructure built at unprecedented speed and scale. Together with our partners, SoftBank will help unlock the power of AGI and move humanity forward,” said Masayoshi Son, Chairman and CEO of SoftBank Group Corp.
Campus to Bring New Jobs and Benefits to Ohio
SB Energy’s PORTS-Pike Technology Campus is reindustrializing the decommissioned Portsmouth Gaseous Diffusion Plant and the surrounding area, bringing a new generation of jobs to Appalachian Ohio, while creating an opportunity for the region to play an important role in the next era of American industry. Spanning private and federal land, the campus is being developed in collaboration with AEP Ohio, the U.S. Department of Energy, and the U.S. Department of Commerce. The planned capacity is expected to come online in phases beginning in 2028.
In support of the surrounding Ohio community, SB Energy and SoftBank will build at least 10 GW of new energy generation, which results in 8 IT-GW of AI factory capacity, and invest at least $4.2 billion in new regional grid infrastructure through an innovative partnership with AEP Ohio designed to protect ratepayers. OpenAI has agreed to build on SB Energy’s originally announced $40 million community benefits fund with an incremental $40 million designed to support local priorities, including affordable energy, job creation and workforce development, and community and economic development.
NVIDIA Invests in SB Energy
NVIDIA will invest $1.5 billion in SB Energy, joining existing investors SoftBank Group and OpenAI. The investment supports SB Energy’s continued evolution into a leading AI infrastructure developer, while supporting Pike County and other local communities, with the vast opportunity ahead to deliver compute infrastructure at speed and scale.
This press release shall not constitute an offer to sell or a solicitation of an offer to buy any securities, nor shall there be any sale of any securities in any state or other jurisdiction in which such offer, solicitation or sale would be unlawful prior to the registration or qualification under the securities laws of any such state or other jurisdiction.
Advisors
Goldman Sachs and JP Morgan served as financial advisors for SB Energy. Morgan Stanley served as NVIDIA’s financial advisor.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
About SB Energy
SB Energy is a leading integrated data center and power infrastructure company purpose-built for the AI economy. The company develops, constructs, and operates gigawatt-scale data center campuses and utility-scale power generation assets. Through its vertically integrated, power-first model, SB Energy addresses the industry's primary bottleneck and accelerates speed-to-compute, with a focus on community, reliability, and cost discipline. For more information, visit www.sbenergy.com.
About OpenAI
OpenAI is making powerful AI accessible, useful and abundant for people and businesses everywhere to build, solve problems and expand what they’re able to do.
NVIDIA Forward-Looking Statements
Certain statements in this press release including, but not limited to, statements as to: AI becoming infrastructure and AI infrastructure powering the next industrial revolution; NVIDIA’s partnership with SB Energy and the expected benefits and impacts of the partnership; NVIDIA’s investment in SB Energy; the development, timing, scale, capacity and operation of the PORTS-Pike campus; the exclusive hosting of NVIDIA systems at the PORTS-Pike campus; OpenAI’s expected customer role and DSX deployment at PORTS-Pike; the potential expansion of the PORTS-Pike campus and related commitments and the expected economic and community impacts of the campus; NVIDIA’s credit support; expectations with respect to demand for AI; expectations with respect to 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; 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.
Clark Asset Management LLC decreased its holdings in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 7.7% during the 2nd quarter, according to the company in its most recent disclosure with the SEC. The institutional investor owned 42,313 shares of the computer hardware maker’s stock after selling 3,536 shares during the quarter. NVIDIA makes up 0.7% of Clark Asset Management LLC’s portfolio, making the stock its 26th biggest position. Clark Asset Management LLC’s holdings in NVIDIA were worth $8,466,000 as of its most recent SEC filing.
A number of other hedge funds have also recently bought and sold shares of the business. Norges Bank acquired a new stake in shares of NVIDIA during the fourth quarter worth approximately $62,244,133,000. J. Stern & Co. LLP raised 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 valued at $23,454,297,000 after acquiring an additional 124,849,603 shares in the last quarter. Cardano Risk Management B.V. boosted its stake in NVIDIA by 896.4% during 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 acquiring an additional 70,283,539 shares during the last quarter. Capital Research Global Investors boosted its stake in NVIDIA by 16.1% during the 3rd 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 during the last quarter. Finally, Laurel Wealth Advisors LLC grew its holdings 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 worth $3,454,534,000 after acquiring an additional 21,725,326 shares in the last quarter. Institutional investors and hedge funds own 65.27% of the company’s stock.
NVIDIA Price Performance Shares of NVIDIA stock opened at $225.16 on Monday. 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 business’s 50 day simple moving average is $206.14 and its 200-day simple moving average is $198.60. The stock has a market capitalization of $5.45 trillion, a price-to-earnings ratio of 34.48, a PEG ratio of 0.44 and a beta of 2.23. NVIDIA Corporation has a twelve month low of $164.07 and a twelve month high of $236.54.
NVIDIA (NASDAQ:NVDA – Get Free Report) last released its quarterly earnings data 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 business had revenue of $81.61 billion during the quarter, compared to analyst estimates of $78.42 billion. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.The business’s revenue for the quarter was up 85.2% compared to the same quarter last year. During the same quarter in the previous year, the firm posted $0.81 EPS. Equities research analysts forecast that NVIDIA Corporation will post 8.79 earnings per share for the current year.
NVIDIA Increases Dividend The company also recently declared 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 represents a $1.00 annualized dividend and a dividend yield of 0.4%. 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. NVIDIA’s dividend payout ratio is presently 15.31%.
NVIDIA announced that its board has authorized a share buyback plan 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 shares through open market purchases. Shares buyback plans are usually an indication that the company’s management believes its stock is undervalued.
Key Stories Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: UBS expects another major earnings beat. The firm reiterated a Buy rating and $280 price target, forecasting that NVIDIA could exceed its fiscal second-quarter revenue outlook of $91 billion by several billion dollars as GB300 demand ramps ahead of the Vera Rubin platform. UBS earnings outlook Positive Sentiment: A proposed $500 billion financing initiative could expand customers’ purchasing capacity. Apollo, BlackRock, Brookfield, Goldman Sachs and other financial firms are discussing capital pools and securitized loans for AI data centers. The structure could support continued GPU deployments and create a secondary market for older NVIDIA systems. NVIDIA GPU financing deal Positive Sentiment: Demand catalysts continue to broaden. NVIDIA is promoting open-source AI tools, expanding into robotics and physical AI, partnering with former rival Groq, and deepening its networking and infrastructure business. A $2 billion investment in Marvell also highlights efforts to strengthen the broader AI supply chain. NVIDIA open-source AI strategy Neutral Sentiment: Market volatility appears driven more by liquidity than fundamentals. Asian market circuit breakers and currency-related selling pressured semiconductor shares, but the underlying hyperscaler data-center buildout and long-term AI infrastructure commitments remain intact. Asian market volatility and AI demand Negative Sentiment: Expectations and valuation leave little room for disappointment. Analysts note that NVIDIA’s strong pre-earnings performance has set a high bar, while critics—including Michael Burry—warn that AI financing may become circular if customers rely heavily on borrowed capital. Concerns also include power, labor and chip-supply bottlenecks, as well as the risk that Chinese developers optimize models for Huawei hardware instead of U.S. GPUs. AI infrastructure bottlenecks Analysts Set New Price Targets Several equities research analysts have recently weighed in on NVDA shares. Stifel Nicolaus set a $282.00 target price on shares of NVIDIA and gave the stock a “buy” rating in a research report on Thursday, May 21st. Mizuho set a $300.00 price target on NVIDIA in a research note on Thursday, May 21st. Robert W. Baird set a $500.00 price target on NVIDIA and gave the stock an “outperform” rating in a research note on Thursday, May 21st. Susquehanna restated a “positive” rating and set a $275.00 price objective (up from $250.00) on shares of NVIDIA in a research note on Tuesday, May 12th. Finally, DZ Bank reaffirmed a “buy” rating on shares of NVIDIA in a report on Thursday, May 21st. Three investment analysts have rated the stock with a Strong Buy rating, forty-eight have given a Buy rating and two have given a Hold rating to the stock. According to MarketBeat.com, NVIDIA presently has a consensus rating of “Buy” and a consensus price target of $305.94.
Read Our Latest Report on NVDA
Insider Activity In other news, Director Mark A. Stevens sold 885,000 shares of the company’s stock in a transaction dated 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 completion of the transaction, the director 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 transaction was disclosed in a legal filing with the Securities & Exchange Commission, which is accessible through the SEC website. 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 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 position. The SEC filing for this sale provides additional information. Over the last quarter, insiders sold 1,901,125 shares of company stock valued at $410,583,015. 3.94% of the stock is currently owned by company insiders.
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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UBS čeká, že Nvidia ve druhém čtvrtletí vykáže výnosy 94 až 95 miliard USD a ve třetím čtvrtletí mohou dosáhnout 107 až 108 miliard USD. Klíčem má být silná poptávka po Blackwellu a první příspěvek systémů Vera Rubin.
Nvidia heads into its August 26 earnings report with Wall Street already expecting another beat, but UBS believes the more important test may come one quarter later.
The chipmaker reported record fiscal first-quarter revenue of $81.6 billion, including $75.2 billion from Data Center, and guided to roughly $91 billion for the July quarter.
UBS analyst Timothy Arcuri now expects Nvidia to deliver $94 billion to $95 billion, before guiding to $107 billion to $108 billion for the October quarter.
More strikingly, Arcuri believes actual third-quarter revenue could exceed $110 billion as Blackwell demand remains firm and the first Rubin systems begin contributing.
Another quarterly beat would hardly surprise investors after Nvidia repeatedly outpaced expectations during the AI infrastructure boom.
What could matter more is the speed of the next step up.
According to TipRanks, Arcuri expects Blackwell demand to remain steady while Rubin begins contributing ahead of a larger acceleration later in the year.
UBS has raised its calendar 2027 revenue forecast to $681 billion from $649 billion and lifted its GPU shipment estimate to about 10.8 million units from 9.2 million.
A quarter above $110 billion would therefore do more than mark another record.
It would suggest Nvidia can move between major architectures without the revenue pause investors sometimes fear during product transitions.
Bank of America sees a similar setup.
BofA analyst Vivek Arya expects Nvidia to report $94 billion to $95 billion of second-quarter revenue and guide to $107 billion to $108 billion for the third quarter.
He believes Vera Rubin shipments, new Vera CPU products and continued cloud spending could trigger a “multi-quarter upgrade cycle.”
The economics of the new systems could be equally important.
BofA estimates Vera Rubin NVL racks could cost roughly $7 million to $8.5 million, compared with around $4 million for Blackwell Ultra.
That higher system value could help Nvidia absorb rising memory costs while protecting profitability.
BofA expects long-term gross margins around 73% to 74%, even after accounting for higher memory costs.
That means Rubin does not need explosive unit growth alone to expand Nvidia’s revenue opportunity. Higher-value systems can also push sales higher.
Also read- Nvidia, Alphabet, Harvard disclose SpaceX stakes: here’s what they’re worth
The larger question is whether the AI spending machine supporting those forecasts remains credible.
Nvidia recently announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish independent compute-financing platforms designed to mobilise more than $500 billion of third-party capital for AI infrastructure.
Morgan Stanley analyst Joseph Moore said the structure “should arguably alleviate circularity concerns,” according to MarketWatch, because sophisticated outside investors would provide most of the capital.
Bank of America’s Arya called the arrangement a “structurally bullish setup,” arguing that it strengthens Nvidia’s CUDA ecosystem while shifting much of the financing burden away from Nvidia.
There is still a catch. Moore described Nvidia’s financial backstops for some neocloud and sovereign-AI customers as “the next big debate for the stock.”
That debate matters because Nvidia’s revenue forecasts ultimately depend on customers continuing to fund enormous infrastructure programmes and earning acceptable returns on them.
The August 26 report is therefore about more than whether Nvidia beats its $91 billion outlook.
Balefire LLC trimmed its holdings in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 4.0% during the second quarter, according to the company in its most recent filing with the Securities and Exchange Commission. The fund owned 65,016 shares of the computer hardware maker’s stock after selling 2,710 shares during the period. NVIDIA accounts for approximately 2.1% of Balefire LLC’s holdings, making the stock its 3rd largest holding. Balefire LLC’s holdings in NVIDIA were worth $13,009,000 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. Norges Bank purchased a new position in NVIDIA during the fourth quarter worth approximately $62,244,133,000. J. Stern & Co. LLP grew its stake in shares of NVIDIA by 13,709.1% during the 4th quarter. J. Stern & Co. LLP now owns 125,760,307 shares of the computer hardware maker’s stock valued at $23,454,297,000 after buying an additional 124,849,603 shares during the period. Cardano Risk Management B.V. grew its stake in shares of NVIDIA by 896.4% during 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 3rd quarter. Capital Research Global Investors now owns 165,377,852 shares of the computer hardware maker’s stock worth $30,855,564,000 after buying an additional 22,896,705 shares during the last quarter. Finally, Laurel Wealth Advisors LLC raised its position in shares of NVIDIA by 15,496.1% in the 2nd quarter. Laurel Wealth Advisors LLC now owns 21,865,525 shares of the computer hardware maker’s stock worth $3,454,534,000 after buying an additional 21,725,326 shares during the period. Hedge funds and other institutional investors own 65.27% of the company’s stock.
Analyst Upgrades and Downgrades
A number of research analysts recently weighed in on NVDA shares. Barclays reiterated an “overweight” rating on shares of NVIDIA in a report on Thursday, May 21st. Raymond James Financial restated a “strong-buy” rating and issued a $330.00 price objective on shares of NVIDIA in a report on Thursday, May 21st. Deutsche Bank Aktiengesellschaft reaffirmed a “hold” rating and issued a $255.00 price objective (up from $220.00) on shares of NVIDIA in a research note on Thursday, May 21st. Rosenblatt Securities reiterated a “buy” rating and set a $325.00 target price on shares of NVIDIA in a report on Thursday, May 21st. Finally, CICC Research increased their target price on shares of NVIDIA from $240.60 to $268.30 and gave the stock an “outperform” rating in a research report on Friday, May 22nd. Three investment 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. Based on data from MarketBeat.com, NVIDIA presently has a consensus rating of “Buy” and a consensus price target of $305.94.
View Our Latest Report on NVDA
Insider Activity
In other news, Director John Dabiri sold 625 shares of the company’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 completion of the transaction, the director directly 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 document filed with the Securities & Exchange Commission, which can be accessed 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 firm’s stock in a transaction 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 sale, the director directly owned 116,135 shares of the company’s stock, valued at approximately $25,053,803.55. The trade was a 11.77% decrease in their ownership of the stock. The disclosure for this sale is available in the SEC filing. Over the last three months, insiders sold 1,901,125 shares of company stock worth $410,583,015. 3.94% of the stock is currently owned by company insiders.
NVIDIA Price Performance
Shares of NASDAQ NVDA opened at $225.16 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. NVIDIA Corporation has a 1-year low of $164.07 and a 1-year high of $236.54. The company has a market capitalization of $5.45 trillion, a price-to-earnings ratio of 34.48, a PEG ratio of 0.44 and a beta of 2.23. The business has a 50-day moving average of $206.14 and a 200-day moving average of $198.51.
NVIDIA (NASDAQ:NVDA – Get Free Report) last announced 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 business had revenue of $81.61 billion for the quarter, compared to the consensus estimate of $78.42 billion. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.The company’s revenue was up 85.2% on a year-over-year basis. During the same period last year, the business posted $0.81 EPS. On average, equities analysts anticipate that NVIDIA Corporation will post 8.79 EPS for the current fiscal year.
NVIDIA Increases Dividend
The company also recently announced a quarterly dividend, which was paid on Friday, June 26th. Stockholders of record on Thursday, June 4th were given a dividend of $0.25 per share. 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 dividend yield of 0.4%. NVIDIA’s dividend payout ratio is presently 15.31%.
NVIDIA declared that its board has approved a stock buyback program on Wednesday, May 20th that allows the company to repurchase $80.00 billion in outstanding shares. This repurchase authorization allows the computer hardware maker to reacquire up to 1.5% of its stock through open market purchases. Stock repurchase programs are typically an indication that the company’s board believes its stock is undervalued.
Key Headlines Impacting NVIDIA
Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: UBS expects another major earnings beat. The firm reiterated a Buy rating and $280 price target, forecasting that NVIDIA could exceed its fiscal second-quarter revenue outlook of $91 billion by several billion dollars as GB300 demand ramps ahead of the Vera Rubin platform. UBS earnings outlook
Positive Sentiment: A proposed $500 billion financing initiative could expand customers’ purchasing capacity. Apollo, BlackRock, Brookfield, Goldman Sachs and other financial firms are discussing capital pools and securitized loans for AI data centers. The structure could support continued GPU deployments and create a secondary market for older NVIDIA systems. NVIDIA GPU financing deal
Positive Sentiment: Demand catalysts continue to broaden. NVIDIA is promoting open-source AI tools, expanding into robotics and physical AI, partnering with former rival Groq, and deepening its networking and infrastructure business. A $2 billion investment in Marvell also highlights efforts to strengthen the broader AI supply chain. NVIDIA open-source AI strategy
Neutral Sentiment: Market volatility appears driven more by liquidity than fundamentals. Asian market circuit breakers and currency-related selling pressured semiconductor shares, but the underlying hyperscaler data-center buildout and long-term AI infrastructure commitments remain intact. Asian market volatility and AI demand
Negative Sentiment: Expectations and valuation leave little room for disappointment. Analysts note that NVIDIA’s strong pre-earnings performance has set a high bar, while critics—including Michael Burry—warn that AI financing may become circular if customers rely heavily on borrowed capital. Concerns also include power, labor and chip-supply bottlenecks, as well as the risk that Chinese developers optimize models for Huawei hardware instead of U.S. GPUs. AI infrastructure bottlenecks
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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Nvidia 26. srpna oznámí hospodářské výsledky za 2. čtvrtletí fiskálního roku 2027, ale trh už čeká silná čísla po nedávném růstu akcií o téměř 19 % od 29. července.
On Aug. 26, the otherwise extremely fast-paced Wall Street will slow down and pay close attention as Nvidia (NVDA -0.06%) reports its financial results for the second quarter of its fiscal year 2027, which ended on July 26 (Nvidia's fiscal years do not match calendar years). Since the company is at the very center of the artificial intelligence (AI) infrastructure build-out, thanks to its dominance in the GPU (Graphics Processing Unit) market, Nvidia's quarterly updates have become critical to gauging the health of the AI industry and where it might be headed next. Nvidia has outperformed the broader market so far this year, but which way will the stock move post-earnings? My view is that Nvidia's shares are likely to decline. Here are two reasons why.
Image source: The Motley Fool.
1. Wall Street has adjusted its expectations
Even Nvidia's internal projections have constantly underestimated the company's ability to capitalize on the AI boom. Over the past few years, the semiconductor specialist has, as a rule, delivered earnings beats. The market cheered these performances in the early days of the ongoing AI revolution. However, it has become accustomed to them. Now, investors expect Nvidia to beat its own revenue and earnings guidance and analyst estimates, which means that's already baked into the stock price.
That doesn't mean Nvidia's shares can't jump post-earnings, but that would require an extraordinary beat-and-raise quarter. On the other hand, Wall Street will shrug -- at best -- if Nvidia posts revenue and earnings just slightly above expectations. The stock may even decline as a result.
2. A major pre-earnings run-up
Earnings season has shown that the AI boom is still in full swing. Several leaders in the field have posted outstanding financial results. For instance, the hyperscalers -- or leading cloud computing providers -- all saw accelerating cloud sales growth. These are among Nvidia's largest customers, so their results tell us something about how the chipmaker may perform. We can also point to CoreWeave (CRWV -0.97%), a company that builds and runs data centers tailored for AI.
CoreWeave buys racks of Nvidia's hardware. So if CoreWeave is performing well and increasing investments in the business, that's a great sign for Nvidia. That seems to be what's happening. CoreWeave's second-quarter results were excellent, with the company's revenue and backlog soaring compared to the year-ago period.
All of this suggests that Nvidia also performed well in its latest quarter, and the market knows it. Nvidia's shares have risen significantly over the past couple of weeks or so -- they are up almost 19% since July 29. As a result, it'll be even harder for Nvidia to impress Wall Street on Aug. 26.
Today's Change
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Current Price
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225.16
Should you give up on the stock?
Investors should focus on whether Nvidia can perform well over the long run, not whether the company can post strong enough financial results during its upcoming quarter for the stock to experience a post-earnings jump. And there are good reasons to think the tech leader still has a significant runway for growth. AI infrastructure spending doesn't seem to be slowing down much.
That's why many companies in the field are beating expectations. Meanwhile, Nvidia remains the leader in the GPU niche and has expanded into new areas. The agentic AI boom may drive sustained demand for CPUs (Central Processing Units), and Nvidia is poised to capitalize on it, having launched its Vera CPU. That's just one opportunity it could tap into. Beyond supplying the chips that power AI, Nvidia offers a host of other services that allow companies to deploy, run, and manage AI applications effectively.
That puts the company in a strong position to benefit from the industry's continued growth. Now, will Nvidia post the same kind of returns it did during the first couple of years of the AI boom? That's highly unlikely. But the stock can still be an above-average performer over the long term.
Nvidia jedná o investici až 3 miliardy USD do SB Energy, která staví datacentrový projekt v Ohiu pro OpenAI. Součástí má být i kreditní podpora kolem 100 miliard USD.
Nvidia and OpenAI logos are seen in this illustration taken, September 22, 2025. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rights, opens new tab
CompaniesAug 15 (Reuters) - Nvidia (NVDA.O), opens new tab is in talks to invest as much as $3 billion in SB Energy, a SoftBank Group (9984.T), opens new tab subsidiary developing a massive planned Ohio data center project for OpenAI, the Information reported on Saturday, citing people familiar with the discussions.
Here are some details:
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The proposed investment is part of Nvidia's talks with OpenAI and SB Energy on providing around $100 billion in credit support for the planned Ohio data center campus, the report said.
Nvidia has discussed investing half of the $3 billion when the Ohio project deal is signed and the other half as part of SB Energy's planned initial public offering, according to the Information.
Reuters could not immediately verify the report. Nvidia and SB Energy did not immediately respond to requests for comment outside regular business hours.
SB Energy is aiming to go public as soon as next month and could raise at least $5 billion in the IPO, the report added.
SB Energy, which is also backed by OpenAI, develops large-scale power and data center infrastructure projects. Founded in 2019, the company is building several data center campuses to support rising demand tied to AI workloads.
The Wall Street Journal on Friday reported that Nvidia has revised its plans to support a proposed OpenAI data center project in Ohio and is now expected to initially guarantee less than $120 billion, down from the $250 billion previously discussed.
Reporting by Disha Mishra in Bengaluru
Our Standards: The Thomson Reuters Trust Principles., opens new tab
Nvidia uvedla do plné výroby platformu Spectrum-X Ethernet Photonics, první Ethernet switch s co-packaged optics pro 200G na linku v masové výrobě. Má snížit spotřebu sítě 5x a zlepšit škálování AI clusterů.
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Every AI story eventually runs into the same wall: power. Data centers can only pull so much electricity from the grid, and chips can only move data so fast before the network becomes the bottleneck instead of the processor.
Nvidia (NASDAQ:NVDA | NVDA Price Prediction) posted $81.7 billion in revenue for its fiscal first quarter, up 85% year-over-year, with data center revenue alone hitting $75.2 billion. That kind of growth doesn’t come from selling faster chips alone — it comes from controlling the whole system those chips live in. Now, Nvidia just took its boldest step yet toward owning the wiring, not just the brains, of the AI factory.
The Networking Bottleneck Nvidia Just Solved
Nvidia just announced its Spectrum-X Ethernet Photonics platform entered full mass production, becoming the first co-packaged optics (CPO) Ethernet switch built for 200G-per-lane volume shipping.
Traditional AI data centers link GPUs using pluggable optical transceivers — separate components that convert electrical signals to light and back again. At the scale of a million-GPU cluster, that’s a liability: more lasers to fail, more power draw, more heat.
Nvidia’s fix was to solder the optics directly onto the switch chip. The results are 4 times fewer lasers, 5x lower network power consumption, 10x better resiliency at scale, and a 64x improvement in signal integrity. Optical loss dropped from roughly 22 decibels to about 4. Translation for shareholders: fewer parts breaking down, lower electricity bills for customers, and a network that keeps pace as clusters scale into the millions of GPUs.
CoreWeave (NASDAQ:CRWV), Lambda, and Oracle (NYSE:ORCL) are the first customers, with production having ramped from May through July before reaching full volume. That’s not a science project — that’s revenue.
Nvidia is no longer just building the brains of AI—it’s seizing control of the entire circulatory system to crush the power bottlenecks stopping its rivals cold.
The Supply Chain Nvidia Is Building Around
Nvidia doesn’t manufacture silicon photonics alone, and that’s where the thesis broadens beyond one ticker. Taiwan Semiconductor Manufacturing (NYSE:TSM) handles the advanced silicon photonics fabrication, with packaging capex rising toward 20% of TSM’s planned $52 billion to $56 billion 2026 budget. Advanced packaging made up roughly 8% of TSM’s revenue in 2025, and is expected to top 10% in 2026. TSM trades at a trailing P/E near 30, against a 10-year median closer to 20, so investors are already paying up for this growth.
Lumentum Holdings (NASDAQ:LITE) supplies lasers and optics into the CPO buildout and has secured multi-hundred-million-dollar CPO orders for delivery in the first half of calendar 2027. Its fiscal Q4 revenue hit $1.01 billion, more than doubling year-over-year, with adjusted EPS of $3.23 — also more than double the prior year. Next-quarter guidance of $1.225 billion to $1.275 billion in revenue topped Wall Street’s estimates.
Company
Trailing P/E
Recent Revenue Growth (YoY)
Nvidia
34
85% (Q1 FY2027)
TSM
28
100% (H1 FY2026)
Lumentum Holdings
n/a
83%+ (FY2026)
Why This Deepens Nvidia’s Moat
Owning the switch-to-optics integration doesn’t just make Nvidia’s network faster — it makes the ecosystem stickier. A hyperscaler building around Spectrum-X Photonics buys into Nvidia’s InfiniBand, NVLink, and Ethernet roadmap all at once. Nvidia’s networking revenue nearly tripled to $14.8 billion in fiscal Q2 2026, up 199% year over year — this is becoming its own growth engine, not a side project. Granted, Nvidia’s trailing P/E of roughly 34 sits well below its five-year average near 69, so the market isn’t pricing this as a moonshot.
That said, competition isn’t standing still. Advanced Micro Devices (NASDAQ:AMD) is projecting 64% EPS growth for 2026 with a PEG ratio near 0.4 to 0.5, a cheaper entry for the same AI infrastructure trend. And CPO manufacturing yields remain the swing factor: Yole Group pegs the entire data-center CPO market at roughly $46 million in 2024, growing to $8.1 billion by 2030 — a 137% compound annual growth rate on a market that’s still tiny today.
Key Takeaway
Nvidia isn’t just selling chips anymore — it’s selling the highway those chips talk over, and it’s pulling Taiwan Semiconductor Manufacturing and Lumentum along for the ride.
For investors already holding Nvidia, this reinforces the bull case: a widening moat backed by real revenue. For those wanting exposure without Nvidia’s premium, TSM and Lumentum offer picks-and-shovels entry points — though the latter’s 708% gain over the last year already prices in much of that 2027 CPO ramp.
In any case, the network is no longer an afterthought in the AI story. Nvidia just planted its flag first.
Contact [email protected] for any questions or corrections.
Nvidia uvedla, že její podíl ve SpaceX měl na konci druhého čtvrtletí hodnotu asi 21 miliard USD. Akcie SpaceX od konce června klesly, takže hodnota podílu je nyní zhruba 17,2 miliardy USD.
Nvidia disclosed on Friday that its stake in Elon Musk's SpaceX was worth about $21 billion at the end of the second quarter.
The chipmaker said in a filing with the Securities and Exchange Commission that it owns 122.8 million Class A shares in Elon Musk's rocket maker, which held its public market debut in June.
SpaceX's stock closed at $140 on Friday, down from $170.86 at the end of June, so the value of Nvidia's shares have declined to about $17.2 billion.
It's Nvidia's second biggest holding behind its stake in Intel, which is currently worth about $22 billion, down from $30 billion when the quarter ended. That represents a massive return on Nvidia's $5 billion investment less than a year ago.
Nvidia is the sixth biggest investor in SpaceX, based on data from FactSet. Musk is by far the largest owner with a stake worth about $850 billion. Alphabet is second at roughly $78 billion.
Nvidia's shares in SpaceX came from the company's $10 billion investment in Musk's xAI as part of a $20 billion round in January, according to a person familiar with knowledge of the matter who asked not to be named because the exact size of the deal wasn't made public. SpaceX acquired xAI in February in a deal valued at $1.25 trillion.
Musk said on SpaceX's second-quarter earnings call earlier this month that the company will exclusively use Nvidia chips in its AI data centers. He said Nvidia's graphics processing units have the "best architecture" for training and inference of AI models, and related products and services.
Musk also said, on the call that he expects SpaceX will receive a "significant allocation" of Nvidia's Vera Rubin GPUs next year.
Groq začne ve svých datových centrech používat systémy Nvidia, takže zákazníci GroqCloud získají přístup i k technologii Nvidia. Je to další obrat po loňské dohodě za 20 miliard USD.
Nvidia CEO Jensen Huang. Bloomberg/Getty Images Nvidia is squeezing even more value out of its deal with AI chipmaker Groq by turning a former rival into a customer.
Groq said Wednesday it plans to put Nvidia systems in its data centers — meaning customers of its AI cloud service, GroqCloud, can access Nvidia technology alongside Groq's signature language processing units (LPUs), chips designed as a fast and efficient alternative to Nvidia's AI chips.
It's an about-face from where the companies started — and highlights Nvidia's strategic approach to fending off competition, analysts said.
Futurum Group CEO Daniel Newman said Groq's surviving entity "is proving something different: that the fastest way to scale in AI infrastructure is to build on Nvidia, not against it."
In December, Nvidia announced it struck a $20 billion deal with Groq to license its technology and hire its senior leadership, including founder Jonathan Ross and president Sunny Madra. Nvidia has since incorporated LPUs into its product lineup.
At the same time, Groq remained independent and continued operating its AI cloud. It announced a $650 million funding round in June. Now that Groq and Nvidia work together more closely, it eliminates some competition for Nvidia.
"This makes the original Groq transaction look even more strategic," said Brad Gastwirth, global head of research and market intelligence at Circular Technology.
"It potentially neutralized part of a competitive threat while preserving Groq as a growing platform that can now drive additional demand back toward Nvidia," he added.
Gastwirth said Nvidia doesn't need all AI workloads to run exclusively on its chips as long as it can still capture at least some of the business.
"It can absorb the IP, hire the founding talent, invest in the surviving entity, and then sell that entity the compute," Newman said. "Every layer of that sequence deepens the moat."
Gil Luria, head of technology research at D.A. Davidson, said that the LPU technology was the real prize for Nvidia in the original deal. While many specialized AI cloud providers, known as neoclouds, were already buying Nvidia's AI chips, this new partnership with Groq fits a broader pattern of the chipmaker making savvy moves to strengthen its position, he said.
"They play chess when everybody else is playing checkers," Luria said.
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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.
Nvidia (NVDA +0.54%) will report its second-quarter results on Aug. 26, and there's plenty of reason for optimism. The company is the leading maker of the processors that power artificial intelligence workloads, and it remains the world's largest company by market cap.
Nvidia has a history of delivering quarterly results that exceed analysts' expectations, and another solid report could send the chipmaker's stock soaring. Cathie Wood, CEO of Ark Invest, is apparently counting on that -- she has been scooping up shares. Over three recent trading days -- July 28, Aug. 5, and Aug. 10 -- she bought $59.9 million of Nvidia stock for her firm's exchange-traded funds (ETFs).
Ark Exchange-Traded Fund
July 28 Purchase
Aug. 5 Purchase
Aug. 10 Purchase
Total Purchased
Ark Innovation ETF
$8.2 million
$9.4 million
$12.6 million
$30.2 million
Ark Next Generation Internet ETF
$2.3 million
$2.7 million
$7 million
$12 million
Ark Autonomous Technology & Robotics ETF
$2.7 million
$3.1 million
$4.1 million
$9.9 million
Ark Fintech Innovation ETF
$1.1 million
$1.1 million
$1.5 million
$3.7 million
Ark Space & Defense Innovation ETF
$1.1 million
$1.3 million
$1.7 million
$4.1 million
Totals
$15.4 million
$17.6 million
$26.9 million
$59.9 million
Data source: Ark Invest.
Those purchases were spread over five of Ark Invest's exchange-traded funds -- the vehicles Wood uses to invest in disruptive technologies, fintech, artificial intelligence, space, and robotics. Notably, those buys increased in size each time.
In all, Wood has increased Ark Invest's total stake in Nvidia by a whopping 24%, bringing its investment in the GPU leader to more than $303.6 million.
Ark Exchange Traded Fund
Nvidia Shares Held
Market Value of Nvidia Stake
Weighting in Fund
Ark Innovation ETF
639,590
$139,142,804
2.20%
Ark Next Generation Internet ETF
183,964
$40,021,368
2.28%
Ark Autonomous Technology & Robotics ETF
329,001
$71,574,167
3.52%
Ark Fintech Innovation ETF
101,153
$22,005,835
2.89%
Ark Space & Defense Innovation ETF
141,864
$30,862,513
3.62%
Data source: Ark Invest. Data as of Aug. 11, 2026.
Why is Wood buying Nvidia stock?
Nvidia has been a high-flying stock for the last several years, but it has shown some weakness lately. Shares are up only 2% over the last three months as the semiconductor sector has come under pressure over fears that the AI infrastructure build-out could lead to a bubble and that a shortage of memory and data storage chips could throttle the growth of the entire industry.
But spending on new data centers remains strong -- hyperscalers Amazon, Meta Platforms, Microsoft, and Alphabet have indicated they will spend more than $730 billion combined on AI infrastructure this year, and they expect that number to increase next year.
Ark Invest CEO Cathie Wood. Image source: Getty Images.
On top of that, Nvidia has partnered with several major Wall Street financial institutions, including Apollo Global Management, BlackRock, Blackstone, Goldman Sachs, KKR, and Brookfield, to raise $500 billion in third-party capital for AI infrastructure serving frontier AI labs, enterprise firms, and AI cloud companies.
Should you follow Wood's lead here?
Every indication is that Nvidia is set to report another monster quarter. Revenue in its fiscal 2027 first quarter (which ended April 26) was $81.61 billion, up 85% from a year earlier. Nvidia's projected fiscal 2027 Q2 revenue is $91 billion, a 94% gain from a year ago, when revenue was $46.7 billion. Analysts surveyed by Yahoo! Finance are expecting even more, with the consensus revenue estimate of $91.85 billion, up 96.5% from a year ago.
Today's Change
(
0.54
%) $
1.21
Current Price
$
225.30
Nvidia's data center business continues to drive its revenue and profits, accounting for more than 90% of revenue. With hyperscalers continuing to invest in AI infrastructure and Wall Street firms lining up to make another $500 billion available, Nvidia is well-positioned to deliver a good quarter and see another bump in its stock price.
Against that backdrop, Wood's inclination to lean in on Nvidia stock before earnings makes a lot of sense.
Patrick Sanders has positions in Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, BlackRock, Blackstone, Brookfield Corporation, Goldman Sachs Group, KKR, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.
Nvidia oznámila plán až za 500 miliard USD na výstavbu AI datových center s podporou Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs a KKR. Firma zároveň bude ručit za až 25% pokles hodnoty GPU použitých jako zástava.
Nvidia announced this week that Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR were willing to commit up to $500 billion to build AI data centers. That eye-popping figure got a lot of the attention, but the bigger story is Nvidia’s effort to create a secondary market for aging GPUs.
To convince those big-name financial companies, Nvidia has agreed to guarantee, with its own money, that its chips used as collateral in these deals will retain their value.
Many have now commented on how unusual, smart, and dangerous this plan is. It is all of those things. The bond markets got so spooked that Nvidia CEO Jensen Huang took to X and business TV to better explain how Nvidia’s risk would be limited.
But underneath the financial maneuvering to fund AI data centers (and keep revenue for Nvidia flowing), is something, perhaps, far more interesting for startups and enterprises: Huang wants to ensure an ecosystem of used AI hardware flourishes, helping sustain demand for Nvidia hardware as it ages.
Specifically, Nvidia is promising that if GPUs used as collateral don’t retain their value as expected, the company will cover up to 25% of the difference. So, if a data center owner defaults on a loan and the lender must liquidate, but the chips can’t command the price the books say they should, Nvidia will chip in.
The dangerous part for Nvidia is that this creates something financiers call “wrong way” risk. That is, Nvidia’s obligations will grow as demand weakens. Should that happen, its revenues will likely be squeezed as well.
Still, the scheme is deliberately unlike the comparison to Lucent Technologies that some have been making. Lucent was the telecommunications equipment provider that rose and crashed with the dotcom bubble after lending its customers money to buy its wares.
The Lucent comparison is a shadow over Nvidia, Huang knows. And not an unfair one. Nvidia definitely has committed billions toward those who buy its chips, including frontier AI labs OpenAI and Anthropic, neoclouds like CoreWeave (the originator of using Nvidia chips as collateral), as well as Nebius, Firmus, and Lambda. And it has been working on another $750 billion worth of circular deals this summer, Bloomberg has calculated.
“Is this circular financing?” Huang wrote on X about the new scheme. “This initiative is designed to address that concern. We are bringing independent, long-term institutional capital into the AI infrastructure market.”
That’s true. Unlike Lucent, Nvidia is getting others to shoulder the bulk of the capital and risk, merely by agreeing to protect a portion of its chips’ value in the future.
Should this plan work, Nvidia will have found new sources of money for AI data center builds, after many of the traditional methods have begun to wear thin. For instance, some of the hyperscalers have already taken on a lot of debt (like Oracle), issued new tranches of equity (Google), and burned much cash (Meta).
The situation has become so dicey that Microsoft CEO Satya Nadella recently recommended the book “1873” during his latest earnings call. It’s about the railroad-era financial engineering that crashed the nation’s economy.
The risk is that today’s AI boom, where demand far outstrips capacity, doesn’t continue for much longer. Rather than being in the early innings, what if enterprises and consumers temper AI usage? Or new technologies come along to make existing infrastructure more effective and/or all of today’s AI infrastructure obsolete?
Then, like so many buggy whips in the face of automobiles (to paraphrase Danny Devito’s Lawrence Garfield), demand dries up and everything crashes.
Yet, Huang is arguing that won’t happen by selling a vision of AI as a long-term “investable infrastructure,” as he describes it. That makes his AI servers, which he calls “AI factories” akin to railroads or airlines rather than quickly depreciating assets like PCs.
“When needs change, the factory can be used by another customer, another cloud or another operator. This broad ecosystem gives NVIDIA compute a deep market of potential users and offtakers, helping protect residual value,” he promised.
In that future, Nvidia cares as much about aging architecture as it does the new chips. And perhaps startups, enterprises, and even researchers will tap into a broader variety of hardware, each tuned to different AI needs, just like they are beginning to pick affordable open-weight models alongside the frontier choices.
As the king of AI, Nvidia has the power, and the window of opportunity, to make that happen.
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Jim Cramer řekl, že GPU karty Nvidia jsou spíš jako šperky než auta, protože si díky ekosystému CUDA drží hodnotu i po letech. To je klíčové pro financování AI infrastruktury, které počítá s jejich zůstatkovou hodnotou.
Jim Cramer devoted a segment of Mad Money on August 12 to a valuation analogy that cuts to the heart of the debate over AI infrastructure financing. “These chips aren’t like cars that lose half their value the moment they drop off a lot. They’re more like fine jewelry,” he said of NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) GPUs, adding that the Compute Unified Device Architecture (CUDA) software ecosystem lets “9 year old chips keep their value, even appreciating”.
The residual-value question is no longer academic. Wall Street is lining up hundreds of billions of dollars in AI compute financing whose economics depend partly on GPUs retaining meaningful value years after installation. Cramer’s jewelry framing maps directly onto that collateral debate.
The Numbers Behind the Jewelry Thesis Nvidia’s most recent quarter provides quantitative backing for the pricing power argument. In Q1 FY2027, reported May 20, 2026, revenue reached $81.615 billion, up 85.23% year over year, with non-GAAP diluted EPS of $1.87 against a $1.7738 consensus. Non-GAAP gross margin landed at 75.0%, and management guided Q2 to $91.0 billion in revenue at the same margin, with any China Data Center compute revenue excluded from the outlook. Nvidia details the quarter in its Q1 FY27 8-K press release.
Margins of that scale, sustained across an $81.6 billion quarter, describe a scarce discretionary product with unusual pricing power. The Data Center segment alone generated $75.246 billion, up 92%, with networking revenue tripling to $14.8 billion as InfiniBand, NVLink, and Spectrum-X get pulled through every rack.
Why Residual Value Matters for AI Financing Cramer’s analysis lands as the plumbing of AI infrastructure financing gets built out in public. Reported deal flow includes Nvidia’s $500 billion AI compute financing partnership with Goldman Sachs and BlackRock, a new CME Group GPU futures product launching in October, and a fresh $89.9 billion NVDA position opened by JPMorgan Chase. Each structure asks lenders and rating agencies to underwrite the residual value of the underlying chips as collateral.
The CUDA software moat is what gives the jewelry framing its financial teeth. Because customer workloads are compiled against Nvidia’s CUDA-X stack, plus newer Dynamo inference software, an installed Hopper or Blackwell GPU keeps earning revenue years after newer silicon ships, defending the collateral value structured finance desks are counting on. Nvidia has already locked in $119.0 billion in total supply commitments and $30.0 billion in multi-year cloud service commitments, evidence that hyperscalers are pre-buying capacity years out.
What Investors Should Watch Next Prediction markets echo the confidence. Polymarket traders assign a 95.6% probability to Q2 Data Center revenue exceeding $80 billion and a 91.5% probability that non-GAAP gross margin lands in the 74% to 76% range. The composite sentiment score sits at 62.09, up 6.44 points over seven days.
Nvidia shares last traded at $223.80, up 20.3% year to date and 23.2% over one year. Analyst consensus sits at $302.83, with 58 Buy, 2 Hold, and 1 Sell ratings. Cramer’s jewelry line matters because it names the single assumption sitting underneath the AI capex cycle.
If GPUs retain their value across generations, the securitization stack works and the $5.42 trillion valuation is defensible. If residual prices sag once Vera Rubin ships with its promised order-of-magnitude token cost improvement, the financing math tightens quickly. Nvidia’s Q2 report, expected around August 26, is the next sign post that either confirms the jewelry thesis or forces a remodel.
Contact [email protected] for any questions or corrections.
Nvidia pomáhá vytvářet financování pro AI infrastrukturu a s partnery chce mobilizovat více než 500 miliard USD kapitálu třetích stran. Zároveň ale roste riziko, že alternativní čipy od AMD, Amazonu či Googlu srazí hodnotu a cenu pronájmu GPU.
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The AI boom is changing an old rule of technology investing: hardware is supposed to get cheaper, less useful, and eventually worthless. That assumption helped investors model data center equipment as a wasting asset with a five- or six-year life.
However, the market for Nvidia (NASDAQ:NVDA | NVDA Price Prediction) GPUs is starting to look different. Rental prices remain elevated, older chips are finding long-term customers, and Wall Street is building financing markets around their residual value. That creates a powerful re-rating opportunity for companies built around Nvidia hardware. It also creates a new risk: if alternative AI chips break Nvidia’s scarcity advantage, the entire asset-class thesis could unwind faster than investors expect.
GPUs Are Starting To Behave Like Assets
Silicon Data tracks GPU rental pricing across the AI-compute market and publishes daily benchmarks for A100, H100, B200, and Advanced Micro Devices‘ (NASDAQ:AMD) MI300X. Its data show that the traditional depreciation curve for Nvidia hardware has become less predictable, while newer generations have maintained pricing strength.
That matters because the neocloud business was built around depreciation. Buy a GPU, rent it out for several years, depreciate it toward zero, and replace it with something faster.
But an A100 launched in May 2020 is still generating meaningful rental economics in 2026. CoreWeave (NASDAQ:CRWV) reported $104.2 billion in backlog in its second-quarter results, followed by more than $25 billion of additional customer commitments — putting contracted demand above $129 billion.
If old Nvidia GPUs can keep producing revenue deep into their supposed retirement years, the accounting assumption and the economic reality start pulling apart.
Silicon is no longer a wasting asset—it's the new financial plumbing. Discover how Nvidia is turning 'old' hardware into a $500 billion cash-flow machine.
Nvidia Is Helping Wall Street Finance The Bet
Nvidia is not merely selling chips into this market. It is helping create the financial plumbing around them.
The company announced partnerships with major financial firms to mobilize more than $500 billion of third-party capital for AI infrastructure. The structure can include Nvidia guarantees covering up to 25% of certain projects’ residual value.
Then comes another important development. CME Group and Silicon Data plan to launch compute futures, pending regulatory approval. The contracts are designed to let AI builders and cloud providers hedge compute-price risk.
That is more important than it sounds. Once a cash flow can be hedged, lenders can underwrite it with greater confidence. Once lenders become comfortable, capital gets cheaper, and cheaper capital can push the value of the underlying assets higher.
The Nvidia Monopoly Is The Weak Link
Granted, today’s rental economics are reflecting a supply squeeze. More GPUs eventually mean more competition and potentially lower rental prices. But the bigger threat is not necessarily more Nvidia GPUs — it is fewer Nvidia GPUs being required.
AMD’s MI300X already has measurable rental activity in Silicon Data’s benchmarks, while Amazon (NASDAQ:AMZN) is moving its Trainium strategy toward a broader market. CEO Andy Jassy said in June Amazon’s chips business had surpassed a $20 billion annual revenue run rate and estimated it could approach $50 billion if operated as a standalone business selling to AWS and outside customers. He also said Amazon could eventually sell Trainium racks to third parties.
That gives AI customers another way to satisfy training and inference demand without renting Nvidia GPUs.
And that is the illusion Wall Street should worry about. Nvidia GPUs may be becoming durable, financeable cash-flow assets — but the evidence is still overwhelmingly Nvidia-specific.
Key Takeaway
The asset-class thesis is real enough to matter, and CoreWeave may be one of the companies that gets re-rated as investors recognize that GPU depreciation no longer tells the whole economic story.
But investors should not confuse Nvidia’s current dominance with permanent scarcity. AMD’s expanding footprint, Amazon’s potential Trainium sales, and other custom accelerators such as Google’s TPUs create a release valve. If alternative silicon absorbs enough AI workloads, Nvidia’s residual values and rental rates could fall together.
For now, the evidence favors Nvidia and Nvidia-heavy infrastructure providers. But the biggest risk to the thesis is becoming clear: GPUs can behave like forever cash-flow machines only if customers keep wanting Nvidia’s GPUs.
Contact [email protected] for any questions or corrections.
FAS Wealth Partners Inc. grew its stake in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 6.7% in the 1st quarter, according to its most recent filing with the Securities and Exchange Commission. The institutional investor owned 157,406 shares of the computer hardware maker’s stock after purchasing an additional 9,833 shares during the quarter. NVIDIA comprises about 1.7% of FAS Wealth Partners Inc.’s holdings, making the stock its 12th biggest holding. FAS Wealth Partners Inc.’s holdings in NVIDIA were worth $27,452,000 as of its most recent filing with the Securities and Exchange Commission.
Other institutional investors and hedge funds have also recently modified their holdings of the company. Norges Bank bought a new stake in NVIDIA during the 4th quarter valued at approximately $62,244,133,000. J. Stern & Co. LLP grew its holdings in shares of NVIDIA by 13,709.1% during the 4th quarter. J. Stern & Co. LLP now owns 125,760,307 shares of the computer hardware maker’s stock worth $23,454,297,000 after acquiring an additional 124,849,603 shares during the period. Cardano Risk Management B.V. raised its position 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 worth $14,570,119,000 after acquiring an additional 70,283,539 shares in the last quarter. Capital Research Global Investors raised its position in shares of NVIDIA by 16.1% in the 3rd quarter. Capital Research Global Investors now owns 165,377,852 shares of the computer hardware maker’s stock worth $30,855,564,000 after acquiring an additional 22,896,705 shares in the last quarter. Finally, Laurel Wealth Advisors LLC lifted its stake in shares of NVIDIA by 15,496.1% in 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 during the period. 65.27% of the stock is owned by hedge funds and other institutional investors.
Insider Buying and Selling at NVIDIA In related news, 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 transaction, the director owned 5,207,271 shares of the company’s stock, valued at approximately $1,094,412,146.07. This trade represents a 14.53% decrease in their ownership of the stock. The transaction was disclosed in a filing with the SEC, which can be accessed through this link. Also, Director John Dabiri sold 625 shares of the firm’s 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 transaction, the director directly owned 14,163 shares in the company, 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 worth $410,583,015 in the last three months. 3.94% of the stock is currently owned by company insiders.
NVIDIA News Roundup Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: $500 billion financing push reduces funding constraints: Bank of America said the initiative could ease financing risk by shifting much of the capital burden to Wall Street. The plan may make it easier for cloud providers and other customers to purchase NVIDIA hardware, networking products, and software, potentially extending the company’s revenue runway. BofA Says Nvidia’s $500 Billion Plan Eases Financing Risk Positive Sentiment: Continued demand for current and older GPUs: Susquehanna expects a continued GB300 ramp ahead of NVIDIA’s Vera Rubin platform release. Separately, CoreWeave’s CEO said the company is booking NVIDIA A100 systems through 2029 at full pricing, challenging concerns that older GPUs will rapidly lose value. Nvidia likely to see continued GB300 ramp ahead of Vera Rubin release Positive Sentiment: Analysts remain bullish: Recent coverage includes rating upgrades and price-target increases, with Wells Fargo maintaining an overweight rating and a $315 target. The positive views reflect expectations for sustained AI infrastructure spending and NVIDIA’s end-to-end hardware, networking, and software advantage. SA analyst upgrades and downgrades Positive Sentiment: Broader AI ecosystem momentum: IBM and Together AI agreed to a $240 million multiyear contract for an NVIDIA-powered inference cluster, while NVIDIA’s open-weight model efforts could strengthen its software ecosystem and CUDA platform. IBM and Together AI ink $240 million deal Negative Sentiment: Financing risks remain a key overhang: Critics question whether the arrangement amounts to circular financing because NVIDIA may provide residual-value support of up to 25% on some deals. Rapid GPU depreciation, potential oversupply, and lower-cost Chinese compute could weaken collateral values and expose NVIDIA to losses if customers struggle. Neutral Sentiment: Near-term test: Investors are likely to look to NVIDIA’s late-August earnings report for evidence that GB300 demand, expanding customer spending, and the financing strategy are translating into sustainable revenue and earnings growth. NVIDIA Price Performance Shares of NVDA opened at $224.09 on Thursday. The firm has a fifty day simple moving average of $205.61 and a two-hundred day simple moving average of $198.06. The firm has a market cap of $5.42 trillion, a PE ratio of 34.32, a P/E/G ratio of 0.42 and a beta of 2.23. 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 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 quarterly earnings data 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 company had revenue of $81.61 billion during the quarter, compared to analyst estimates of $78.42 billion. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.NVIDIA’s revenue was up 85.2% compared to the same quarter last year. During the same quarter in the previous year, the company posted $0.81 earnings per share. On average, equities 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 buyback 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 often a sign that the company’s board of directors believes its stock is undervalued.
NVIDIA Increases Dividend The company 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. The ex-dividend date was Thursday, June 4th. This represents a $1.00 dividend on an annualized basis and a dividend yield of 0.4%. This is an increase from NVIDIA’s previous quarterly dividend of $0.01. NVIDIA’s dividend payout ratio is presently 15.31%.
Wall Street Analyst Weigh In Several equities research analysts recently weighed in on NVDA shares. Itau BBA Securities dropped their price target on NVIDIA from $256.00 to $218.00 in a research report on Wednesday, June 24th. CICC Research raised their price objective on NVIDIA from $240.60 to $268.30 and gave the company an “outperform” rating in a research report on Friday, May 22nd. Bank of America restated a “buy” rating and set a $350.00 target price (up from $320.00) on shares of NVIDIA in a report on Thursday, May 21st. Wedbush upped their target price on shares of NVIDIA from $300.00 to $330.00 and gave the stock an “outperform” rating in a research report on Thursday, May 21st. Finally, DZ Bank reiterated a “buy” rating on shares of NVIDIA in a research note 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 given a Hold rating to the company. Based on data from MarketBeat.com, the stock presently has a consensus rating of “Buy” and a consensus price target of $305.94.
View Our Latest Stock 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.
Read More Five stocks we like better than NVIDIA GE Vernova’s AI Power Boom Faces a Profit Test Cardinal Health Earnings: Can Perfection Get Priced In Twice? Nebius’ Q2 Beat Shows the AI Bottleneck Is Capacity, Not Demand Legacy Jet Builders Stall While Embraer Accelerates to New Highs
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BSN CAPITAL PARTNERS Ltd v 1. čtvrtletí zvýšila podíl v NVIDIA o 42,7 % na 3 575 500 akcií. Podíl měl hodnotu 644 484 000 USD a tvořil 28,5 % portfolia.
BSN CAPITAL PARTNERS Ltd lifted its position in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 42.7% in the 1st quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The institutional investor owned 3,575,500 shares of the computer hardware maker’s stock after acquiring an additional 1,069,073 shares during the quarter. NVIDIA accounts for approximately 28.5% of BSN CAPITAL PARTNERS Ltd’s investment portfolio, making the stock its largest holding. BSN CAPITAL PARTNERS Ltd’s holdings in NVIDIA were worth $644,484,000 at the end of the most recent quarter.
Other hedge funds also recently added to or reduced their stakes in the company. Lifetime Wealth Management P.C. bought a new position in shares of NVIDIA during the fourth quarter valued at approximately $26,000. Longview Financial Advisors Inc. purchased a new position in NVIDIA during the first quarter valued at approximately $27,000. Longfellow Investment Management Co. LLC raised its stake in NVIDIA by 47.9% in the second quarter. Longfellow Investment Management Co. LLC now owns 207 shares of the computer hardware maker’s stock worth $33,000 after buying an additional 67 shares in the last quarter. Phillip James Consulting Co. bought a new position in NVIDIA in the first quarter worth approximately $40,000. Finally, Spurstone Advisory Services LLC purchased a new stake in NVIDIA during the second quarter worth $40,000. 65.27% of the stock is owned by hedge funds and other institutional investors.
NVIDIA Stock Up 3.0% NASDAQ:NVDA opened at $224.09 on Thursday. 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 company’s fifty day moving average price is $205.61 and its 200-day moving average price is $198.06. NVIDIA Corporation has a 1-year low of $164.07 and a 1-year high of $236.54. The firm has a market capitalization of $5.42 trillion, a P/E ratio of 34.32, a PEG ratio of 0.42 and a beta of 2.23.
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. NVIDIA had a net margin of 62.97% and a return on equity of 96.94%. The company had revenue of $81.61 billion during the quarter, compared to the consensus estimate of $78.42 billion. During the same period in the previous year, the firm posted $0.81 earnings per share. The firm’s quarterly 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 has authorized a stock repurchase plan on Wednesday, May 20th that permits the company to buyback $80.00 billion in shares. This buyback authorization permits the computer hardware maker to repurchase up to 1.5% of its shares through open market purchases. Shares buyback plans are often an indication that the company’s board of directors believes its shares are undervalued.
NVIDIA Increases Dividend The business also recently disclosed a quarterly dividend, which was paid on Friday, June 26th. Stockholders 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. The ex-dividend date of this dividend was Thursday, June 4th. This represents a $1.00 annualized dividend and a dividend yield of 0.4%. NVIDIA’s payout ratio is presently 15.31%.
Key Headlines Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: $500 billion financing push reduces funding constraints: Bank of America said the initiative could ease financing risk by shifting much of the capital burden to Wall Street. The plan may make it easier for cloud providers and other customers to purchase NVIDIA hardware, networking products, and software, potentially extending the company’s revenue runway. BofA Says Nvidia’s $500 Billion Plan Eases Financing Risk Positive Sentiment: Continued demand for current and older GPUs: Susquehanna expects a continued GB300 ramp ahead of NVIDIA’s Vera Rubin platform release. Separately, CoreWeave’s CEO said the company is booking NVIDIA A100 systems through 2029 at full pricing, challenging concerns that older GPUs will rapidly lose value. Nvidia likely to see continued GB300 ramp ahead of Vera Rubin release Positive Sentiment: Analysts remain bullish: Recent coverage includes rating upgrades and price-target increases, with Wells Fargo maintaining an overweight rating and a $315 target. The positive views reflect expectations for sustained AI infrastructure spending and NVIDIA’s end-to-end hardware, networking, and software advantage. SA analyst upgrades and downgrades Positive Sentiment: Broader AI ecosystem momentum: IBM and Together AI agreed to a $240 million multiyear contract for an NVIDIA-powered inference cluster, while NVIDIA’s open-weight model efforts could strengthen its software ecosystem and CUDA platform. IBM and Together AI ink $240 million deal Negative Sentiment: Financing risks remain a key overhang: Critics question whether the arrangement amounts to circular financing because NVIDIA may provide residual-value support of up to 25% on some deals. Rapid GPU depreciation, potential oversupply, and lower-cost Chinese compute could weaken collateral values and expose NVIDIA to losses if customers struggle. Neutral Sentiment: Near-term test: Investors are likely to look to NVIDIA’s late-August earnings report for evidence that GB300 demand, expanding customer spending, and the financing strategy are translating into sustainable revenue and earnings growth. Insider Activity In related news, Director Stephen C. Neal sold 15,500 shares of NVIDIA 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 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 sale was disclosed in a legal filing with the Securities & Exchange Commission, which can be accessed through this hyperlink. Also, Director John Dabiri sold 625 shares of the business’s stock in a transaction that occurred 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 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 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. Insiders sold a total of 1,901,125 shares of company stock valued at $410,583,015 in the last quarter. 3.94% of the stock is currently owned by company insiders.
Analyst Upgrades and Downgrades Several analysts have issued reports on NVDA shares. Cantor Fitzgerald reaffirmed an “overweight” rating and set a $350.00 target price on shares of NVIDIA in a research report on Thursday, May 21st. Truist Financial upped their price objective on NVIDIA from $287.00 to $307.00 and gave the stock a “buy” rating in a research note on Thursday, May 21st. Seaport Research Partners upped their price objective on NVIDIA from $140.00 to $180.00 and gave the stock a “sell” rating in a research note on Thursday, May 21st. Wells Fargo & Company reaffirmed an “overweight” rating and set a $315.00 price objective on shares of NVIDIA in a research report on Tuesday. Finally, Citigroup initiated coverage on NVIDIA in a research note on Wednesday, April 15th. They issued a “buy” rating on the stock. Three investment 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.com, NVIDIA currently has a consensus rating of “Buy” and a consensus target price of $305.94.
Read Our Latest Research Report on NVDA
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.
Featured Articles Five stocks we like better than NVIDIA GE Vernova’s AI Power Boom Faces a Profit Test Cardinal Health Earnings: Can Perfection Get Priced In Twice? Nebius’ Q2 Beat Shows the AI Bottleneck Is Capacity, Not Demand Legacy Jet Builders Stall While Embraer Accelerates to New Highs 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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Jensen Huang varoval, že pokud čínské AI modely poběží lépe na čipech od Huawei než na NVIDIA, je to pro USA „hrozný výsledek“. NVIDIA zároveň počítá s nulovými tržbami z datacenter v Číně ve výhledu na Q1 FY2027.
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Jensen Huang doesn’t rattle easily. The CEO of NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) has spent the past three years narrating an AI buildout that has pushed his company to a $5.18 trillion market cap. So when he turns visibly defensive, investors should pay attention.
On a recent Prof G Markets segment, China analyst Alice Han and host Ed Elson dissected a tense exchange between Huang and podcaster Dwarkesh Patel. Huang warned that if China’s DeepSeek optimized its next-generation models for Huawei silicon before NVIDIA hardware, “that is a horrible outcome for our nation,” adding that AI models running best on non-American chips “is bad news for us.” Elson called it “the first time I’ve seen him as defensive.”
What Huang Is Really Worried About The fear is structural. If DeepSeek, whose V4 model already handles a 1 million token context window on par with Gemini and the leading U.S. labs, shifts its training stack to Huawei accelerators, NVIDIA loses the network effect that has made CUDA the default substrate of global AI. Han noted DeepSeek’s funding will likely be “state-led” rather than venture-backed like Anthropic or OpenAI, and that hardware access remains the critical bottleneck.
Huang made the same case on NVIDIA’s Q1 FY2026 call: “The question is not whether China will have AI, it already does. The question is whether one of the world’s largest AI markets will run on American platforms.” He pegged the China AI accelerator TAM at roughly $50 billion, a market NVIDIA has effectively been locked out of. The H20 ban already forced a $4.5 billion inventory write-down, and Q1 FY2027 guidance of ~$78.0B explicitly assumes zero China Data Center compute revenue.
The Numbers Behind the Anxiety NVIDIA’s underlying business has not blinked. Q4 FY2026 revenue hit $68.13 billion, up 73% YoY, with Data Center Networking alone climbing 263% YoY on NVLink demand for GB200/GB300 racks (8-K filing). Full-year FY2026 revenue reached $215.94 billion. Wall Street’s consensus target sits at $269.17, with 48 Buy ratings and nine Strong Buy ratings against just two Hold ratings. Forward P/E is 24x.
Shares are up 22.12% over the past year and 18.44% year to date through Aug. 12.
What To Watch Reddit’s r/stocks community is already debating the threat directly, with one heavily-engaged thread asking “how do TPUs not pose a threat to GPU” drawing 221 comments. Han flagged that U.S. export policy has gone “off, on, off, on,” leaving NVIDIA strategically exposed. Huang’s defensive posture suggests the China question is no longer hypothetical, and the next earnings cycle will reveal whether the Vera Rubin roadmap and Grace Blackwell momentum can outrun a parallel Chinese AI stack.
Contact [email protected] for any questions or corrections.
Wall Street zvýšila odhad zisku společnosti Nvidia na růst o 44 % ročně v příštích třech letech. Analytici zároveň čekají vyšší výdaje hyperscalerů na AI infrastrukturu.
Nvidia (NVDA +3.03%) shares are up 1,390% since the artificial intelligence boom began in January 2023, and Wall Street still thinks the stock is undervalued. Among 65 analysts, the median target price is $300 per share, implying 37% upside from the current share price of $218.
Nvidia shareholders recently got good news from Wall Street. Consensus earnings estimates have recently been revised higher, such that analysts now expect earnings to increase at 44% annually over the next three years. In March, the consensus estimate said earnings would increase at 33% annually over that period.
What changed? Wall Street analysts once again underestimated how much money hyperscalers would spend on AI infrastructure. Here are the important details.
Image source: Getty Images.
Nvidia dominates the market for AI infrastructure across GPUs, CPUs, and networking equipment Nvidia is a full-stack accelerated computing company that develops graphics processing units (GPUs), central processing units (CPUs), and networking equipment, supported by a robust ecosystem of software tools. That approach lets the company optimize performance and power efficiency in ways most competitors cannot, which explains why Nvidia systems are the gold standard in artificial intelligence.
Most readers probably know that Nvidia GPUs account for a large percentage of data center accelerator sales (around 90%, according to HPC Wire). But readers may be less familiar with the company's prowess in other categories. Nvidia recently became the largest networking company in the world, and it's on pace to become the largest CPU supplier by the end of this year.
Of course, there's been a lot of talk about application-specific integrated circuits (ASICs), chips purpose-built for specific workloads like artificial intelligence. Some investors are worried that custom silicon will eventually displace Nvidia. But those fears are unwarranted. ASICs perform certain tasks more cheaply than Nvidia GPUs, but they are less flexible and lack the robust software development ecosystem that backs Nvidia chips.
"Nvidia isn't going anywhere anytime soon," according to Meera Pandit, global market strategist at J.P. Morgan. "Only Nvidia chips can handle any AI workload. Custom hardware is a safe and efficient bet for known workloads like inference, but there's an obsolescence risk as AI evolved."
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Wall Street raised its hyperscaler capital expenditure (capex) spending forecast for 2026 Currently, 26% of hyperscaler capital expenditures (capex) go straight to Nvidia's bottom line, according to research from J.P. Morgan. That astonishing metric underscores the essential role Nvidia plays in the AI infrastructure market. And assuming the company maintains its pricing power and market share, earnings growth should more or less match capex growth going forward.
Here's the good news for shareholders: Wall Street has consistently underestimated how much hyperscalers will spend on AI infrastructure. "At the start of both 2024 and 2025, consensus estimates implied capex growth of roughly 20% for the year," writes Goldman Sachs. "In reality, it exceeded 50% in both years."
The same thing happened in 2026. Last June, the consensus estimate said capex spending among the five largest hyperscalers -- Alphabet, Amazon, Meta Platforms, Microsoft, and Oracle -- would total $361 billion this year. But Wall Street has since raised its forecast by over 100%, such that the consensus estimate now says their capex spending will total $733 billion in 2026.
Similarly, investors have reason to think Wall Street is making the same mistake with 2027. The consensus estimate currently says capex spending among the top five hyperscalers will grow 28% to $939 billion next year. But that would be a major slowdown compared to capex growth of 56% in 2024, 73% in 2025, and the projected capex growth of 90% in 2026.
Here's the big picture: Wall Street currently expects capex spending among the five largest hyperscalers to grow at 41% annually through 2028. Meanwhile, the consensus estimate says Nvidia's earnings will increase at 44% annually over the same period. It makes sense that those figures are roughly equivalent.
However, if analysts are underestimating hyperscaler capex, which is plausible given their track record, it stands to reason that they are also underestimating Nvidia's future earnings. And if earnings grow faster than expected over the next few years, the efficient market hypothesis predicts the stock price will rise. That makes Nvidia a worthwhile long-term investment.
NVIDIA v 1. čtvrtletí fiskálního roku 2027 zvýšila tržby na 81,615 miliardy USD, meziročně o 85,23 %, a tržby datového centra vzrostly na 75,246 miliardy USD, o 92 %.
I keep buying NVIDIA (NASDAQ:NVDA | NVDA Price Prediction), and the buy button has become a habit. Every quarter sharpens the case for adding shares. This is my highest-conviction position because the world is rewiring itself around AI compute, and Jensen Huang’s company is the toll booth on the road everyone is paving.
AI is moving from single-shot chatbots to continuous, multi-step agentic workflows that multiply compute and memory demands on every data center. Huang put it bluntly on the last call: “The buildout of AI factories, the largest infrastructure expansion in human history, is accelerating at extraordinary speed.” Reasoning models chew through a hundred to a thousand times more tokens than a one-shot query. Every token routes through NVIDIA silicon.
The Receipts I Keep Coming Back To Q1 FY2027 revenue landed at $81.615 billion, up 85.23% year over year, with Data Center at $75.246 billion (+92%). Data Center Networking at $14.8 billion, up 199% shows the full-stack moat in the P&L. NVLink, Spectrum-X, and InfiniBand are the plumbing agentic AI needs, and customers are paying for the whole rack.
Profitability: Non-GAAP gross margin of 75.0%, ROE of 101.5%, ROIC of 92.2%, and net debt/EBITDA of 0.006. Free cash flow was $48.554 billion in a single quarter. That balance sheet funds the next architecture cycle without asking for permission.
Capital return signals management sees runway ahead. The quarterly dividend rose from $0.01 to $0.25, and the board added an $80 billion buyback authorization on top of the $38.5 billion already outstanding. Companies that think the story is ending do not do that.
Why NVIDIA Over the Obvious Alternative The name a reader reaches for first is Advanced Micro Devices (NASDAQ:AMD). I own some, but my incremental dollar lands here. The reason is the networking line. A GPU competitor can match a chip. Matching CUDA, NVLink Fusion, Spectrum-X, and the software stack that runs in every cloud and every frontier model is a different problem. Even Intel (NASDAQ:INTC) chose to co-develop custom data center and PC products with NVIDIA using NVLink. When your rival plugs into your interconnect, that is the moat announcing itself.
The Risk I Refuse to Wave Away China export controls are real. Q1 saw no H20 shipments to China, and Q2 guidance of $91.0 billion, plus or minus 2%, explicitly assumes zero China Data Center compute. Add $119 billion in supply commitments and hyperscaler concentration near 50% of Data Center revenue, and concentration risk is real. Demand outside China absorbs supply faster than TSMC can print wafers. The roadmap from Blackwell Ultra to Vera Rubin gives multi-year visibility into a product cycle customers have already committed capital toward.
Why the Buy Button Stays Active At $224.09 and a P/E near 45, This is a premium multiple, paid for a company earning $1.87 a share off a 5-for-5 beat streak while building the operating system for the next industrial revolution. As long as agentic AI multiplies tokens, and NVIDIA remains the only place they can run at scale, my next contribution goes to the same ticker.
Contact [email protected] for any questions or corrections.
Nvidia oznámila rekordní výnosy z datových center a sítí ve výši 14,8 miliardy USD za první fiskální čtvrtletí 2027, meziročně o 199 % více. Síťové technologie se pro ni stávají klíčovým růstovým motorem vedle GPU.
Nvidia (NVDA +3.03%) continues to be a dominant force in the artificial intelligence (AI) boom, thanks largely to its industry-leading graphics processing units (GPUs). But another type of technology is becoming increasingly important to the company's growth.
Nvidia generated a record $14.8 billion in data center networking revenue in its fiscal 2027 first quarter (which ended April 26), up 199% year over year. Networking revenue rose from $8.6 billion in its fiscal 2024 to $13 billion in its fiscal 2025 and to $31.4 billion in its fiscal 2026. Its opportunity in the space could become even larger as AI clusters scale further and require increasingly powerful networking infrastructure to connect many thousands of accelerator chips together.
Image source: Getty Images.
Networking is becoming a major growth engine Modern AI systems increasingly depend on high-performance networking as well as raw computing power. Training and running increasingly sophisticated models requires massive amounts of data to be moved rapidly among large numbers of accelerators and data storage devices. If the network cannot keep up, communication can become a bottleneck that reduces GPU utilization and slows AI workloads.
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Nvidia's NVLink technology connects GPUs inside powerful AI rack systems, while Spectrum-X Ethernet connects servers and racks across larger data centers. As AI systems scale, the company has more opportunities to sell networking and interconnect technology alongside its computing hardware.
According to research firm IDC, Nvidia captured 21.5% of data center Ethernet switching revenue in the first quarter of 2026, making it the market leader.
Custom AI chips are strengthening the networking opportunity Custom AI chips are a growing competitive threat to Nvidia's GPUs. But the NVLink Fusion rack-scale platform could cushion the company against that threat by allowing some custom processors to work alongside its networking and infrastructure technologies. That gives it another way to benefit from the rising AI infrastructure spending, even in cases when it doesn't supply the AI accelerators.
Nvidia has also expanded its partnership with custom chip designer Marvell Technology (MRVL +2.25%). Under the partnership, Marvell will provide custom accelerators and the networking hardware needed to connect those processors at high speeds, while Nvidia will supply technologies including NVLink high-speed interconnect technology, Spectrum-X switches, ConnectX network adapters, and BlueField data processing units.
Nvidia's networking business will not benefit from every custom AI chip. Customers can still choose competing networking technologies, and its networking gains may not fully compensate for the loss of lucrative GPU sales to rival chipmakers.
Competition is also significant, with market research firm IDC estimating Arista Networks' share of the data center Ethernet switching market at 20.7%, marginally below Nvidia's 21.5% share.
Still, Nvidia is trying to sell more of the technology that goes into each AI data center, rather than relying so heavily on its GPUs.
Networking could help support a $7.5 trillion market capitalization for Nvidia Nvidia is trading now at around 24.1 times Wall Street's fiscal 2027 earnings estimate of about $9 per share (as of Aug. 12). Analysts currently expect its earnings to increase to approximately $12.90 per share in fiscal 2028.
If Nvidia delivers on those expectations and continues to trade at roughly the same forward valuation, its market capitalization could approach $7.5 trillion, compared to roughly $5.3 trillion today. However, valuation compression would limit its upside even if earnings rise.
Still, networking is no longer a peripheral business for Nvidia. As AI factories become larger and more communication-intensive, Nvidia's ability to sell more of the infrastructure surrounding its chips could become an increasingly important part of its next phase of growth.
Nvidia uzavřela se sedmi japonskými průmyslovými giganty dohodu o fyzické AI, která má zajistit dlouhodobou poptávku po jejích čipech a softwaru. Součástí je i japonský plán investic přes 370 bilionů jenů do fyzické AI, polovodičů a datových center do roku 2040.
When Jensen Huang flew to Tokyo last month and signed seven Japanese industrial giants into Nvidia's (NVDA +3.03%) new physical AI coalition, he was locking in a massive, long-lived stream of demand for Nvidia's chips and software, and that is something I think investors should really pay attention to.
Nvidia CEO Jensen Huang. Image source: Nvidia.
"Physical AI" refers to AI that controls robots, factory lines, and machines in the real world instead of just chatbots on a screen. In mid-July, Nvidia announced that companies like Fujitsu, FANUC, Yaskawa Electric, and Kawasaki Heavy Industries, along with Hitachi, NEC, SoftBank, Sony, and Kubota, intend to build on its Cosmos, Isaac, Metropolis, and Jetson platforms as part of a "Cosmos Coalition" focused on physical AI. Put simply, these are some of Japan's biggest names in robotics, manufacturing, and communications agreeing to standardize on Nvidia's stack as they build the brains for next-generation industrial automation.
Behind the coalition sits an even larger national project. Nvidia is partnering with Noetra, a Japanese AI consortium backed by Sony, SoftBank, Honda, and dozens of other firms, to build what it calls the world's first national infrastructure for physical AI. The centerpiece of that effort will be a Vera Rubin AI factory that will feature 13,750 Vera CPUs and 27,500 Rubin GPUs, delivering about 140 megawatts of compute capacity to train and deploy physical AI models. Japan's industry ministry has framed this as the computing backbone for its FRONTia program, and expects that it will help the country hit its goal of capturing 30% of the global AI robotics market by 2040.
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What about Nvidia shareholders? On top of that, Prime Minister Sanae Takaichi's government has laid out a plan to mobilize more than 370 trillion yen ($2.3 trillion) in combined public and private investment by 2040 across physical AI, semiconductors, and data centers. Noetra's own roadmap calls for roughly 1 trillion yen ($6.3 billion) of sovereign AI spending over five years to develop domestic foundation models for robots and industrial AI. When you add up the national AI factory, the robot makers building on Cosmos, and Japan's broader tech investment targets, you are talking about demand that lives comfortably in the trillion-dollar range over the coming decades.
For Nvidia shareholders, the important part is not just that these orders exist. It is that they represent multiyear infrastructure-level commitments that are hard to unwind. FANUC and Yaskawa are not going to rip out their control platforms every cycle. A sovereign AI factory is not built for a single experiment. By turning physical AI into a coalition and tying it to Japan's long-term industrial strategy, Huang is trying to make Nvidia's chips and tools the default choice for robots and factories in one of the world's most advanced manufacturing economies.
That is what confirmed demand really means here. It is not a one-off spike in GPU sales. It is governments and industrial giants literally planning their futures around Nvidia's hardware and software, which gives its shareholders much more visibility into where revenue and profit margins might come from years down the line.
Výsledková sezóna podle Sotáka nepotvrdila žádné oslabení AI cyklu a poptávka po výpočetním výkonu dál převyšuje nabídku. Nvidia zůstává jeho první volbou.
Obsah:
00:41 AI cyklus jede dál
01:57 Návratnost investic
04:43 IPO Anthropic a OpenAI
06:02 Boj o kapitál
07:59 Compute jako nová třída aktiv
13:45 Univerzální Nvidia
21:29 Pozitivní AI obrázek
Výsledková sezóna nepřinesla jediný zásadní signál, který by zpochybňoval pokračování investičního cyklu kolem umělé inteligence. AI investiční příběh se tak po další výsledkové sezóně nejen nezhoršil, ale v některých ohledech vypadá ještě přesvědčivěji než před několika měsíci. Branislav Soták zůstává přesvědčený, že poptávka po výpočetním výkonu stále převyšuje nabídku a že současný cyklus investic do umělé inteligence má prostor pokračovat. „Za celou výsledkovou sezónu si momentálně nedokážu vybavit jediné vysloveně špatné číslo. Samozřejmě jsme místy viděli slabší reakce akcií na výsledky, ale jednotlivé indikace o stavu AI cyklu prakticky všechny ukazují, že bude pokračovat,“ říká Soták.
Kdo na AI skutečně vydělává?
Jednou z klíčových otázek současného cyklu zůstává monetizace. Podle Sotáka se paradoxně jako rizikovější část AI ekosystému profilují společnosti na jeho konci – takzvané frontier AI laboratoře, které vyvíjejí nejpokročilejší modely. Patří sem například OpenAI nebo Anthropic. Ekonomika samotných modelů je navíc pod tlakem konkurence. Open-source modely ze Západu i z Číny tlačí ceny dolů a část výpočetní zátěže se přesouvá k volně dostupným a méně výkonným modelům. To podle Sotáka znamená, že zisková marže se zatím ve větší míře přesouvá jinam. „Zatím ten profit podle všeho zůstává v hardwaru,“ říká.
Výsledková sezóna přesto přinesla pozitivní signály i ze softwarové části trhu. Soták jako výrazného vítěze zmiňuje Microsoft, přičemž velmi dobrá čísla představil také Palantir. Hodnota se tak podle něj začíná ukazovat i u firem, které vlastní infrastrukturu nebo vrstvu pod samotnými jazykovými modely.
IPO Anthropic ano, u OpenAI je Soták opatrnější
Pozornost investorů se bude soustředit také na budoucí IPO společností Anthropic a OpenAI. U první z nich je Soták výrazně optimističtější. „Anthropic je nejrychleji rostoucí firmou a podle všech indicií dokáže růst dokonce profitabilně i na frontier vrstvě, která je poměrně drahá. Pokud se dostane na trh, jeho IPO velmi pravděpodobně bude úspěšné,“ míní.
U OpenAI je naopak opatrnější. Problém podle něj není pouze v managementu, ale především v ekonomice podnikání. Firma sice rychle roste, její růst je ale velmi nákladný a spotřebovává prakticky všechny generované tržby. „OpenAI stále funguje se ztrátou a myslím, že k bodu zvratu má ještě poměrně daleko. Tady bych takovým optimistou nebyl,“ říká.
Na scénu vstupuje „compute“ jako nová třída aktiv
Případná dvě velká IPO navíc přicházejí v době, kdy se o kapitál uchází stále více projektů. Konkurence na kapitálových trzích roste nejen kvůli obrovskému americkému rozpočtovému deficitu, ale také kvůli makroekonomickému vývoji v Japonsku a financování samotné AI infrastruktury. Právě zde Soták vidí jeden z nejzajímavějších posunů posledních týdnů: Nvidia společně s velkými finančními institucemi, mezi něž patří Goldman Sachs, BlackRock či Blackstone, oznámila záměr mobilizovat až 500 miliard dolarů institucionálního kapitálu pro financování výpočetního výkonu. Výpočetní výkon by se tak mohl stát samostatně investovatelnou třídou aktiv. To může podle Sotáka zásadně změnit dostupnost a cenu kapitálu pro výstavbu datacenter.
„Třetí strany budou schopné investovat do výpočetního výkonu jako do nezávislé třídy aktiv. To je velmi zajímavé z hlediska dostupnosti kapitálu i nákladů financování,“ říká. Argumentem je podle něj i velikost potenciálního kapitálu. David Solomon z Goldman Sachs v této souvislosti upozornil, že jen v amerických money-market fondech je zaparkováno přibližně 9 bilionů dolarů, zatímco americký akciový trh má kapitalizaci kolem 100 bilionů dolarů. Kapitálu tedy podle Sotáka na trhu pravděpodobně je dostatek, jde především o to vytvořit mechanismus, který jej nasměruje do nové třídy aktiv.
V budoucnu si přitom lze představit standardizované finanční produkty navázané na výpočetní výkon – například forwardy či futures na kapacitu datacenter. „Mohou vzniknout standardizované produkty a otevřít se nový trh, který těm, kdo tuto infrastrukturu financují, zajistí větší dostupnost kapitálu a kapitál také zlevní,“ říká.
Současně ale upozorňuje, že finanční inženýrství samo o sobě neřeší otázku návratnosti. Právě zde vzniká paralela s hypoteční krizí, která je s podobnými finančními konstrukcemi historicky spojována. „Zatím tak daleko ještě nejsme. Finanční trhy jsou od toho, aby efektivně alokovaly kapitál, a většinu času to dělají poměrně dobře,“ konstatuje Soták. Riziko podle něj vzniká ve chvíli, kdy se na produktivní aktiva začne nabalovat příliš mnoho spekulace.
Zatím podle něj ale trh spíše vytváří novou investiční infrastrukturu než spekulativní bublinu. A první výsledky naznačují, že financování skutečně zlevňuje. CoreWeave například podle posledních výsledků zaznamenal meziroční pokles procentních nákladů na obsluhu dluhu.
Nvidia získává další výhodu
Nový způsob financování může být důležitý také pro samotnou Nvidii. Pokud se budou datacentra financovat jako samostatná produktivní aktiva, bude záležet na tom, jaký hardware v nich bude instalován. A právě zde má Nvidia podle Sotáka silnou pozici. Její čipy jsou univerzální a podporují širokou škálu modelů. Nad hardwarem navíc stojí softwarová vrstva CUDA, která umožňuje výkon dále optimalizovat.
Ještě důležitější je podle něj skutečnost, že Nvidia je ochotna poskytnout záruky za část financování. Pokud by nebyla dostatečná poptávka po nově vybudovaných kapacitách, Nvidia by podle oznámení převzala reziduální hodnotu části hardwaru. To přímo míří na jeden z hlavních argumentů medvědů kolem AI. Ti upozorňují, že hardware může zastarávat rychleji, než se investice vrátí.
Praxe ale podle Sotáka začíná ukazovat něco jiného. Hyperscaleři původně počítali s užitečnou životností GPU serverů kolem tří let, dnes ji řada z nich prodlužuje až na šest let. CoreWeave navíc uzavřel kontrakt na cluster postavený na čipech Nvidia A100 z roku 2020, který má trvat až do roku 2029. „To znamená, že i devět let po uvedení a instalaci čipu si tento hardware stále najde ekonomické využití. To poměrně výrazně nabourává tezi o rychlé depreciaci a negativním dopadu na profitabilitu,“ upozorňuje Soták.
Dalším argumentem je vývoj cen za pronájem GPU výkonu. U čipů H100 podle Nvidie vzrostla cena zhruba z 1,70 dolaru za GPU hodinu v roce 2025 na 2,40 dolaru. U novějšího Blackwellu se ve stejném období cena zvýšila přibližně z 5,30 na 7 dolarů. Podle Sotáka to podporuje tezi, že AI datacentrum není pouze rychle zastarávající hardware, ale může představovat produktivní aktivum, jehož výnosnost se díky růstu poptávky, cenové síle a technologickému pokroku zvyšuje.
Nvidia zůstává první volbou
Pokud jde o samotné investice do polovodičového řetězce, Soták v současnosti nevidí důvod hledat složitější alternativu. „Pokud se bavíme o poměru očekávaného nebo viditelného růstu a ceny, byla by to v tuto chvíli Nvidia. Moc bych nespekuloval s jinými jmény a volil bych lídra,“ říká. Nvidia je podle něj výjimečná tím, že má expozici na více částí dodavatelského řetězce. A zatímco se často hovoří o jednotlivých úzkých hrdlech, jejich význam je nakonec odvozen od samotné poptávky po výpočetním výkonu. Tu Nvidia stále ve velké míře obsluhuje.
Nová generace Vera Rubin by navíc měla podle Sotáka nabíhat do výroby rychleji než Blackwell. „Tempo růstu, které je enormní z té velké báze, na které Nvidia je, se pravděpodobně ani v dohledné době výrazně nezpomalí,“ domnívá se.
Příležitosti vidí ale i v síťové a optické infrastruktuře. Výsledky společností Lumentum a Coherent by měly přinést další indikaci o síle této poptávky. Rychlejší datová centra podle Sotáka totiž narážejí na fyzikální limity měděných spojů, což podporuje přechod k optickým technologiím. Valuace těchto firem jsou ovšem podle něj oproti Nvidii na jiné úrovni.
AI cyklus zůstává v dobré kondici
Celkový obrázek po výsledkové sezóně je tak podle Sotáka pozitivní. A možná ještě pozitivnější než na jejím začátku. Důležitá je přitom nejen síla jednotlivých firem, ale skutečnost, že AI komplex má dnes výrazný vliv na celý akciový trh. Když se v červenci AI segment otřásl, otřásl se podle Sotáka i celý trh. „Celková zpráva o stavu AI cyklu je z mého pohledu i po této výsledkové sezóně velmi pozitivní a možná pozitivnější, než byla na jejím začátku,“ uzavírá.
CoreWeave uzavřel smlouvu na GPU Nvidia A100 až do roku 2029, což ukazuje, že i starší čipy mohou dál vydělávat. Firma tvrdí, že jejich životnost může být delší, než investoři čekají.
Wall Street’s AI conversation has become fixated on Nvidia Corp‘s (NASDAQ:NVDA) newest chips. CoreWeave, Inc. (NASDAQ:CRWV), however, used its second quarter earnings call to make a different point: older GPUs may have far more earning power than investors think.
The cloud infrastructure provider revealed it recently signed a customer contract for Nvidia’s A100 GPUs that extends through 2029—nearly a decade after the chip debuted.
More importantly, management suggested this isn’t an exception but evidence that AI infrastructure can continue generating attractive returns long after its first deployment.
CoreWeave Sees Long-Term Value in Older Nvidia GPUsThe clearest indication came from CFO Nitin Navin, who highlighted the longevity of one of the company’s latest deals. “We recently signed an A100 contract that extends into 2029 at an attractive price. As a reminder, this SKU was introduced in 2020,” Navin said.
CEO Michael Intrator expanded on that point, arguing the contract offers a glimpse into how AI infrastructure could be monetized over a much longer period than many investors currently assume.
“The fact that we have been able to go ahead and sell a GPU whose architecture was from 2020 in a contract that was fully priced out to 2029 really provides some insight into what the future is going to look like,” Intrator said.
Those comments challenge a common assumption in the AI infrastructure market—that each new generation of Nvidia chips quickly renders older hardware economically obsolete.
Instead, CoreWeave is signaling that mature GPUs can continue attracting customers if the workload and pricing remain attractive.
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CoreWeave’s GPU Strategy Goes Beyond the First ContractThe company also hinted that older hardware could generate revenue more than once.
Navin said every time an existing GPU is renewed or redeployed after its initial contract, the revenue comes on top of returns already earned during the original lease. “Every resale or renewal is incremental on top of the returns already earned within the initial term,” he said.
Intrator added that managed inference—a business the company expects to surpass $250 million in annual recurring revenue by the end of 2026—offers another avenue for putting GPUs coming off contract back to work rather than leaving them idle.
For investors, the takeaway extends beyond a single A100 contract. If CoreWeave can consistently renew, redeploy or repurpose older GPUs into new customer agreements and inference workloads, the economic life of its infrastructure could prove much longer than many expect.
That would allow the company to generate additional returns from assets already on its balance sheet. A dynamic that could become increasingly important as the AI market moves beyond the race for the latest chips and toward maximizing the value of existing GPU fleets.
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Meta a Nvidia tento týden vydaly vývojářům zdarma otevřené modely AI, čímž se postavily proti uzavřeným modelům OpenAI a Anthropic. Meta zároveň vrací své nejvýkonnější modely do open-source ekosystému.
Last month, American tech giants came together to urge policymakers not to place "premature restrictions" on open-weight AI models, even if they're from China. Now, two of those companies are making a concerted effort to compete by introducing their own open offerings.
Meta and Nvidia both released artificial intelligence models this week that are available for developers to download for free via the open-source ecosystem, a contrast to the popular proprietary models from OpenAI and Anthropic.
Open-source AI has become a contentious topic from Silicon Valley to Washington, D.C., with critics raising concerns about the potential national security risks of Chinese models, and of the AI training practice called distillation, which can be viewed as a form of intellectual property theft. Meanwhile, most of the industry's leading players contend that restricting use of the models would be to our own detriment and would place too much power in the hands of too few companies.
"The age of AI can be one of prosperity," the consortium of tech companies wrote in an open letter on July 24. "With the right choices, open weight AI can expand opportunity, strengthen competition, extend American technological leadership, mitigate risk, and ensure that the benefits of this extraordinary technology are shared broadly across our economy."
As for distillation, they call it "a widely used technique for model improvement, evaluation, and validation."
watch now
Meta on Monday released Muse Glimmer as part of a strategy to release its most powerful AI models to the open-source community. CEO Mark Zuckerberg said the company would open the weights for its latest AI model, Muse Spark 1.2. Weights refer to the calculations and rules that determine how the AI works and behaves.
A day later, Nvidia debuted Nemotron 3.5 Lightning. The model stems from the company's Nemotron 3 family of models released in December. The chipmaker said its models are "truly open source," because the company publishes the related "training datasets, techniques, and model weights" for developers to inspect.
Both companies still have to prove there's an audience for their offerings in a market featuring popular models from Chinese AI labs like Moonshot AI and DeepSeek, as well as Alibaba's Qwen.
Box CEO Aaron Levie, one of the signatories of last month's letter, is optimistic. He said Zuckerberg's plan for Muse Spark 1.2 is a "very big deal" because it's a powerful model that rivals top foundation models from Anthropic and OpenAI. The models this week from Meta and Nvidia are smaller and intended to run on laptops for tasks like powering on-device digital agents.
"There's a very firm flag in the ground that America will have near-frontier open-source models," Levie said.
Meta has tried this route in the past with Llama. That was Zuckerberg's initial entry into the foundation AI market, but the release of Llama 4 in April 2025 left developers unimpressed. Meta followed by spending billions of dollars to overhaul its AI unit, installing Scale AI CEO Alexandr Wang as the division's leader.
Recently, Wang's group has been rolling out proprietary models under the Muse branding to try and develop new revenue streams.
'Tremendous amount of potential'Levie said that companies put off by using Chinese open-weight AI models would be more inclined to experiment with Meta's upcoming variant.
"You probably wouldn't be able to put a non-domestic open-source model in a major government agency, as an example, and you wouldn't be able to use it at very large banks most likely," Levie said. "If you think about the kind of use cases that now Muse can be used in, it actually opens up a tremendous amount of potential."
Still, Meta in particular faces some headwinds as it pursues yet another open-source strategy. Umesh Sachdev, CEO of business AI startup Uniphore, said Meta burned bridges with third-party developers when it shifted from open weight to proprietary AI models.
"I think it's going to take more than a 3,500 worded article from Zuck to convince developers," Sachdev said regarding Zuckerberg's accompanying manifesto this week. "The emotion of my developers at Uniphore, they almost feel betrayed."
But Sachdev said he's rooting for domestic companies to succeed, "because more competition will drive down token cost, and will drive up innovation, and it's always good for consumers."
It's a sentiment shared by Forrester analyst Charlie Dai. He called Meta's latest move "strategically important because it restores a major U.S. frontier AI vendor to the open ecosystem."
"Developers and enterprises will likely welcome Meta's shift back toward open weights because it improves transparency, customization, deployment flexibility, and data sovereignty," Dai said. Now, the company must "prove it can cultivate a durable ecosystem beyond releasing competitive models," he said.
WATCH: Meta's new AI model is a "positive development for the ecosystem."
Polymarket dává NVIDIA jen 9% šanci, že na konci měsíce zavře nad 260 USD, proti 50 % před měsícem. Akcie jsou před výsledky za 2. čtvrtletí, které přijdou později v srpnu.
Even as NVIDIA Corp.’s (NASDAQ:NVDA) shares surge in August, cryptocurrency punters remain skeptical that the stock will finish the month at or above $250.
Polymarket Wagers on NVDAThe betting crowd on Polygon (CRYPTO: POL)-based Polymarket currently assigns only a 9% chance to the possibility, down from 50% a month ago.
The odds of NVDA ending above $260 also remained at 9%. Punters put the odds at 62% for a close above $210 on Aug. 31, and 87% for a close above $190. The prediction market was pricing a 99% probability that the stock would close above $140.
The stock closed at $200.75 on the last trading day in July, and has gained 8.34% month-to-date. It closed at $223.96 last week, but has since retraced.
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NVIDIA, often viewed as the definitive gauge of AI sector, is set to release its second-quarter results later on Aug. 26, making the month pivotal for the stock.
Analysts expect the company to report earnings per share of $2.07, up nearly 100% year-over-year. The firm is expected to report revenue of $91.82 billion, a 96% increase from the same quarter last year.
Investors are waiting to see if earnings beat expectations, and whether that catalyst is enough to push shares higher.
The stock carries a consensus “Buy” rating from 30 analysts, with an average price target of $313 and a third-quarter target of $323.
Price Action: NVIDIA shares rose 0.25% in after-hours trading after closing 0.02% lower at $217.50 during Tuesday’s regular trading session, according to data from Benzinga Pro. Year-to-date, the stock has rised 16.64%.
Benzinga Edge Stock Rankings indicate that NVDA maintains a stronger price trend across short-, medium-, and long-term timeframes, supported by elevated Value and Growth scores.
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NVIDIA uvedla, že SpaceX chce do konce roku 2027 zvýšit kapacitu datových center na 10 gigawattů a pracovat výhradně s NVIDIA. To může podpořit růst, ale zároveň zvyšuje riziko koncentrace.
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At $218.10, NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) trades in a range where risk and reward are closely balanced. The chip giant sits at the intersection of the largest capital cycle in tech history and a growing debate over whether that movement is starting to look like a bubble. The same buildout powering NVIDIA’s growth is also feeding the case against it.
NVIDIA designs the accelerated computing platform that powers essentially every frontier AI model in production. The Data Center segment now represents 92% of total revenue, and the customer list reads like a who’s who of hyperscale AI: Meta, OpenAI, Google Cloud, Microsoft, Oracle, Anthropic, and xAI. The stock has climbed to a $5.42 trillion market cap on four consecutive earnings beats and margins near record highs.
Why the Musk Moonshot Could Push NVDA Toward $500 On SpaceX’s first earnings call, Elon Musk told investors he wants to scale data center capacity from roughly 1.4 gigawatts today to 10 gigawatts by year-end 2027. Research firm SemiAnalysis estimates the buildout at $50 billion per gigawatt annually, or $300 billion to $500 billion in 2027 capital spending alone, and considers the target achievable. Here’s the rub: Musk said SpaceX would work exclusively with NVIDIA, a decision SemiAnalysis ties to expected vendor-financing support.
That thesis is reinforced by the recent $500 billion financing partnership NVIDIA announced with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to underwrite AI factory buildouts. Layer even $150 billion to $200 billion in incremental SpaceX orders onto NVIDIA’s accelerating trajectory, including Q2 guidance of $91 billion, up roughly 34% year over year, and the path to a $500 share price becomes a math problem.
Why the Same Moonshot Could Crack the Stock The problem is scale. A single customer proposing capex on par with AWS and Google combined, at a company far less profitable than either, is exactly the kind of concentration risk bears have salivated over. NVIDIA’s $119 billion pipeline in supply commitments already assumes the AI capex party continues. If SpaceX funding tightens or hyperscalers slow orders to digest capacity, the demand cliff is real.
Valuation leaves no room for error. Shares trade at roughly 34x trailing earnings and 26x forward, with net insider selling across 27 recent transactions. Bears also point to zero China Data Center compute in the Q2 guide and the reality that AMD (NASDAQ:AMD) is courting the same hyperscalers with its MI450 roadmap.
Why Patience Is Winning the Argument Today The fundamentals are extraordinary. Nvidia’s revenue grew 85.2% YoY last quarter to $81.61 billion, gross margin sits at 75.0%, and free cash flow hit $48.55 billion in a single quarter. Yet the stock has been range-bound, up just 3.12% over the past month even as guidance accelerated.
Investors want confirmation, not projection. They want to see the OpenAI 10GW, Meta multi-generation, and SpaceX gigawatt commitments convert to booked orders on schedule. Until then, buyers and sellers are canceling each other out.
What the Numbers Actually Say NVIDIA currently trades at $217.43. The Wall Street consensus target is $302.83, implying roughly 37.6% upside. Coverage is heavily skewed bullish, with 10 Strong Buy, 48 Buy, 2 Hold, and 1 Sell ratings.
Year to date, NVDA is up 16.6%, edging the S&P 500’s 13.36% gain but trailing AMD’s 121.4% surge as the market prices in a genuine second source. Polymarket traders assign a 51.5% probability that shares close August above $220 and just 9.5% above $250.
The Verdict on NVIDIA at $217.43 At $217.43, the risk/reward on NVIDIA looks balanced.
The setup cuts both ways. If SpaceX directs even a fraction of its projected $300 billion to $500 billion in 2027 capital spending toward NVIDIA, with support from the Apollo and BlackRock financing platform, revenue estimates get rewritten higher and a $500 share price becomes a serious 12- to 18-month conversation. If Musk’s gigawatt math slips, funding stalls, or hyperscalers pause to digest capacity, the same $119 billion in supply-related commitments that looks visionary today starts looking like demand risk.
The right posture is patience with clear triggers. Bullish confirmation would require firm procurement commitments for the SpaceX buildout and continued NVIDIA Data Center growth above 60% into fiscal 2028. Bearish confirmation would call for a hyperscaler capital-spending cut, a material Blackwell delay, or evidence that the $500 billion financing platform is struggling to place capital. Watch NVIDIA’s quarterly Data Center growth, gross margin, and the pace at which announced megadeals convert into bookings.
When a single customer’s buildout can move a $5 trillion stock by $80 in either direction, waiting for the picture to develop is the prudent call.
Contact [email protected] for any questions or corrections.
NVIDIA uvádí CPU Vera pro agentní AI, který má být až 1,8× rychlejší než x86 procesory a míří na serverový trh. Platformu plánují přijmout Anthropic, OpenAI i SpaceX.
Key Takeaways NVIDIA's Vera CPU is up to 1.8 times faster than x86 processors on workloads and targets agentic AI.Vera integrates NVIDIA CPUs, GPUs, networking and software to support complete AI systems for customers.Anthropic, OpenAI and SpaceX plan to adopt Vera, while major hardware vendors prepare Vera-based systems. NVIDIA Corporation (NVDA - Free Report) is taking a bigger step into the CPU (Central Processing Unit) market with its Vera processor, designed specifically for agentic artificial intelligence (AI) workloads. The move could give NVIDIA another growth engine while increasing pressure on established server CPU leaders Intel Corporation (INTC - Free Report) and Advanced Micro Devices, Inc. (AMD - Free Report) .
NVIDIA’s Vera CPU is up to 1.8 times faster than x86 processors on workloads. The Vera CPU is designed to work closely with NVIDIA GPUs (graphics processing units), networking and software, allowing customers to build complete AI systems rather than relying on separate CPU and accelerator platforms. This integrated approach could be particularly attractive as AI agents require more computing power for reasoning, planning and data processing.
Vera CPU is also gaining support from major technology companies. Anthropic, OpenAI and SpaceX are among the AI organizations planning to adopt the platform, while Dell Technologies, Hewlett Packard Enterprise Company, Lenovo and Super Micro Computers are preparing Vera-based systems.
NVIDIA’s AI ecosystem gives Vera CPU an additional advantage and could help it gain meaningful server CPU share. The traction of Vera CPU will further boost NVIDIA’s data center end-market business. The company’s data center revenues reached a record $75.25 billion in the first quarter of fiscal 2027, rising 92% year over year.
Analysts’ projections suggest that the growth momentum in the data center business will continue. The Zacks Consensus Estimate for NVIDIA’s data center revenues is pegged at $363.78 billion, indicating year-over-year growth of approximately 88%.
NVIDIA’s Rivals Have Deep CPU Expertise to Defend Their LeadNVIDIA’s Vera CPU enters a market where Advanced Micro Devices and Intel have established customer relationships and large server CPU businesses.
AMD is the more direct growth challenger. Its data center revenues surged 107% year over year to $6.72 billion in the second quarter of 2026, driven by strong demand for EPYC processors and Instinct GPUs. Advanced Micro Devices is also seeing rising demand from AI workloads, including agentic AI, which directly overlaps with Vera’s target market. Its broad CPU-and-GPU portfolio gives customers an alternative to NVIDIA’s integrated platform.
Intel remains a major force in server CPUs through its Xeon portfolio. Its data center and AI business generated $6.26 billion in the second quarter of 2026, up 59% year over year. Intel’s latest Xeon processors are also designed to handle AI workloads, helping the company defend its position as AI increases demand for high-performance CPUs.
NVIDIA has an important advantage because Vera is designed to work closely with its GPUs, networking and software. However, AMD’s rapid growth and Intel’s large installed base mean NVIDIA will need to prove that Vera can deliver clear performance and efficiency benefits before it can seriously disrupt the CPU market.
NVIDIA’s Price Performance, Valuation and EstimatesShares of NVIDIA have risen around 16.6% year to date, underperforming the Zacks Computer and Technology sector’s gain of 18.1%.
NVIDIA YTD Price Return Performance
Image Source: Zacks Investment Research
From a valuation standpoint, NVDA trades at a forward price-to-earnings ratio of 19.93, below the sector’s average of 21.59.
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 90.6% and 38.3%, respectively. Estimates for fiscal 2027 and 2028 have been revised upward over the past 30 days.
Image Source: Zacks Investment Research
NVIDIA currently carries a Zacks Rank #2 (Buy). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.
Nvidia vykázala ve 1. fiskálním čtvrtletí roku 2027 tržby 81,61 mld. USD, z toho 75,25 mld. USD v datových centrech. Apple oznámila tržby 109,4 mld. USD a nejlepší červnové čtvrtletí v historii.
NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) and Apple (NASDAQ:AAPL) just delivered earnings that frame the two dominant bets in tech today.
Nvidia posted $81.61B in Q1 FY27 revenue with Data Center at $75.25B. Apple countered with $109.4 billion in Q3 FY26 revenue and its strongest June quarter ever. One sells the shovels. The other sells the finished product.
AI Factories Carry Nvidia. iPhone and Services Carry Apple. Nvidia’s quarter was almost entirely a Data Center story. Compute rose 77% and networking, powered by InfiniBand, NVLink and Spectrum-X, jumped 199%. Jensen Huang told investors “the buildout of AI factories, the largest infrastructure expansion in human history, is accelerating at extraordinary speed.”
Hyperscalers still represent roughly 50% of that segment, with sovereign AI programs and enterprise deployments filling in behind them. Non-GAAP gross margin hit 75%, and free cash flow reached $48.55B.
Apple’s engine looked different. iPhone revenue climbed to $54.252 billion, Services set a June quarter record at $30.7 billion, and paid subscriptions crossed 1.5 billion.
Tim Cook called it “our strongest June quarter ever, with double-digit revenue growth across iPhone, Mac and Services, and in every geographic segment.” A tariff refund added roughly 2 percentage points to gross margin and $0.11 to EPS, which is a one-time gift worth remembering.
Picks and Shovels vs. the Consumer Ecosystem Lens NVIDIA Apple Core Bet AI factories, agentic compute iPhone cycle, Services, on-device Siri AI Growth Rate +85.2% YoY revenue +16.36% YoY revenue Gross Margin ~75% non-GAAP ~50.1% Key Vulnerability China export controls, zero H20 revenue Memory cost inflation, tariff policy Nvidia is scaling Blackwell 300, Vera Rubin and BlueField-4 into every hyperscaler and sovereign AI cluster. Apple is monetizing an installed base above 2.5 billion active devices while rolling out Siri AI to WWDC26 developers.
Cook framed the differentiator as “the unique combination of massive unified memory bandwidth, industry-leading power-efficient performance, and deep on-device intelligence.”
Kevan Parekh flagged a “100-year flood on the memory pricing” that could pressure September quarter margins to 47%-48%. Nvidia has its own supply worry: $119B in purchase commitments tied to TSMC capacity.
The Next Test Is Guidance Nvidia guided Q2 FY27 to $91B in revenue, excluding any China Data Center compute. Prediction markets on Polymarket now imply a 97.2% probability that Data Center clears $80B, but only 19.5% for $90B. That is a narrow beat lane.
Apple guided September quarter growth of 9%-11%, constrained by advanced-node SoC supply that Cook attributed to “a demand forecast issue” rather than a shortage. I want to see whether Siri AI actually pulls subscribers up the iCloud+ stack, and whether Nvidia’s networking growth holds once Blackwell shipments normalize.
Why I Lean Nvidia for Growth, Apple for Ballast If I had to pick one, I would still tilt toward Nvidia for the growth sleeve. A P/E of 34 against +85% revenue growth and 75% margins looks rich, yet the earnings power is compounding faster than the multiple.
Apple, trading at a P/E of 36, fits the defensive investor better. The $62.094 billion in nine-month buybacks and the Services flywheel offer stability that Nvidia cannot match. If memory costs stay elevated into 2027, or China export rules loosen for H20, my ranking could flip fast.
Contact [email protected] for any questions or corrections.
Nvidia vyvíjí novou rodinu open-source AI modelů Nemotron 4 s cílem konkurovat nejlepším modelům na světě. Největší verze má mít alespoň 1 bilion parametrů.
The NVIDIA logo in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration Purchase Licensing Rights, opens new tab
Aug 11 (Reuters) - Nvidia (NVDA.O), opens new tab is developing a new AI model family, Nemotron 4, with the goal of rivaling top open-source models globally, The Information reported on Tuesday, citing people who work on the project.
The chip giant is among the few major U.S. firms to release open-source models, which have drawn more attention this year as AI bills balloon and cheap Chinese models near the capabilities of top systems from leading American labs Anthropic and OpenAI.
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A spate of recently disclosed hacks involving autonomous AI agents has added to the attention, especially because open models do not have curbs on cybersecurity use.
The largest Nemotron 4 model is expected to have at least 1 trillion parameters, according to multiple employees working on the project, The Information reported.
Nvidia has not set a release date for Nemotron 4 and has yet to complete final training, though employees said the model could be ready as early as late fall, according to the report.
The company did not immediately respond to a Reuters request for comment on the report.
Nvidia last month formed a coalition with other companies to develop and share tools for AI safety and cybersecurity. It also signed an open letter with tech heavyweights such as Microsoft (MSFT.O), opens new tab backing open-weight models so that innovation does not drift overseas.
Separately on Tuesday, the chip firm unveiled Nemotron 3.5 Lightning, an addition to its offerings aimed at code review, tool use, security alert monitoring, answering billing questions and other tasks.
It also released NeMo Switchyard, an open-source model-routing library designed to automatically direct AI tasks to the most suitable models.
Late last year, the chip giant unveiled the third generation of its family of open-source models as offerings from Chinese AI labs proliferated.
Reporting by Anhata Rooprai in Bengaluru; Editing by Pooja Desai
Our Standards: The Thomson Reuters Trust Principles., opens new tab
Nvidia pomáhá Hippocratic AI provozovat více než 25 úloh specifických modelů na GPU H200 a zvyšovat efektivitu díky TensorRT-LLM. Cílem je získat více „inteligence za dolar“.
The next AI winner may not be the company with the biggest model. It could be the company that figures out how to get more useful AI for every dollar it spends. Nvidia Corp. (NASDAQ:NVDA) is helping shape that shift by powering more efficient, task-specific AI systems that aim to squeeze more performance out of every GPU cycle.
DigitalOcean Holdings Inc. (NYSE:DOCN) CEO Paddy Srinivasan told Benzinga in an exclusive email interview that AI builders are increasingly mixing different models for different jobs rather than relying exclusively on expensive frontier systems from companies such as OpenAI and Anthropic.
"We believe in: right model, right cost, for every task," Srinivasan said.
He pointed to healthcare AI company Hippocratic AI as an example, saying AI builders like Hippocratic "get better intelligence per dollar" as they optimize across models.
Hippocratic’s connection to Nvidia makes that strategy particularly interesting. Nvidia says Hippocratic’s Polaris architecture runs more than 25 task-specific AI models on Nvidia H200 GPUs, while its TensorRT-LLM software makes those models faster, smaller and more efficient, lowering costs and allowing more conversations to run on the same hardware.
The AI Model Doesn’t Have to Be the Most ExpensiveSrinivasan said frontier models are typically needed for only about 25% of the job, mainly the hardest reasoning or specialized use cases. The remaining 75% can often be handled by open-weight models, which can offer lower-cost alternatives for less demanding tasks.
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That creates a different optimization problem for AI companies.
Instead of asking which model is the smartest, they can ask which model is smart enough for a particular task at the right price.
"Most AI Native companies today are already multi-model," Srinivasan said. "They all have a mixture of models and route specific prompts to the right model."
DigitalOcean’s Inference Engine is designed to route workloads based on factors including performance, latency, cost and customer preference.
Hippocratic Shows Why Nvidia’s Hardware MattersHippocratic is a useful example because its healthcare AI requires real-time responses while handling safety-sensitive conversations.
The company’s Polaris system runs on Nvidia H200 GPUs and uses more than a trillion parameters across its model constellation. The goal isn’t simply to use the most powerful hardware or model available. It is to make the entire system more efficient so Hippocratic can handle more interactions without proportionally increasing its computing costs.
That is the strategy behind Srinivasan’s "intelligence per dollar" argument.
‘Intelligence Per Dollar’ Could Become the New AI MetricNvidia itself has increasingly emphasized the economics of AI, often focusing on concepts like performance per dollar and the cost efficiency of AI compute to describe the value businesses can get from their computing investments.
That could change how investors view the AI race.
The industry’s first phase was dominated by model size, training costs and the race to build increasingly powerful systems. As AI moves into everyday business applications, however, the economics of actually running those models become harder to ignore.
If companies can use a mix of models and optimize the infrastructure underneath them, the winners may not necessarily be the companies with the biggest AI models.
They could be the companies that figure out how to get the most useful intelligence for every dollar of compute.
Read Next
Image courtesy of DigitalOcean Holdings Inc
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Nvidia uvedla Nemotron 3.5 Lightning, svůj první open-source AI model od doby, kdy se Jensen Huang připojil k většině svých technologických kolegů a vyzval vládu USA k podpoře otevřených modelů. Firma říká, že je „lightweight“, zdarma ke stažení, úpravám i použití a běží na jediném GPU v PC.
In late July, Nvidia CEO Jensen Huang posted on X for the first time to defend open-source models in artificial intelligence, inserting himself into a debate that was raging across the industry.
Less than three weeks later, Nvidia is releasing Nemotron 3.5 Lightning, which the company says is "lightweight" and can run on a single graphics processing unit on a PC. It's Nvidia's first open-source model since Huang joined most of his tech peers in urging the U.S. government to support open models while "avoiding premature restrictions" that could push innovation overseas.
The new Nemotron offering is free for companies to download, use and modify without getting permission or paying Nvidia.
For Nvidia, open-source AI is a boon for chip sales, because the models still need to run on GPUs, and the lower prices can serve to boost usage over proprietary models from the likes of OpenAI and Anthropic.
"Free AI should be great for hardware," Huang told Axios in an interview last month. "Free AI should be great for chips."
Huang jumped headfirst into a debate that had sprung up in Washington following the announcement of Kimi K3, a model developed by China's Moonshot AI that narrowed the gap with the most powerful American models. Politicians worried that Kimi K3 was potentially troublesome for national security, and that it represented intellectual property theft via a technique called distillation, which involves the use of answers from an advanced AI model's service to train a lighter model.
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Policymakers questioned whether Chinese model developers could be subject to sanctions or other restrictions, similar to the rules placed on chip sales.
Huang posted an open letter, which argued that open-weight models allow companies greater control over their future, spur competition and bring down pricing.
"Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty," Huang wrote in his debut X post.
Days later, Nvidia launched an AI safety consortium with companies including Microsoft that would focus on using open models and open-source software for cybersecurity.
Open-source AI is one of the hottest topics in Silicon Valley. On Monday, Meta CEO Mark Zuckerberg published a lengthy manifesto arguing for open-source AI, as his company released a coding model called Muse Spark.
"Our goal should be for American open source models to be the best globally," Zuckerberg wrote.
Nvidia said companies including CrowdStrike, CodeRabbit and Harvey have tested and customized its latest model. The chipmaker said it was developed particularly for agents, or AI programs that can run autonomously in the background.
Nemotron 3.5 Lightning will also be available on HuggingFace and Nvidia's website. Additionally, Nvidia released software called NeMo Switchyard that can determine the cheapest and most appropriate AI model for any given task.
Nvidia representatives said Monday that the company had used distillation to give Nemotron 3.5 Lightning similar capabilities to its larger Nemotron models.
Axiom Investment Management LLC v 1. čtvrtletí koupila nový podíl ve společnosti NVIDIA a pořídila 14 096 akcií za zhruba 2,458 milionu USD. Akcie NVIDIA zároveň v úterý klesly o 2,9 %.
Axiom Investment Management LLC purchased a new stake in NVIDIA Corporation (NASDAQ:NVDA – Free Report) in the first quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission. The institutional investor purchased 14,096 shares of the computer hardware maker’s stock, valued at approximately $2,458,000. NVIDIA comprises about 1.9% of Axiom Investment Management LLC’s holdings, making the stock its 11th biggest holding.
Other hedge funds have also recently bought and sold shares of the company. Norges Bank purchased a new stake in NVIDIA in the 4th quarter valued at about $62,244,133,000. J. Stern & Co. LLP grew its stake in NVIDIA by 13,709.1% in the 4th quarter. J. Stern & Co. LLP now owns 125,760,307 shares of the computer hardware maker’s stock valued at $23,454,297,000 after purchasing an additional 124,849,603 shares during the period. Cardano Risk Management B.V. increased its position in shares of NVIDIA by 896.4% during 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 purchasing an additional 70,283,539 shares during the last quarter. Capital Research Global Investors raised its stake in shares of NVIDIA by 16.1% during the 3rd quarter. Capital Research Global Investors now owns 165,377,852 shares of the computer hardware maker’s stock worth $30,855,564,000 after purchasing an additional 22,896,705 shares during the period. Finally, Laurel Wealth Advisors LLC raised its stake in shares of 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 worth $3,454,534,000 after purchasing an additional 21,725,326 shares during the period. 65.27% of the stock is owned by hedge funds and other institutional investors.
Insiders Place Their Bets In other news, Director John Dabiri sold 625 shares of the 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 sale, the director directly owned 14,163 shares of the company’s stock, valued at approximately $3,030,882. This represents a 4.23% decrease in their ownership of the stock. The sale was disclosed in a filing with the SEC, which can be accessed through the SEC website. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Mark A. Stevens sold 885,000 shares of the firm’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 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. Additional details regarding this sale are available in the official SEC disclosure. Insiders sold a total of 1,901,125 shares of company stock worth $410,583,015 in the last quarter. 3.94% of the stock is owned by company insiders.
NVIDIA Stock Down 2.9% NVIDIA stock opened at $217.55 on Tuesday. NVIDIA Corporation has a 1-year low of $164.07 and a 1-year high of $236.54. The firm has a market capitalization of $5.26 trillion, a price-to-earnings ratio of 33.32, a P/E/G ratio of 0.44 and a beta of 2.23. 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 firm has a 50 day simple moving average of $205.53 and a 200 day simple moving average of $197.54.
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, 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 the consensus estimate of $78.42 billion. During the same quarter in the prior year, the business posted $0.81 earnings per share. The business’s quarterly revenue was up 85.2% on a year-over-year basis. On average, analysts predict that NVIDIA Corporation will post 8.79 earnings per share for the current year.
NVIDIA announced that its board has authorized a stock buyback plan on Wednesday, May 20th that authorizes the company to buyback $80.00 billion in outstanding shares. This buyback authorization authorizes the computer hardware maker to buy up to 1.5% of its stock through open market purchases. Stock buyback plans are generally an indication that the company’s board believes its stock is undervalued.
NVIDIA Increases Dividend The business also recently disclosed 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 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 dividend on an annualized basis and a yield of 0.5%. NVIDIA’s payout ratio is currently 15.31%.
Analyst Upgrades and Downgrades Several equities analysts recently weighed in on the stock. Rothschild & Co Redburn increased their price target on shares of NVIDIA from $280.00 to $300.00 and gave the company a “buy” rating in a research report on Tuesday, May 26th. CICC Research increased their target price 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. Jefferies Financial Group restated a “buy” rating and set a $300.00 price target (up from $275.00) on shares of NVIDIA in a research note on Thursday, May 21st. KeyCorp reaffirmed an “overweight” rating and issued a $330.00 price target (up from $310.00) on shares of NVIDIA in a report on Tuesday, July 14th. Finally, Argus upped their price objective on NVIDIA from $220.00 to $270.00 and gave the company a “buy” rating in a research note 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 data from MarketBeat, the stock has an average rating of “Buy” and a consensus target price of $304.26.
Get Our Latest Stock Analysis on NVIDIA
Key Stories Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: NVIDIA is reportedly partnering with Apollo Global Management, Blackstone, BlackRock’s Global Infrastructure Partners, Brookfield, Goldman Sachs and KKR on an AI infrastructure financing effort targeting up to $500 billion. The initiative could accelerate data-center construction and support future demand for NVIDIA’s GPUs. Nvidia teams up with Wall Street asset managers on $500 billion AI infrastructure push Positive Sentiment: Bank of America maintained a Buy rating and $350 price target, projecting second-quarter revenue of $94 billion to $95 billion—potentially $3 billion to $4 billion above NVIDIA’s guidance—and forecasting a “multi-quarter upgrade cycle.” BofA: Nvidia’s next earnings report could kick off a multi-quarter upgrade cycle Positive Sentiment: Analysts remain constructive ahead of the August 26 earnings report, citing expected $91 billion of quarterly revenue, gross margins near 75%, strong Data Center demand and continued adoption of Blackwell systems. Nvidia: Buy Before Q2 Shows The AI Factory Trade Is Still Early Neutral Sentiment: NVIDIA is reportedly considering investing as much as $3 billion in Lancium, an AI data-center power infrastructure company. The investment could strengthen NVIDIA’s ecosystem position, but it also adds to questions about how much capital the chipmaker should devote to investments instead of share buybacks. Nvidia Stock Slips as Its AI Investments Draw Fresh Scrutiny Negative Sentiment: Investors are increasingly focused on NVIDIA’s expanding role in financing the AI buildout. Mark Cuban compared the strategy with dot-com-era companies that funded customers, raising concerns that financing could amplify concentration and credit risks if AI spending fails to generate adequate returns. Mark Cuban warned Nvidia’s AI financing could crumble the market Negative Sentiment: Reports that Microsoft is reconsidering its reliance on NVIDIA in favor of internally developed AI silicon highlight a potential long-term customer-concentration and pricing risk, even though near-term demand remains robust. Microsoft rethinks its Nvidia reliance 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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Nvidia před výsledky za 2. čtvrtletí cílí na tržby 91 mld. USD a hrubou marži kolem 75 % bez čínského datacentrového výpočetního byznysu. To podporuje tezi o silné poptávce po AI.
SummaryNvidia Corporation remains a Strong Buy ahead of Q2 earnings, driven by robust Data Center growth and margin durability.NVDA's Q2 guidance targets $91B revenue with gross margin near 75%, excluding China Data Center compute, reinforcing the core bull thesis.Exceptional profitability, platform control, and multi-source AI demand justify NVDA's premium valuation despite elevated expectations and ongoing China risks.Key NVDA risks include hyperscaler spending slowdown, competitive advances, and further China export restrictions, but current fundamentals remain compelling. BING-JHEN HONG/iStock Editorial via Getty Images
Nvidia Corporation (NVDA) isn’t an undiscovered AI stock, and that’s exactly why many investors are now struggling with it. Everyone knows the company’s the leader in AI accelerators. Everyone knows hyperscalers are still spending heavily. So, the
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Analyst’s Disclosure: I/we have a beneficial long position in the shares of NVDA either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
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Nvidia s finančními firmami včetně Apollo Global a Blackstone připravuje finanční balík na infrastrukturu AI za 500 miliard USD. Akcie Nvidie odpoledne klesly o více než 3 %.
Nvidia logo is seen in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rights, opens new tab
Aug 10 (Reuters) - A group of financial firms, including Apollo Global (APO.N), opens new tab and Blackstone (BX.N), opens new tab, is working with Nvidia to put together a $500 billion funding package for AI infrastructure development, a person familiar with the matter told Reuters on Monday.
Nvidia's (NVDA.O), opens new tab shares fell over 3% in afternoon trading.
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The tie-up highlights Nvidia's efforts to raise capital for the chips, power generation and data centers underpinning the AI boom.
Big Tech companies have signaled that spending on AI would not slow down, with combined outlays set to surpass $730 billion this year.
The group, which also includes BlackRock's (BLK.N), opens new tab Global Infrastructure Partners, Brookfield Asset Management (BAM.N), opens new tab, Goldman Sachs (GS.N), opens new tab and KKR (KKR.N), opens new tab, is in talks to partner with Nvidia on the AI build-out, according to the Financial Times, which reported the development first.
BlackRock and KKR declined to comment when contacted by Reuters, while Nvidia and the other companies did not immediately respond to requests.
Nvidia said in June it would raise $25 billion through a U.S. bond issuance, as it taps the debt market to increase liquidity for the first time since 2021.
Reporting by Isla Binnie in New York and Juby Babu in Mexico City; Editing by Jonathan Ananda and Shinjini Ganguli
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Isla Binnie reports on how company directors and executives manage stakeholder and shareholder interests, with a focus on compensation, corporate crises, dealmaking and succession. She also covers how politics, regulation, environmental issues and the broader economy affect boardroom discussions. Isla previously covered business, politics and general news in Spain and Italy. She trained with Reuters in London and covered emerging markets debt for the International Financing Review (IFR).
AMD oznámila dohodu o koupi společnosti Taalas, aby posílila AI inference a spojila její technologii s GPU Instinct. Firma chce zlepšit výkon i efektivitu na rychle rostoucím trhu.
Key Takeaways AMD will integrate Taalas' inference technology with Instinct GPUs to improve AI performance and efficiency.Taalas complements AMD's full-stack AI portfolio as demand for its Helios systems rises.NVIDIA and Alphabet pose major AI inference challenges with broad platforms, software ecosystems and scale. Advanced Micro Devices (AMD - Free Report) announced on Thursday (Aug. 6) that it has entered into a definitive agreement to acquire Taalas, a Toronto-based developer of specialized AI inference silicon, as the company looks to strengthen its position in the rapidly expanding AI inference market. Taalas’ technology is designed to optimize inference dataflows and reduce the compute and memory bottlenecks associated with more general-purpose architectures. AMD plans to incorporate the technology into its accelerator roadmap and develop system-level solutions that combine Taalas’ capabilities with AMD Instinct GPUs.
The acquisition appears strategically well aligned with AMD’s growing emphasis on inference, an area that is becoming increasingly important as AI workloads transition from model training toward large-scale production deployment. Taalas has developed an approach that effectively builds specialized hardware around AI models, potentially allowing workloads to run with higher efficiency than on general-purpose architectures. AMD believes the combination can improve inference performance and efficiency while giving Taalas access to AMD’s engineering resources, scale and global customer reach.
Taalas’ technology complements AMD’s broader full-stack AI portfolio, which includes Helios rack-scale systems, EPYC CPUs, Instinct accelerators, Pensando networking and ROCm software. AMD said Helios can deliver up to 15% higher throughput at the same rack power and as much as 30% more tokens per dollar than competing solutions across a broad range of inference workloads. Customer demand is also running ahead of AMD’s initial expectations. The integration of Taalas’ specialized inference technology could therefore give AMD another architectural lever to improve performance, power efficiency and token economics instead of relying solely on successive GPU improvements.
The Taalas deal strengthens AMD compute power with specialized inference silicon while retaining the ability to combine it with Instinct GPUs, EPYC processors and ROCm. AMD plans to introduce a new rack-scale AI platform every year, with successive generations targeting significant improvements in performance, efficiency and total cost of ownership. The company expects its 2027 platform, incorporating MI500-series GPUs, Verano CPUs and next-generation networking, to produce the largest generational performance improvement in Instinct history. The company remains on track to increase inference performance by more than 2,000 times over four years.
Tough Competition Hurts AMD’s ProspectsAMD’s prospects suffer from stiff competition. NVIDIA (NVDA - Free Report) and Alphabet (GOOGL - Free Report) are major competitors in the AI inference space. NVIDIA competes directly with AMD as a merchant supplier of AI infrastructure, while Alphabet is increasingly a vertically integrated rival through its internally developed TPUs, Google Cloud infrastructure and Gemini ecosystem.
NVIDIA’s Blackwell is already deployed across every major hyperscaler, cloud provider and major model maker, while frontier AI companies, including OpenAI, Anthropic, Gemini, Perplexity and Cursor, are building on its platform. This broad installed base creates a significant hurdle for AMD as it attempts to expand adoption of Instinct accelerators and ROCm. NVIDIA believes that its CUDA ecosystem, installed base and continually improving software stack allow customers to generate returns from GPUs beyond their depreciable lives, strengthening customer retention and raising switching costs.
Alphabet designs its own TPUs, deploys them across its enormous internal AI workloads, uses them to power Gemini, and offers the same infrastructure externally through Google Cloud. The company’s Google Cloud now offers TPU 8t and 8i alongside NVIDIA’s Vera Rubin, with Google highlighting the price-performance of its accelerators. Alphabet’s software stack supports JAX, PyTorch, vLLM and SGLang across GPUs and TPUs, while its Virgo network is designed to connect as many as one million accelerators across multiple data-center sites.
AMD’s Share Price Performance, Valuation & EstimatesAMD shares have jumped 125.7% year to date, outperforming the broader Zacks Computer and Technology sector’s return of 18.1%.
AMD Stock’s Price Performance
Image Source: Zacks Investment Research
AMD stock is overvalued, with a forward 12-month price/sales of 11.37X compared with the broader sector’s 6.58X. AMD has a Value Score of F.
AMD Valuation
Image Source: Zacks Investment Research
The Zacks Consensus Estimate for third-quarter 2026 earnings is pegged at $1.87 per share, up a couple of cents over the past 30 days, suggesting 55.83% year-over-year growth.
AMD currently sports a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.
BofA čeká, že Nvidia po výsledcích za 2. čtvrtletí zvýší výhled na 107 miliard až 108 miliard USD tržeb, nad odhadem Wall Street kolem 104 miliard USD. Banka to vidí jako začátek vícečtvrtletního cyklu zvyšování odhadů.
Nvidia Corp (NASDAQ:NVDA, XETRA:NVD) is set to report second-quarter earnings after the market closes on August 26 and Bank of America thinks the chipmaker is about to do what it usually does: beat expectations and raise its outlook, only this time with an extra catalyst behind it.
In a note maintaining its Buy rating and $350 price objective on the stock, BofA analysts said they expect Nvidia to post revenue of $94 billion to $95 billion, a $3 billion to $4 billion beat above the company's own $91 billion guidance.
More notable, though, is what they expect for guidance going forward: a raise to $107 billion to $108 billion, well above the roughly $104 billion that Wall Street analysts are currently modeling.
The reason for that optimism comes down to timing. Nvidia's next-generation Vera Rubin platform is starting to ship, along with new Vera CPU ramps, and BofA points to strong cloud capital spending trends as further support. The analysts also flagged that spot prices for renting GPU capacity have hit all-time highs, which they say could ease lingering concerns about return on investment and speed up how quickly customers move to the new generation of chips.
Rising memory prices are a worry across chipmakers this year, but BofA doesn't see it hitting Nvidia hard. The firm expects gross margin to settle around 73% to 74% long-term, down only modestly from about 75% today.
On upcoming Vera Rubin racks, the margin hit from memory is just 60 basis points versus the current Blackwell Ultra generation. New "pod-level" systems could see a steeper 500-basis-point hit, but BofA expects those to stay a small part of the mix. Long-term supply deals, including Nvidia's ties to SK Hynix, should also help cushion the pressure.
Critics argue Nvidia's direct stakes in customers like OpenAI ($30 billion) and Anthropic ($10 billion) artificially inflate demand. BofA counters that the roughly $70 billion invested so far is just 15% of the $470 billion in free cash flow it expects Nvidia to generate in 2026 and 2027, leaving room to keep returning 50% of free cash flow to shareholders. A separate $250 billion OpenAI/SB Energy backstop isn't upfront money either, BofA notes, but a contingent guarantee that only triggers on default, with payments back-end loaded to 2028 or later.
Five things to watch beyond the headline numbers BofA laid out what it considers the real debates investors should be paying attention to this quarter, beyond just whether Nvidia beats and raises:
The Vera Rubin rollout - any updates on supply and whether Nvidia's forecast of more than $1 trillion in revenue from calendar years 2025 through 2027 changes. OpenAI's financing arrangement - specifically, more clarity on the vendor financing and backstop deal, and when Nvidia might be able to redirect that cash toward stock buybacks instead. Whether margins hold up as memory costs keep rising. Memory now makes up 40% to 50% of the cost to build Nvidia's systems, compared with 15% to 20% or so historically. How hyperscalers are growing compared to what BofA calls ACIE (its term for AI cloud infrastructure providers outside the traditional hyperscalers). The open-versus-closed AI model debate and what it means for the size of Nvidia's addressable market.
Bank of America Corp DE lifted its holdings in NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 2.1% in the first quarter, according to the company in its most recent 13F filing with the Securities and Exchange Commission. The fund owned 191,200,989 shares of the computer hardware maker’s stock after acquiring an additional 4,019,505 shares during the period. NVIDIA accounts for approximately 2.4% of Bank of America Corp DE’s holdings, making the stock its biggest holding. Bank of America Corp DE owned 0.79% of NVIDIA worth $33,345,453,000 as of its most recent SEC filing.
Several other institutional investors have also modified their holdings of NVDA. Lifetime Wealth Management P.C. purchased a new position in shares of NVIDIA during the 4th quarter worth about $26,000. Longview Financial Advisors Inc. purchased a new stake in shares of NVIDIA in the first quarter worth approximately $27,000. Longfellow Investment Management Co. LLC raised its holdings in shares of NVIDIA by 47.9% in the second quarter. Longfellow Investment Management Co. LLC now owns 207 shares of the computer hardware maker’s stock worth $33,000 after buying an additional 67 shares during the period. Phillip James Consulting Co. bought a new stake in shares of NVIDIA during the 1st quarter worth approximately $40,000. Finally, Spurstone Advisory Services LLC bought a new stake in shares of NVIDIA during the second quarter worth $40,000. 65.27% of the stock is owned by institutional investors.
Analyst Upgrades and Downgrades A number of equities research analysts recently weighed in on the stock. HSBC reiterated a “buy” rating and set a $325.00 price objective (up from $295.00) on shares of NVIDIA in a report on Tuesday, May 19th. Itau BBA Securities cut their price target on NVIDIA from $256.00 to $218.00 in a research note on Wednesday, June 24th. Wolfe Research restated an “outperform” rating and issued a $275.00 price objective on shares of NVIDIA in a report on Thursday, May 21st. Stifel Nicolaus set a $282.00 price target on shares of NVIDIA and gave the company a “buy” rating in a report on Thursday, May 21st. Finally, William Blair reaffirmed an “outperform” rating on shares of NVIDIA in a research report on Tuesday, June 2nd. Three analysts have rated the stock with a Strong Buy rating, forty-eight have issued a Buy rating and two have assigned a Hold rating to the company’s stock. According to MarketBeat, NVIDIA has an average rating of “Buy” and a consensus target price of $304.26.
View Our Latest Stock Report on NVIDIA
Insider Activity at NVIDIA In other NVIDIA news, Director Mark A. Stevens sold 885,000 shares of the firm’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 completion of the sale, the director owned 5,207,271 shares of the company’s stock, valued at approximately $1,094,412,146.07. This trade represents a 14.53% decrease in their ownership of the stock. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which can be accessed through the SEC website. Also, Director John Dabiri sold 625 shares of the business’s stock in a transaction dated Wednesday, May 27th. The stock was 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 $3,030,882. The trade was a 4.23% decrease in their position. The disclosure for this sale is available in the SEC filing. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. 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 Price Performance Shares of NVDA opened at $223.96 on Monday. The company has a market cap of $5.42 trillion, a price-to-earnings ratio of 34.30, a price-to-earnings-growth ratio of 0.44 and a beta of 2.23. NVIDIA Corporation has a twelve month low of $164.07 and a twelve month 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 company has a 50 day moving average of $205.66 and a two-hundred day moving average of $197.27.
NVIDIA (NASDAQ:NVDA – Get Free Report) last released its quarterly 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. 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 business’s revenue for the quarter was up 85.2% on a year-over-year basis. During the same period in the previous year, the company earned $0.81 earnings per share. As a group, analysts predict that NVIDIA Corporation will post 8.79 earnings per share for the current fiscal 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 dividend of $0.25 per share. This is a positive change from NVIDIA’s previous quarterly dividend of $0.01. The ex-dividend date was Thursday, June 4th. This represents a $1.00 annualized dividend and a yield of 0.4%. NVIDIA’s dividend payout ratio (DPR) is presently 15.31%.
NVIDIA announced that its board has approved 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 generally a sign that the company’s leadership believes its shares are undervalued.
More NVIDIA News Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: Reports that SpaceX plans to deploy NVIDIA’s next-generation AI hardware across terrestrial and orbital computing infrastructure reinforced expectations for another major customer and expanded demand for NVIDIA systems. Time to Buy Nvidia or SpaceX Stock After Their AI Partnership? Positive Sentiment: Strong spending by hyperscalers, demand for AI data-center capacity, and NVIDIA-backed projects such as Firmus’ $2 billion fundraising in Australia and Asia-Pacific supported the view that AI infrastructure investment remains robust. Firmus nearly doubles valuation to over $10.5 billion Positive Sentiment: Analyst and market commentary highlighted NVIDIA’s leadership in sovereign AI, with one report estimating a 92% share, while investors continued to describe the company as evolving from a GPU supplier into a broader AI infrastructure platform. What’s Going On With NVIDIA Stock Friday? Positive Sentiment: Recent commentary pointed to accelerating AI demand, strong cash flow and valuation support, with the median analyst price target reported at $308.50 versus recent trading levels. Should You Buy NVIDIA Stock After Its 11% Rally in a Month? Neutral Sentiment: NVIDIA’s rally has lifted the stock roughly 12% over five sessions, increasing focus on the upcoming earnings report. Analysts remain constructive, but some traders are pausing because near-term catalysts may be limited after the sharp advance. Two reasons why Nvidia’s stock saw its biggest weekly surge Negative Sentiment: AMD’s acquisition of AI-inference chip startup Taalas could strengthen its competitive position and create a longer-term challenge to NVIDIA, although initial investor commentary suggested the deal does not immediately close NVIDIA’s AI gap. AMD Is Buying Its Way Deeper Into AI Inference Negative Sentiment: QuiverQuant data showed 45 NVIDIA insider sales and no insider purchases during the past six months, a potential caution signal as the stock trades near its highs. NVIDIA Stock Opinions on AI Market Position 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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Bull Harbor Capital LLC purchased a new stake in NVIDIA Corporation (NASDAQ:NVDA – Free Report) during the 1st quarter, according to its most recent Form 13F filing with the Securities & Exchange Commission. The fund purchased 43,113 shares of the computer hardware maker’s stock, valued at approximately $7,519,000. NVIDIA accounts for about 2.0% of Bull Harbor Capital LLC’s holdings, making the stock its biggest holding.
Other institutional investors and hedge funds have also recently modified their holdings of the company. Norges Bank bought a new position in NVIDIA during the fourth quarter worth $62,244,133,000. J. Stern & Co. LLP increased its stake 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 valued at $23,454,297,000 after purchasing an additional 124,849,603 shares in the last quarter. Cardano Risk Management B.V. increased its stake in NVIDIA by 896.4% in the fourth 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 purchasing an additional 70,283,539 shares in the last quarter. Capital Research Global Investors raised 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 purchasing an additional 22,896,705 shares during the period. Finally, Laurel Wealth Advisors LLC boosted its position in shares of 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 worth $3,454,534,000 after purchasing an additional 21,725,326 shares in the last quarter. 65.27% of the stock is currently owned by institutional investors.
Insider Buying and Selling In related 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 value of $133,750.00. Following the completion of the sale, the director directly owned 14,163 shares of the company’s stock, valued at approximately $3,030,882. This represents a 4.23% decrease in their position. The transaction was disclosed in a filing with the SEC, which can be accessed through the SEC website. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan. Also, Director Mark A. Stevens sold 885,000 shares of the firm’s 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 owned 5,207,271 shares in the company, valued at approximately $1,094,412,146.07. This trade represents a 14.53% decrease in their ownership of the stock. The disclosure for this sale is available in the SEC filing. Over the last 90 days, insiders sold 1,901,125 shares of company stock worth $410,583,015. 3.94% of the stock is owned by corporate insiders.
NVIDIA News Summary Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: Reports that SpaceX plans to deploy NVIDIA’s next-generation AI hardware across terrestrial and orbital computing infrastructure reinforced expectations for another major customer and expanded demand for NVIDIA systems. Time to Buy Nvidia or SpaceX Stock After Their AI Partnership? Positive Sentiment: Strong spending by hyperscalers, demand for AI data-center capacity, and NVIDIA-backed projects such as Firmus’ $2 billion fundraising in Australia and Asia-Pacific supported the view that AI infrastructure investment remains robust. Firmus nearly doubles valuation to over $10.5 billion Positive Sentiment: Analyst and market commentary highlighted NVIDIA’s leadership in sovereign AI, with one report estimating a 92% share, while investors continued to describe the company as evolving from a GPU supplier into a broader AI infrastructure platform. What’s Going On With NVIDIA Stock Friday? Positive Sentiment: Recent commentary pointed to accelerating AI demand, strong cash flow and valuation support, with the median analyst price target reported at $308.50 versus recent trading levels. Should You Buy NVIDIA Stock After Its 11% Rally in a Month? Neutral Sentiment: NVIDIA’s rally has lifted the stock roughly 12% over five sessions, increasing focus on the upcoming earnings report. Analysts remain constructive, but some traders are pausing because near-term catalysts may be limited after the sharp advance. Two reasons why Nvidia’s stock saw its biggest weekly surge Negative Sentiment: AMD’s acquisition of AI-inference chip startup Taalas could strengthen its competitive position and create a longer-term challenge to NVIDIA, although initial investor commentary suggested the deal does not immediately close NVIDIA’s AI gap. AMD Is Buying Its Way Deeper Into AI Inference Negative Sentiment: QuiverQuant data showed 45 NVIDIA insider sales and no insider purchases during the past six months, a potential caution signal as the stock trades near its highs. NVIDIA Stock Opinions on AI Market Position NVIDIA Price Performance Shares of NASDAQ NVDA opened at $223.96 on Friday. The stock has a market cap of $5.42 trillion, a price-to-earnings ratio of 34.30, a PEG ratio of 0.44 and a beta of 2.23. 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 fifty-two week low of $164.07 and a fifty-two week high of $236.54. The firm’s 50-day simple moving average is $205.66 and its 200 day simple moving average is $197.19.
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 firm had revenue of $81.61 billion during the quarter, compared to analyst estimates of $78.42 billion. NVIDIA had a return on equity of 96.94% and a net margin of 62.97%.The company’s revenue for the quarter was up 85.2% on a year-over-year basis. During the same period in the previous year, the company posted $0.81 EPS. As a group, research analysts anticipate that NVIDIA Corporation will post 8.79 earnings per share for the current fiscal year.
NVIDIA declared that its board has approved a stock buyback program 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 reacquire up to 1.5% of its shares through open market purchases. Shares buyback programs are often an indication that the company’s leadership believes its shares are 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 issued a dividend of $0.25 per share. This represents a $1.00 annualized dividend and a yield of 0.4%. This is an increase from NVIDIA’s previous quarterly dividend of $0.01. The ex-dividend date was Thursday, June 4th. NVIDIA’s dividend payout ratio is currently 15.31%.
Wall Street Analyst Weigh In Several analysts have recently commented on the company. Zacks Research upgraded NVIDIA from a “hold” rating to a “strong-buy” rating in a research note on Monday, July 20th. Needham & Company LLC reiterated a “buy” rating and issued a $270.00 price target on shares of NVIDIA in a report on Tuesday, June 2nd. Craig Hallum raised their price objective on NVIDIA from $245.00 to $275.00 and gave the company a “buy” rating in a research note on Thursday, May 21st. Royal Bank Of Canada set a $280.00 price objective on NVIDIA in a report on Thursday, May 21st. Finally, China Renaissance began coverage on NVIDIA in a research report on Friday, June 5th. They set a “buy” rating and a $319.00 target price on the stock. Three 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 stock. Based on data from MarketBeat, NVIDIA has an average rating of “Buy” and a consensus price target of $304.26.
Check Out Our Latest Analysis on NVIDIA
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.
Read More Five stocks we like better than NVIDIA Quantum Earnings Week: Winners and Losers Are Finally Emerging Axon’s Post-Earnings Pullback May Be More About Valuation Than Growth Uber Stock Lags in 2026, But Cash Flow and AV Bets Fuel Upside AppLovin Stock Hits 52-Week Low as Analysts Trim Targets, Stay Bullish 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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Altshuler Shaham Ltd. v 1. čtvrtletí zvýšila podíl v NVIDIA o 6 451,9 % a nakoupila dalších 627 510 akcií. Po transakci držela 637 236 akcií v hodnotě 111,134 mil. USD.
Altshuler Shaham Ltd increased its position in shares of NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 6,451.9% during the 1st quarter, according to its most recent Form 13F filing with the Securities & Exchange Commission. The firm owned 637,236 shares of the computer hardware maker’s stock after acquiring an additional 627,510 shares during the quarter. NVIDIA comprises about 1.8% of Altshuler Shaham Ltd’s investment portfolio, making the stock its 19th largest position. Altshuler Shaham Ltd’s holdings in NVIDIA were worth $111,134,000 at the end of the most recent reporting period.
Several other hedge funds have also added to or reduced their stakes in the company. Lifetime Wealth Management P.C. bought a new stake in shares of NVIDIA in the 4th quarter valued at about $26,000. Longview Financial Advisors Inc. acquired a new position in NVIDIA during the first quarter valued at approximately $27,000. Longfellow Investment Management Co. LLC increased its stake in NVIDIA by 47.9% in the second quarter. Longfellow Investment Management Co. LLC now owns 207 shares of the computer hardware maker’s stock valued at $33,000 after purchasing an additional 67 shares in the last quarter. Phillip James Consulting Co. bought a new stake in NVIDIA in the first quarter valued at approximately $40,000. Finally, Spurstone Advisory Services LLC acquired a new stake in NVIDIA in the second quarter worth $40,000. Institutional investors own 65.27% of the company’s stock.
Wall Street Analysts Forecast Growth A number of brokerages have recently weighed in on NVDA. President Capital lifted their price target on shares of NVIDIA from $280.00 to $295.00 and gave the stock a “buy” rating in a research report on Thursday, May 21st. Raymond James Financial restated a “strong-buy” rating and issued a $330.00 price objective on shares of NVIDIA in a research report on Thursday, May 21st. Tigress Financial reiterated a “strong-buy” rating and set a $425.00 target price (up from $360.00) on shares of NVIDIA in a report on Wednesday, May 27th. CICC Research boosted their target price on NVIDIA from $240.60 to $268.30 and gave the company an “outperform” rating in a research note on Friday, May 22nd. Finally, BTIG Research assumed coverage on NVIDIA in a report on Wednesday, April 15th. They issued a “buy” rating for the company. Three equities research analysts have rated the stock with a Strong Buy rating, forty-eight have given a Buy rating and two have given a Hold rating to the stock. Based on data from MarketBeat, the stock currently has an average rating of “Buy” and an average target price of $304.26.
Read Our Latest Research Report on NVDA
Key Stories Impacting NVIDIA Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: Reports that SpaceX plans to deploy NVIDIA’s next-generation AI hardware across terrestrial and orbital computing infrastructure reinforced expectations for another major customer and expanded demand for NVIDIA systems. Time to Buy Nvidia or SpaceX Stock After Their AI Partnership? Positive Sentiment: Strong spending by hyperscalers, demand for AI data-center capacity, and NVIDIA-backed projects such as Firmus’ $2 billion fundraising in Australia and Asia-Pacific supported the view that AI infrastructure investment remains robust. Firmus nearly doubles valuation to over $10.5 billion Positive Sentiment: Analyst and market commentary highlighted NVIDIA’s leadership in sovereign AI, with one report estimating a 92% share, while investors continued to describe the company as evolving from a GPU supplier into a broader AI infrastructure platform. What’s Going On With NVIDIA Stock Friday? Positive Sentiment: Recent commentary pointed to accelerating AI demand, strong cash flow and valuation support, with the median analyst price target reported at $308.50 versus recent trading levels. Should You Buy NVIDIA Stock After Its 11% Rally in a Month? Neutral Sentiment: NVIDIA’s rally has lifted the stock roughly 12% over five sessions, increasing focus on the upcoming earnings report. Analysts remain constructive, but some traders are pausing because near-term catalysts may be limited after the sharp advance. Two reasons why Nvidia’s stock saw its biggest weekly surge Negative Sentiment: AMD’s acquisition of AI-inference chip startup Taalas could strengthen its competitive position and create a longer-term challenge to NVIDIA, although initial investor commentary suggested the deal does not immediately close NVIDIA’s AI gap. AMD Is Buying Its Way Deeper Into AI Inference Negative Sentiment: QuiverQuant data showed 45 NVIDIA insider sales and no insider purchases during the past six months, a potential caution signal as the stock trades near its highs. NVIDIA Stock Opinions on AI Market Position NVIDIA Stock Performance NVDA opened at $223.96 on Friday. The company has a market capitalization of $5.42 trillion, a price-to-earnings ratio of 34.30, a P/E/G ratio of 0.44 and a beta of 2.23. The business’s 50-day moving average price is $205.66 and its two-hundred day moving average price is $197.19. NVIDIA Corporation has a 1 year low of $164.07 and a 1 year high of $236.54. The company has a debt-to-equity ratio of 0.04, a current ratio of 3.44 and a quick ratio of 2.85.
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 for the quarter, topping the consensus estimate of $1.76 by $0.11. The company 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%.During the same period in the prior year, the firm earned $0.81 earnings per share. NVIDIA’s revenue for the quarter was up 85.2% compared to the same quarter last year. Equities analysts expect 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. Stockholders of record on Thursday, June 4th were paid a dividend of $0.25 per share. The ex-dividend date of this dividend was Thursday, June 4th. This represents a $1.00 annualized dividend and a dividend yield of 0.4%. This is an increase from NVIDIA’s previous quarterly dividend of $0.01. NVIDIA’s dividend payout ratio (DPR) is 15.31%.
NVIDIA declared that its Board of Directors has authorized a stock buyback 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 buy up to 1.5% of its stock through open market purchases. Stock repurchase plans are generally a sign that the company’s board of directors believes its shares are undervalued.
Insider Activity In related news, Director Mark A. Stevens sold 885,000 shares of the firm’s 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 completion of the transaction, the director owned 5,207,271 shares of the company’s stock, valued at approximately $1,094,412,146.07. This trade represents a 14.53% decrease in their ownership of the stock. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through this hyperlink. Also, Director Stephen C. Neal sold 15,500 shares of the firm’s stock in a transaction 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 of the company’s stock, valued at approximately $25,053,803.55. This trade represents a 11.77% decrease in their position. Additional details regarding this sale are available in the official SEC disclosure. Insiders have sold 1,901,125 shares of company stock worth $410,583,015 over the last ninety days. 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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Atreides Management LP reduced its holdings in shares of NVIDIA Corporation (NASDAQ:NVDA – Free Report) by 77.0% during the first quarter, according to its most recent 13F filing with the Securities and Exchange Commission. The institutional investor owned 1,248,592 shares of the computer hardware maker’s stock after selling 4,176,639 shares during the quarter. NVIDIA comprises 4.4% of Atreides Management LP’s investment portfolio, making the stock its 5th biggest position. Atreides Management LP’s holdings in NVIDIA were worth $217,754,000 as of its most recent SEC filing.
Several other institutional investors and hedge funds also recently bought and sold shares of NVDA. State Street Corp boosted its stake in NVIDIA by 1.2% in 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 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 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 buying an additional 3,383,441 shares during the period. Norges Bank purchased a new stake in shares of NVIDIA in the fourth quarter worth about $62,244,133,000. Bank of America Corp DE lifted its holdings 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 buying an additional 2,849,678 shares in the last quarter. Finally, Legal & General Group Plc boosted its position 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 acquiring an additional 2,609,560 shares during the period. 65.27% of the stock is owned by institutional investors.
Wall Street Analyst Weigh In A number of analysts recently weighed in on the stock. Barclays reaffirmed an “overweight” rating on shares of NVIDIA in a report on Thursday, May 21st. Royal Bank Of Canada set a $280.00 price target on shares of NVIDIA in a report on Thursday, May 21st. Rosenblatt Securities restated a “buy” rating and set a $325.00 price target on shares of NVIDIA in a research report on Thursday, May 21st. DA Davidson reaffirmed a “buy” rating and issued a $300.00 price target on shares of NVIDIA in a report on Monday, June 1st. Finally, Stifel Nicolaus set a $282.00 price objective on NVIDIA and gave the stock a “buy” rating in a research report on Thursday, May 21st. Three investment analysts have rated the stock with a Strong Buy rating, forty-eight have issued a Buy rating and two have issued a Hold rating to the stock. Based on data from MarketBeat.com, NVIDIA currently has an average rating of “Buy” and an average price target of $304.26.
View Our Latest Stock Analysis on NVIDIA
NVIDIA News Summary Here are the key news stories impacting NVIDIA this week:
Positive Sentiment: Reports that SpaceX plans to deploy NVIDIA’s next-generation AI hardware across terrestrial and orbital computing infrastructure reinforced expectations for another major customer and expanded demand for NVIDIA systems. Time to Buy Nvidia or SpaceX Stock After Their AI Partnership? Positive Sentiment: Strong spending by hyperscalers, demand for AI data-center capacity, and NVIDIA-backed projects such as Firmus’ $2 billion fundraising in Australia and Asia-Pacific supported the view that AI infrastructure investment remains robust. Firmus nearly doubles valuation to over $10.5 billion Positive Sentiment: Analyst and market commentary highlighted NVIDIA’s leadership in sovereign AI, with one report estimating a 92% share, while investors continued to describe the company as evolving from a GPU supplier into a broader AI infrastructure platform. What’s Going On With NVIDIA Stock Friday? Positive Sentiment: Recent commentary pointed to accelerating AI demand, strong cash flow and valuation support, with the median analyst price target reported at $308.50 versus recent trading levels. Should You Buy NVIDIA Stock After Its 11% Rally in a Month? Neutral Sentiment: NVIDIA’s rally has lifted the stock roughly 12% over five sessions, increasing focus on the upcoming earnings report. Analysts remain constructive, but some traders are pausing because near-term catalysts may be limited after the sharp advance. Two reasons why Nvidia’s stock saw its biggest weekly surge Negative Sentiment: AMD’s acquisition of AI-inference chip startup Taalas could strengthen its competitive position and create a longer-term challenge to NVIDIA, although initial investor commentary suggested the deal does not immediately close NVIDIA’s AI gap. AMD Is Buying Its Way Deeper Into AI Inference Negative Sentiment: QuiverQuant data showed 45 NVIDIA insider sales and no insider purchases during the past six months, a potential caution signal as the stock trades near its highs. NVIDIA Stock Opinions on AI Market Position NVIDIA Trading Up 2.3% Shares of NVIDIA stock opened at $223.96 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. NVIDIA Corporation has a 1 year low of $164.07 and a 1 year high of $236.54. The firm has a market cap of $5.42 trillion, a PE ratio of 34.30, a PEG ratio of 0.44 and a beta of 2.23. The company has a 50 day simple moving average of $205.66 and a two-hundred day simple moving average of $197.19.
NVIDIA (NASDAQ:NVDA – Get Free Report) last issued its quarterly earnings results 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 firm 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 business’s revenue for the quarter was up 85.2% compared to the same quarter last year. During the same quarter in the prior year, the firm earned $0.81 EPS. Analysts expect that NVIDIA Corporation will post 8.79 earnings per share for the current fiscal 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 paid 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 0.4%. The ex-dividend date of this dividend was Thursday, June 4th. NVIDIA’s payout ratio is currently 15.31%.
NVIDIA announced that its Board of Directors has initiated a stock buyback program on Wednesday, May 20th that permits the company to repurchase $80.00 billion in shares. This repurchase authorization permits the computer hardware maker to buy up to 1.5% of its shares through open market purchases. Shares repurchase programs are usually an indication that the company’s board of directors believes its shares are undervalued.
Insider Activity at NVIDIA In other news, Director Mark A. Stevens sold 885,000 shares of the company’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 completion of the transaction, 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 position. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which can be accessed through this link. Also, Director Stephen C. Neal sold 15,500 shares of the company’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 completion of the transaction, the director owned 116,135 shares of the company’s stock, valued at $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. Insiders have sold a total of 1,901,125 shares of company stock valued at $410,583,015 over the last 90 days. 3.94% of the stock is owned by insiders.
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.
See Also Five stocks we like better than NVIDIA Quantum Earnings Week: Winners and Losers Are Finally Emerging Axon’s Post-Earnings Pullback May Be More About Valuation Than Growth Uber Stock Lags in 2026, But Cash Flow and AV Bets Fuel Upside AppLovin Stock Hits 52-Week Low as Analysts Trim Targets, Stay Bullish 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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Mark Cuban varuje, že Nvidia v AI boomu funguje jako „IPO stroj“ a financuje řadu firem v tomto sektoru. Riziko je největší u specializovaných cloudových operátorů závislých na externím kapitálu.
Mark Cuban recently raised concerns about how the artificial intelligence (AI) boom is being financed. In a July 28 post on X, he described Nvidia (NVDA +2.27%) as the sector's IPO, "funding everyone and anyone."
Cuban was not suggesting that Nvidia literally takes companies public. He was comparing Nvidia's role with the dot-com boom, when IPOs gave young internet companies money to expand. Nvidia is now investing in AI model developers and cloud operators, as well as other companies supporting the wider AI market.
Image source: Getty Images.
Nvidia's financing role is becoming significant Nvidia exited the first quarter of fiscal 2027 (ending April 26, 2026) with $42.3 billion of private investments and another $27 billion of contingent investment commitments. Nvidia's wider investment portfolio includes model developers OpenAI and Anthropic, cloud operators CoreWeave (CRWV +6.26%) and Nebius Group (NBIS -1.01%), and technology suppliers such as Intel, Synopsys, Nokia, and Coherent.
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Some of these investment deals could benefit Nvidia twice. Nvidia's investment may rise in value, while the company receiving the money may buy more Nvidia technology. But that link is not automatic. Several investments are also supporting suppliers and technology partners, not just customers. Therefore, its investment portfolio alone does not show that Nvidia is creating its own sales.
Impact on AI stocks Cuban's warning is not a blanket argument against AI stocks. Large cloud providers and profitable AI chip and networking players can fund much of their spending from existing operations. A slowdown in data center construction could reduce their free cash flow, orders, or valuations, but it would not immediately threaten their ability to operate.
The warning matters most for companies that need regular outside funding to keep expanding. Specialized cloud operators face greater risk.
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CoreWeave generated nearly $2.1 billion in revenue but spent $6.8 billion on capital expenditures in the first quarter of 2026 (ending March 31, 2026). Nebius shows a similar gap, with $399 million in revenue and nearly $2.5 billion in capital expenditures in the first quarter.
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Demand is not necessarily the problem. CoreWeave exited the first quarter with a $99.4 billion revenue backlog, while Nebius had nearly $4.8 billion of deferred revenue. The challenge is funding the GPUs and data centers needed to deliver that future revenue before much of the cash comes in.
Iren (IREN +8.70%) is also a close Nvidia partner, but Nvidia has not yet made the full agreed-upon $2.1 billion investment. Instead, Nvidia has the right to purchase up to 30 million Iren shares at $70 each, subject to certain conditions.
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Iren faces a similar timing issue at an earlier stage. The company generated $144.8 million of revenue in the third quarter of fiscal 2026 (ending March 31, 2026). But the company spent about $1.36 billion on computer hardware, property, and equipment.
Hence, Nvidia's stake in these companies is only part of the story. The bigger issue is whether they can eventually fund expansion with cash from their own businesses. Companies that still depend on external financing could face slower growth if funding becomes harder to obtain.
SummaryNvidia Corporation's stock is up roughly 20% over the last 12 months, while revenue grew 85% and non-GAAP EPS grew 140%, a disconnect that leaves the shares mispriced.Q1 FY27 delivered $81.6B in revenue, up 85%, with a record $48.6B in free cash flow and gross margin holding at 75%.The new reporting split shows $37B coming from AI clouds, industrial and enterprise customers, proving Nvidia no longer depends solely on Big Tech budgets.Big Tech CapEx is guided to $725B in 2026, up 77% year over year, and Nvidia should capture 35% to 40% of that spending.At 31.6x blended P/E and 22x forward earnings against 88% expected FY27 EPS growth, I remain bullish, though circular financing deals are a risk worth watching. Robert Way/iStock Editorial via Getty Images
The last time I covered NVIDIA Corporation (NVDA) was shortly after the firm reported its Q4 FY26 earnings, when the stock traded at 33x Blended P/E. I argued back then that the stock
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Nvidia má podle The Information investovat až 3 miliardy USD do infrastruktury Lancium, která stojí za datovým kampusem Stargate v Texasu. První tranše má činit 2 miliardy USD za zhruba 20% podíl.
Nvidia logo is seen in this illustration taken June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rights, opens new tab
Aug 7 (Reuters) - Nvidia (NVDA.O), opens new tab will invest up to $3 billion in power infrastructure developer Lancium, the company behind the Stargate data center campus in Texas, the Information reported on Friday.
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The chipmaker will invest an initial $2 billion for a stake of roughly 20% in Lancium, which is backed by Blackstone (BX.N), opens new tab, according to the report.
Nvidia could invest an additional $1 billion if the company meets certain thresholds, including grid hookups, the report said, citing people familiar with the matter.
Under the deal, Lancium and its portfolio of land and power connections have an enterprise value of around $10 billion, according to the Information.
The capital is expected to help Lancium expand its operations as it explores a potential initial public offering in 2027, the report said.
Nvidia and Lancium did not immediately respond to Reuters' requests for comment.
Stargate is a joint venture between SoftBank, OpenAI and Oracle to build data centers. The project was announced in January by U.S. President Donald Trump, who said that the companies would invest up to $500 billion to fund infrastructure for artificial intelligence.
Lancium owns the 1,000-acre Lancium Clean Campus in Abilene, Texas, which serves as the first operational site of the Stargate initiative.
Reporting by Rishabh Jaiswal in Bengaluru; Editing by William Mallard
Our Standards: The Thomson Reuters Trust Principles., opens new tab
Akcie Nvidia v pátek vzrostly asi o 2,2 % poté, co SpaceX uvedla, že svou AI platformu postaví výhradně na jejím hardwaru. Elon Musk zároveň řekl, že SpaceX příští rok zajistí významný podíl z dodávek GPU od společnosti Nvidia.
Nvidia NVDA , the AI chip giant powering much of the world's data-center boom, gained about 2.2% in Friday's regular session after investors cheered SpaceX's SPCX decision to build its AI platform exclusively around Nvidia hardware. Elon Musk said SpaceX expects to secure a significant share of Nvidia's GPU supply next year, immediately putting the spotlight on what could become one of Nvidia's largest AI infrastructure customers. While neither company disclosed the value or size of the deal, the message was clear: Nvidia remains the chipmaker everyone wants when building AI at scale.
The numbers show why this matters. SpaceX poured roughly $15.83 billion into AI infrastructure last quarter while generating $2.56 billion in AI revenue and expanding installed computing capacity to around 1.4 gigawatts, with even more capacity on the way. Not every dollar of that spending will land in Nvidia's pocket because AI campuses also require networking gear, power systems, cooling equipment and construction. Still, winning exclusive GPU supplier status gives Nvidia a front-row seat as one of the industry's most aggressive AI builders continues spending.
The GF Score chart only strengthens the bull case. Nvidia posts an outstanding GF Score of 95 out of 100, backed by elite profitability, explosive growth and rock-solid financial strength, all signs of a business still firing on nearly every cylinder. The only soft spot is GF Value, which suggests investors are already paying a hefty premium for that quality. That means execution matters more than ever. If SpaceX's AI expansion turns into a steady stream of GPU orders instead of a one-off deployment, Nvidia could reinforce its grip on the AI infrastructure race and give investors another reason to stay bullish despite the stock's premium valuation.
