PANews reported on May 18 that, according to CoinDesk, former OpenAI researcher Leopold Aschenbrenner has increased his disclosed investment size from $5.5 billion to $13.67 billion as of March 31, 2026, and has made significant purchases of shares in Bitcoin mining companies and AI infrastructure companies.
Its key holdings include mining companies such as IREN, Core Scientific, Riot Platforms, CleanSpark, Bitfarms, Bitdeer, and Hive Digital, betting that their power resources and data center capabilities will benefit from the growing demand for AI computing power. Simultaneously, it has established approximately $7.46 billion in short positions in semiconductors, including large put option positions in VanEck Semiconductor ETF, NVIDIA, Oracle, and Broadcom.
In brief Hive Digital Technologies’ stock price jumped 26% on Monday, after touching its highest point this year, following the data center announcement. Hive’s subsidiary, Buzz High Performance Computing, is building a 320-megawatt (MW) artificial intelligence facility in the Greater Toronto Area. Billed as a "sovereign AI infrastructure" project, the facility is designed to keep data and processing power within Canada to foster domestic tech dominance. Hive Digital Technologies’ stock price popped on Monday, touching its highest point of the year after the Bitcoin miner unveiled a massive data center buildout in Ontario, Canada.
The company’s shares changed hands around $3.39, a 26% increase on the day, according to Yahoo Finance. Shortly before Monday’s opening bell, Hive’s stock price soared to $3.92, temporarily extending gains beyond 35% year-to-date.
Hive reported that subsidiary Buzz High Performance Computing plans to construct an “AI Gigafactory” in the Greater Toronto Area, which will have roughly 320 megawatts (MW) of utility capacity—enough to power at least 200,000 average homes.
The firm, which began its strategic pivot away from being a pure-play Bitcoin miner in 2022, indicated the facility for artificial intelligence is expected to be one of Canada’s largest. The site will support fully vertically integrated AI supercomputers when fully built, Hive added.
In a statement, Hive and Buzz Executive Chairman Frank Holmes portrayed the company’s latest move as a way to accelerate Canada’s tech boom, providing “sovereign AI infrastructure that turns Canadian intelligence into Canadian dominance.”
Buzz expects its Ontario facility to come online in the second half of next year, which will likely necessitate 800 construction workers. In total, the buildout is expected to require roughly $3.5 billion Canadian dollars ($2.55 billion), eventually leading to the creation of highly skilled roles.
At the same time, Hive said Buzz’s facility is built in a way that is designed to minimize water usage, featuring closed-loop cooling systems. Across North America, local residents are increasingly pushing back against the proliferation of data centers, which have the potential to spike electricity rates due to their massive power needs.
At 320 MW, the Ontario site would bring Hive’s total power capacity to 850 MW globally. Currently, the company is using 450 MW to power data centers. With the resources, Hive said it has enough land and power to create facilities that support around 130,000 GPUs.
In the three-month period ended Dec. 31, Hive generated $88.2 million from mining digital assets compared to $26.6 million a year ago. High-performance computing revenue clocked in at $4.8 million and $2.5 million, respectively, representing a sliver of its overall business.
As Hive has embraced AI, the company has pared its Bitcoin holdings. As of Dec. 31, the company held 481 Bitcoin on its balance sheet, a sum recently valued at $36.7 million as the digital asset traded around $76,300, according to CoinGecko. A year ago, Hive controlled 2,805 Bitcoin, a cache worth $214.5 million today
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In brief Hive Digital Technologies’ stock price jumped 26% on Monday, after touching its highest point this year, following the data center announcement. Hive’s subsidiary, Buzz High Performance Computing, is building a 320-megawatt (MW) artificial intelligence facility in the Greater Toronto Area. Billed as a "sovereign AI infrastructure" project, the facility is designed to keep data and processing power within Canada to foster domestic tech dominance. Hive Digital Technologies’ stock price popped on Monday, touching its highest point of the year after the Bitcoin miner unveiled a massive data center buildout in Ontario, Canada.
The company’s shares changed hands around $3.39, a 26% increase on the day, according to Yahoo Finance. Shortly before Monday’s opening bell, Hive’s stock price soared to $3.92, temporarily extending gains beyond 35% year-to-date.
Hive reported that subsidiary Buzz High Performance Computing plans to construct an “AI Gigafactory” in the Greater Toronto Area, which will have roughly 320 megawatts (MW) of utility capacity—enough to power at least 200,000 average homes.
The firm, which began its strategic pivot away from being a pure-play Bitcoin miner in 2022, indicated the facility for artificial intelligence is expected to be one of Canada’s largest. The site will support fully vertically integrated AI supercomputers when fully built, Hive added.
In a statement, Hive and Buzz Executive Chairman Frank Holmes portrayed the company’s latest move as a way to accelerate Canada’s tech boom, providing “sovereign AI infrastructure that turns Canadian intelligence into Canadian dominance.”
Buzz expects its Ontario facility to come online in the second half of next year, which will likely necessitate 800 construction workers. In total, the buildout is expected to require roughly $3.5 billion Canadian dollars ($2.55 billion), eventually leading to the creation of highly skilled roles.
At the same time, Hive said Buzz’s facility is built in a way that is designed to minimize water usage, featuring closed-loop cooling systems. Across North America, local residents are increasingly pushing back against the proliferation of data centers, which have the potential to spike electricity rates due to their massive power needs.
At 320 MW, the Ontario site would bring Hive’s total power capacity to 850 MW globally. Currently, the company is using 450 MW to power data centers. With the resources, Hive said it has enough land and power to create facilities that support around 130,000 GPUs.
In the three-month period ended Dec. 31, Hive generated $88.2 million from mining digital assets compared to $26.6 million a year ago. High-performance computing revenue clocked in at $4.8 million and $2.5 million, respectively, representing a sliver of its overall business.
As Hive has embraced AI, the company has pared its Bitcoin holdings. As of Dec. 31, the company held 481 Bitcoin on its balance sheet, a sum recently valued at $36.7 million as the digital asset traded around $76,300, according to CoinGecko. A year ago, Hive controlled 2,805 Bitcoin, a cache worth $214.5 million today
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Hive Digital Technologies just made the kind of bet that signals where crypto-native companies think the real money is heading. The company announced plans to build a 320 MW AI gigafactory in the Greater Toronto Area, a facility designed to support AI and machine learning workloads at a scale that would make it one of the largest of its kind in Canada.
The project, developed through Hive’s BUZZ High Performance Computing unit, carries a projected capital investment of approximately CAD $3.5 billion. At full build-out, the facility aims to house more than 100,000 GPUs, with an operational target set for the second half of 2027.
What Hive is actually building The company has already started assembling the physical footprint. Land acquisitions in the Greater Toronto Area total 25 acres across two purchases: $46M for a 21-acre parcel and $12M for an adjacent 4-acre plot. That’s $58M just for the dirt, before a single server rack gets installed.
The facility will utilize a closed-loop cooling system, which is Hive’s nod toward clean energy infrastructure. Cooling is one of the biggest operational headaches in high-performance computing. Traditional data centers can burn through enormous amounts of water and electricity just keeping chips from overheating. A closed-loop system recirculates coolant rather than pulling fresh water continuously, reducing both environmental impact and long-term operating costs.
Hive is framing this as “sovereign AI infrastructure,” a term that’s gained traction as governments and corporations increasingly worry about relying on foreign-owned compute capacity. The pitch is straightforward: Canada should have its own large-scale AI compute facilities rather than depending on hyperscalers headquartered elsewhere.
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Construction alone is projected to create more than 800 jobs, which gives the project a political tailwind that pure crypto plays rarely enjoy.
From Bitcoin mining to AI compute Hive’s pivot, or more accurately its expansion, from Bitcoin mining to AI infrastructure follows a well-worn path in the industry. Companies like Core Scientific, Iris Energy, and Applied Digital have all made similar moves over the past two years, recognizing that the same power infrastructure and cooling expertise required for mining Bitcoin translates directly to running GPU clusters for AI training and inference.
The economics tell the story. Bitcoin mining revenue depends on a volatile commodity price and an ever-increasing difficulty adjustment. AI compute, by contrast, operates on long-term contracts with enterprise clients who need guaranteed capacity. The margins can be more predictable, the revenue more stable, and the customer base includes some of the most well-capitalized companies on the planet.
Hive has been positioning for this shift through its BUZZ High Performance Computing division, which serves as the corporate vehicle for its AI ambitions. The 320 MW capacity target puts the planned Ontario facility in serious territory. For context, 320 MW is enough to power a small city, and dedicating that entirely to GPU compute creates an enormous amount of processing capability.
Over 100,000 GPUs at full build-out would represent a significant concentration of AI training capacity. The exact GPU models haven’t been specified, but at that scale, even mid-tier chips would produce a facility capable of handling the largest commercial AI workloads currently in demand.
What this means for investors Here’s the thing about a CAD $3.5 billion project: it dwarfs Hive’s current market capitalization. As of recent trading, Hive Digital is a company valued in the low single-digit billions in USD. Financing a project of this magnitude will require some combination of debt, equity raises, partnerships, and potentially government incentives. The gap between announcement and execution is where the risk lives.
Canada has been actively courting AI infrastructure investment, and Ontario’s relatively affordable power grid compared to major US data center markets gives the location a cost advantage. But building a facility of this scale on schedule and on budget is a monumental operational challenge, even for companies with deep experience in large construction projects. Hive is not one of those companies.
The competitive landscape is also worth watching. Hive isn’t the only former crypto miner chasing AI compute dollars. Core Scientific has secured deals with CoreWeave, and Iris Energy has been expanding its own GPU hosting capabilities. The question for Hive is whether it can differentiate on location, cost structure, or customer relationships in a market that’s getting crowded fast.
Investors should pay close attention to financing announcements over the coming quarters. A CAD $3.5 billion commitment needs to be backed by capital, not just press releases. The land purchases totaling $58M show real money moving, which is a start. But the distance between 25 acres of Ontario real estate and a fully operational 320 MW AI gigafactory is measured in billions of dollars and years of execution risk.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
PANews reported on June 2nd that, according to BitcoinTreasuries.NET, Canadian-listed Bitcoin mining company Hive Digital (HIVE) sold 331 Bitcoins in the first quarter of 2026, currently holding only 150. Hive Digital's reduction of its Bitcoin holdings to 150 in the "Bitcoin 100" list has dropped it out of the top 96th position on the list of major holdings.
In brief Hive Digital Technologies nearly tripled revenue to $297.8 million in fiscal 2026, driven by surging Bitcoin prices and a fourfold increase in mining capacity. The company mined 2,885 Bitcoin for the year while expanding into AI computing, with its BUZZ HPC division growing 94% to $19.5 million in revenue. HIVE is now betting big on AI infrastructure, announcing plans for a massive 320-megawatt data center near Toronto intended to become Canada's largest private AI facility. Hive Digital Technologies reported a sharp revenue surge for its fiscal year ending March 31, fueled by last year’s soaring Bitcoin prices and a rapidly expanding computing business, as the Canadian miner attempts to recast itself as a major player in artificial intelligence infrastructure.
The company posted total revenue of $297.8 million for fiscal 2026, a 158 percent increase from the prior year, driven primarily by a dramatic expansion of its Bitcoin mining operations.
Hive mined 2,885 Bitcoin during the year—more than double the 1,414 it mined in fiscal 2025—while benefiting from an average Bitcoin price of roughly $98,000, compared to about $75,900 the year before.
Despite rising mining rewards last year, the company’s Bitcoin holdings actually fell during the span. Hive reported holding 150 BTC—about $10 million worth—as of the end of the fiscal year, down from 481 BTC as of December 31.
But the company's ambitions extend well beyond cryptocurrency. Hive's high-performance computing division, branded BUZZ HPC, generated $19.5 million in revenue, up 94% year-over-year, and executives are positioning it as the company's engine for future growth.
In May, Hive announced plans for a 320-megawatt AI data center in the Greater Toronto Area, designed to house more than 100,000 Nvidia GPUs at full buildout—a project the company is calling Canada's largest planned AI infrastructure facility under private ownership. The company has set a target of $660 million in annualized recurring revenue from its computing business by the end of 2028.
The results were not without complications. HIVE reported a GAAP net loss of $148.4 million for the year, though the company said roughly $221 million of losses were non-cash items, including depreciation charges.
The company holds operations in Canada, Sweden, and Paraguay—all powered by green energy—with a total installed hash rate of 25.1 exahashes per second.
Hive (HIVE) shares are down about 2.6% on the day, recently trading at $4.63 per data from Yahoo Finance, but touched their highest price this year earlier in the session at $4.97.
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The $220 million deal will see HIVE provide sovereign AI computing infrastructure in Canada through a deployment of more than 2,300 Nvidia GPUs. The agreement is expected to add roughly $70 million in annual recurring revenue, pushing HIVE's contracted HPC revenue above $100 million.HIVE Digital Technologies (HIVE) shares jumped 10% in pre-market trading on Thursday after the company announced a $220 million, three-year GPU cloud contract with Bell Canada and AI firm Cohere, as the company continues its transition away from pure-play bitcoin mining.
The deal will see HIVE's BUZZ High Performance Computing unit deploy 2,304 Nvidia Grace Blackwell GPUs at Bell's AI Fabric facility in Merritt, British Columbia, forming the dedicated compute layer for Cohere's enterprise AI models serving Canadian government and corporate clients.
All infrastructure will remain on Canadian soil, supporting Ottawa's broader push to reduce reliance on foreign-controlled AI technology.
The deployment is expected to go live from late 2026 to early 2027, adding roughly $70 million in annual recurring revenue (ARR). Combined with approximately $35 million of current realised ARR, HIVE's contracted HPC revenue target now exceeds $100 million, a clear signal that its infrastructure pivot is gaining serious commercial momentum.
Santiment reports Bitcoin BEP2 leads BSC development. Flux and BNB also post high GitHub activity. Top 10 projects cover DeFi, privacy, cloud, and wallets.
Bitcoin BEP2 ranks highest in Binance Smart Chain developer activity, with Flux and BNB close behind. Santiment’s rankings focus on notable GitHub events, excluding vanity metrics for more accurate project tracking. Top projects span cloud computing, privacy upgrades, wallets, DeFi, and protocol governance across the ecosystem Development activity across Binance Smart Chain (BSC) and Binance Chain accelerated this month, according to data released by analytics firm Santiment.
The firm’s updated rankings, which track the ten most active projects based on GitHub activity, showed several shifts across the ecosystem, Santiment reported.
Bitcoin (BTC) BEP2 ranked first with 57.43 notable GitHub events over the last 30 days, maintaining the strongest development footprint across the BSC ecosystem, according to the data. FLUX, a decentralized cloud project, placed second with 212 development events recorded during the period.
BNB (BNB), Binance’s flagship asset, secured third place with 17.47 development events, the rankings showed.
Zcash (ZEC) maintained activity levels due to ongoing security and privacy upgrades, while Trust Wallet showed developer engagement as it expands cross-chain integrations and wallet functionalities, according to Santiment. Dusk remained active in the zero-knowledge and regulated finance sector, with development progress continuing along its roadmap.
The remainder of the top 10 included Band Protocol, Beefy Finance, 0x Protocol, and Saito. Santiment’s directional markers indicated some projects climbed the rankings while others experienced minor declines.
Santiment stated its rankings exclude vanity metrics such as commits or forks, instead relying on a methodology that tracks notable GitHub events to capture meaningful development work.
The data revealed developer activity distributed across multiple sectors including cryptocurrency and Binance-native assets, cloud computing, privacy, wallet infrastructure, protocol governance, DeFi yield optimization, and blockchain networking, according to Santiment’s visual analysis.
TL;DR: Uquid and Flux are partnering to power Web3 Shopping Day (Nov 24–Dec 7, 2025) by using FluxCloud + FluxEdge + FluxAgents as resilient backend infrastructure for high-traffic on-chain retail through Uquid marketplaces.
Who: This article is for merchants and Web3 shoppers who want more reliable, scalable, and auditable ecommerce infrastructure during peak demand.
What To Do: if you’re building a storefront, deploy your retail app on FluxCloud.
Next Steps: Visit the Uquid digital dApp marketplace to view how they’re decentralizing online shopping.
Web3 shopping is blockchain-powered retail; purchasing real-world goods and services on-chain with digital currencies. This differs from traditional online shopping, as users have much more control over their purchase journeys.
Features like account abstraction, which allows smart contracts to function as personal wallets, remove intermediary custodians, enable unique and customizable shopping experiences, and strengthen data security practices.
Uquid is a decentralized e-commerce platform specializing in frontend customer interactions that bridges traditional online purchasing with on-chain retail. The Uquid digital marketplace enhances Web3 shopping by connecting consumers directly with products without any middleman custody. On the backend, InFlux Technologies (Flux) is a global decentralized cloud network that enhances Web3 shopping by providing scalable compute for merchant-built retail applications.
Together, with Uquid handling customer interactions and payment processes through an intuitive interface on the frontend, and Flux providing resilient and decentralized infrastructure for e-commerce app development on the backend, these projects are showcasing a commitment and ability to shape the next generation of trust-based shopping. This will be on full display as Uquid and Flux work side by side to drive home this year’s Web3 Shopping Day—a global retail event running from November 24 to December 7, 2025.
The Flux ecosystem (Influx Technologies) enhances on-chain e-commerce during high-demand shopping events such as Web3 Shopping Day by providing merchants and vendors with a resilient development infrastructure for deploying customizable retail applications that smoothly facilitate customer journeys.
A resilient infrastructure layer powering vendor applications is critical, as it ensures reliable uptime during seasonal, high-demand shopping events like Web3 Shopping Day, which drive significant consumer traffic.
Three components of the Flux ecosystem specifically enhance the Web3 shopping experience: FluxCloud, FluxEdge, and FluxAgents.
FluxCloud is a global, decentralized cloud network run by independently operated, physically distributed computational FluxNodes, from which users can deploy containerized digital storefronts. FluxCloud offers merchants automated deployment management, built-in resilience and redundancy, and total control over deployment data, such as customer transaction records and purchase histories.
FluxEdge is a decentralized compute marketplace that harnesses underutilized bandwidth from idle personal devices, such as smartphones and laptops, to power digital storefronts and retail applications with cost-effective, scalable compute sourced from high-quality GPUs. So, if a merchant app’s customer traffic spikes, FluxEdge’s computing resources can be scaled elastically in real time to accommodate sudden fluctuations in demand and traffic volume.
FluxAgents are private, customizable, intelligent workflows that can fit with legacy stacks to break down isolated data silos, improve system interoperability, and automate redundant operations. To preserve data integrity, FluxAgent automation permissions are entirely configured by users. FluxAgent automations enable human-in-the-loop feedback at every step of an agent’s workflow, ensuring complete user control over AI deployments for automated shopping.
FluxAgents can be instrumental in enhancing Web3 shopping for consumers and merchants by automating procurement and customer follow-up, reducing customer data sprawl across vendor portals, and integrating programmatically into smart contract logic for automated shopping.
By enabling merchants with localized development infrastructure that maintains constant uptime through distributed hardware, the Flux ecosystem can be leveraged to build and launch streamlined, high-performing retail applications and digital storefronts that are responsive, automated with agent workflows, and feature zero latency. This means faster checkout processes, reduced shopping cart abandonment, and overall improved customer satisfaction.
Uquid makes Web3 Shopping Day possible; it is a commerce behemoth that aggregates millions of products for its marketplace and supports endless real-time product queries. Additionally, Uquid’s decentralized commerce rails span physical product verification, automated shopping, supplier matching, and DeFi-based token rewards, all of which require data integrity and sovereignty, censorship-resistant and tamper-proof automation, and stable execution enabled by distributed computing resources.
To significantly enhance the Web3 shopping experience, the Flux ecosystem can serve as Uquid’s unified trust and execution layer, enabling seamless product verification and fluid, automated shopping systems for agentic purchasing.
Together, these layers form a decentralized, scalable infrastructure that is essential for maintaining stable automation and efficient product verification during peak transaction periods in a high-traffic ecommerce event like Web3 Shopping Day.
Trust Layer Uquid’s physical shop already delivers on-chain product authenticity, providing complete product information to users before any goods even ship through NFT authentication. As the trust layer, Flux can drastically scale this by hosting:
Immutable warranty verification services Authenticity scoring and vendor reputation models Fraud detection services Distributed/sharded product and consumer metadata archives This ensures that every product authenticity check, warranty lookup, and fraud signal event stems from a tamper-proof compute environment that cannot be altered internally or censored externally.
Execution Layer Uquid leverages programmatic smart contract-guided workflows that automatically match buyers, merchants, and suppliers to create customizable purchase journeys for Web3 shopping. The Flux ecosystem can augment this with an AI agent execution layer that processes all automations and intelligent workflow logs using decentralized compute.
Computational FluxNodes, integrated with AI agents, can power:
Inventory lookup engines “Buy Now Pay Later” (BNPL) credit checks Reward-issuance automations Coupon/promotion verification Agentic wallet operations like purchase/sell orders This ensures that Uquid’s automated commerce logic executes efficiently and remains auditable and transparent.
Combining Trust with Execution When combined, the trust and execution layers form a unified layer that verifies every product, seller, buyer, and transaction, automatically executes every agent workflow and assigned task from product filtering to checkout processes, and removes all centralized dependencies with single points of failure.
Flux and Uquid are working together to reshape retail through resilient infrastructure and decentralized ecommerce boosted with intelligence, enabling consumers with greater control over their purchase journeys and vendor applications with reliable network uptime.
So, whether browsing casually or looking for a great deal during this year’s Web3 Shopping Day event, Uquid and Flux ensure smooth customer interactions, low-latency merchant applications, and seamless checkouts, enhancing the Web3 shopping experience.
In brief The new Z-Image model runs on 6GB VRAM—hardware Flux2 can't even touch. Z-Image already has 200+ community resources and over a thousand positive reviews versus Flux2's 157 reviews. It is ranked as the best open-source model to date. Alibaba's Tongyi Lab Z-Image Turbo, a 6-billion-parameter image generation model, dropped last week with a simple promise: state-of-the-art quality on hardware you actually own.
That promise is landing hard. Upon days of its release, developers had been cranking out LoRAs—custom fine-tuned adaptations—at a pace that's already outstripping Flux2, Black Forest Labs' much-hyped successor to the wildly popular Flux model.
Z-Image's party trick is efficiency. While competitors like Flux2 demand 24GB of VRAM minimum (and up to 90GB for the full model), Z-Image runs on quantized setups with as little as 6GB.
That's RTX 2060 territory—basically hardware from 2019. Depending on the resolution, users can generate images in as little as 30 seconds.
For hobbyists and indie creators, this is a door that was previously locked.
The AI art community was fast to praise the model.
"This is what SD3 was supposed to be," wrote user Saruhey on CivitAI, the world's largest repository of open source AI art tools. "The prompt adherence is pretty exquisite... a model that can do text right away is game-changing. This thing is packing the same, if not better, power than Flux is black magic on its own. The Chinese are way ahead of the AI game."
Z-Image Turbo has been available on Civitai since last Thursday and has already gotten over 1,200 positive reviews. For context, Flux2—released a few days before Z-Image—has 157.
The model is fully uncensored from scratch. Celebrities, fictional characters, and yes, explicit content are all on the table.
As of today, there are around 200 resources (finetunes, LoRAs, workflows) for the model on Civitai alone, many of which are NSFW.
On Reddit, user Regular-Forever5876 tested the model's limits with gore prompts and came away stunned: "Holy cow!!! This thing understands gore AF! It generates it flawlessly," they wrote.
The technical secret behind Z-Image Turbo is its S3-DiT architecture—a single-stream transformer that processes text and image data together from the start, rather than merging them later. This tight integration, combined with aggressive distillation techniques, enables the model to meet quality benchmarks that usually require models five times its size.
We ran Z-Image Turbo through extensive testing across multiple dimensions. Here's what we found.
Speed: SDXL Pace, Next-Gen QualityAt nine steps, Z-Image Turbo generates images at roughly the same speed as SDXL, with the usual 30 steps—a model that dropped back in 2023.
The difference is that Z-Image's output quality matches or beats Flux. On a laptop with an RTX 2060 GPU with 6GB of VRAM, one image took 34 seconds.
Flux2, by comparison, takes approximately ten times longer to generate a comparable image.
Realism: The new benchmarkZ-Image Turbo is the most photorealistic open-source model available right now for consumer-grade hardware. It beats Flux2 outright, and the base distilled model outperforms dedicated realism fine-tunes of Flux.
Skin and hair texture look detailed and natural. The infamous "Flux chin" and "plastic skin" are mostly gone. Body proportions are consistently solid, and LoRAs enhancing realism even further are already circulating.
Text generation: Finally, words that workThis is where Z-Image truly shines. It's the best open-source model for in-image text generation, performing on par with Google's Nanobanana and Seedream—models that set the current standard.
For Mandarin speakers, Z-Image is the obvious choice. It understands Chinese natively and renders characters correctly.
Pro tip: Some users have reported that prompting in Mandarin actually helps the model produce better outputs, and the developers even published a "prompt enhancer" in Mandarin.
English text is equally strong, with one exception: uncommon long words like "decentralized" can trip it up—a limitation shared by Nanobanana too.
Spatial awareness and prompt adherence: ExceptionalZ-Image's prompt adherence is outstanding. It understands style, spatial relationships, positions, and proportions with remarkable precision.
For example, take this prompt:
A dog with a red hat standing on top of a TV showing the words “Decrypt 是世界上最好的加密货币与人工智能媒体网站” on the screen. On the left, there is a blonde woman in a business suit holding a coin; on the right, there is a robot standing on top of a first aid box, and a green pyramid stands behind the box. The overall scenery is surreal. A cat is standing upside down on top of a white soccer ball, next to the dog. An Astronaut from NASA holds a sign that reads "Emerge" and is placed next to the robot.
As noticeable, it had only one typo, probably because of the language mixture, but other than that, all the elements are accurately represented.
Prompt bleeding is minimal, and complex scenes with multiple subjects stay coherent. It beats Flux on this metric and holds its own against Nano Banana.
What's next?Alibaba plans to release two more variants: Z-Image-Base for fine-tuning, and Z-Image-Edit for instruction-based modifications. If they land with the same polish as Turbo, the open-source landscape is about to shift dramatically.
For now, the community's verdict is clear: Z-Image has taken Flux's crown, much like Flux once dethroned Stable Diffusion.
The real winner will be whoever attracts the most developers to build on top of it.
But if you asked us, yeah, Z-Image is our favorite home-oriented open source model right now.
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In brief The new Z-Image model runs on 6GB VRAM—hardware Flux2 can't even touch. Z-Image already has 200+ community resources and over a thousand positive reviews versus Flux2's 157 reviews. It is ranked as the best open-source model to date. Alibaba's Tongyi Lab Z-Image Turbo, a 6-billion-parameter image generation model, dropped last week with a simple promise: state-of-the-art quality on hardware you actually own.
That promise is landing hard. Upon days of its release, developers had been cranking out LoRAs—custom fine-tuned adaptations—at a pace that's already outstripping Flux2, Black Forest Labs' much-hyped successor to the wildly popular Flux model.
Z-Image's party trick is efficiency. While competitors like Flux2 demand 24GB of VRAM minimum (and up to 90GB for the full model), Z-Image runs on quantized setups with as little as 6GB.
That's RTX 2060 territory—basically hardware from 2019. Depending on the resolution, users can generate images in as little as 30 seconds.
For hobbyists and indie creators, this is a door that was previously locked.
The AI art community was fast to praise the model.
"This is what SD3 was supposed to be," wrote user Saruhey on CivitAI, the world's largest repository of open source AI art tools. "The prompt adherence is pretty exquisite... a model that can do text right away is game-changing. This thing is packing the same, if not better, power than Flux is black magic on its own. The Chinese are way ahead of the AI game."
Z-Image Turbo has been available on Civitai since last Thursday and has already gotten over 1,200 positive reviews. For context, Flux2—released a few days before Z-Image—has 157.
The model is fully uncensored from scratch. Celebrities, fictional characters, and yes, explicit content are all on the table.
As of today, there are around 200 resources (finetunes, LoRAs, workflows) for the model on Civitai alone, many of which are NSFW.
On Reddit, user Regular-Forever5876 tested the model's limits with gore prompts and came away stunned: "Holy cow!!! This thing understands gore AF! It generates it flawlessly," they wrote.
The technical secret behind Z-Image Turbo is its S3-DiT architecture—a single-stream transformer that processes text and image data together from the start, rather than merging them later. This tight integration, combined with aggressive distillation techniques, enables the model to meet quality benchmarks that usually require models five times its size.
We ran Z-Image Turbo through extensive testing across multiple dimensions. Here's what we found.
Speed: SDXL Pace, Next-Gen QualityAt nine steps, Z-Image Turbo generates images at roughly the same speed as SDXL, with the usual 30 steps—a model that dropped back in 2023.
The difference is that Z-Image's output quality matches or beats Flux. On a laptop with an RTX 2060 GPU with 6GB of VRAM, one image took 34 seconds.
Flux2, by comparison, takes approximately ten times longer to generate a comparable image.
Realism: The new benchmarkZ-Image Turbo is the most photorealistic open-source model available right now for consumer-grade hardware. It beats Flux2 outright, and the base distilled model outperforms dedicated realism fine-tunes of Flux.
Skin and hair texture look detailed and natural. The infamous "Flux chin" and "plastic skin" are mostly gone. Body proportions are consistently solid, and LoRAs enhancing realism even further are already circulating.
Text generation: Finally, words that workThis is where Z-Image truly shines. It's the best open-source model for in-image text generation, performing on par with Google's Nanobanana and Seedream—models that set the current standard.
For Mandarin speakers, Z-Image is the obvious choice. It understands Chinese natively and renders characters correctly.
Pro tip: Some users have reported that prompting in Mandarin actually helps the model produce better outputs, and the developers even published a "prompt enhancer" in Mandarin.
English text is equally strong, with one exception: uncommon long words like "decentralized" can trip it up—a limitation shared by Nanobanana too.
Spatial awareness and prompt adherence: ExceptionalZ-Image's prompt adherence is outstanding. It understands style, spatial relationships, positions, and proportions with remarkable precision.
For example, take this prompt:
A dog with a red hat standing on top of a TV showing the words “Decrypt 是世界上最好的加密货币与人工智能媒体网站” on the screen. On the left, there is a blonde woman in a business suit holding a coin; on the right, there is a robot standing on top of a first aid box, and a green pyramid stands behind the box. The overall scenery is surreal. A cat is standing upside down on top of a white soccer ball, next to the dog. An Astronaut from NASA holds a sign that reads "Emerge" and is placed next to the robot.
As noticeable, it had only one typo, probably because of the language mixture, but other than that, all the elements are accurately represented.
Prompt bleeding is minimal, and complex scenes with multiple subjects stay coherent. It beats Flux on this metric and holds its own against Nano Banana.
What's next?Alibaba plans to release two more variants: Z-Image-Base for fine-tuning, and Z-Image-Edit for instruction-based modifications. If they land with the same polish as Turbo, the open-source landscape is about to shift dramatically.
For now, the community's verdict is clear: Z-Image has taken Flux's crown, much like Flux once dethroned Stable Diffusion.
The real winner will be whoever attracts the most developers to build on top of it.
But if you asked us, yeah, Z-Image is our favorite home-oriented open source model right now.
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TLDR; InFlux has partnered with the ethical AI firm Strateji to build Africa’s first decentralized cloud network and close the continent’s digital divide.
Who; This article is for FluxNode operators in Africa to see what we are bringing to the region next!
What To Do; Check out Strateji.io to view how they’re reshaping digitization in Africa.
Next Steps; Launch a node on FluxCloud and supply compute.
Introduction InFlux Technologies has partnered with Strateji to bridge the digital divide in Africa, establishing the continent’s first decentralized cloud network to power sustainable AI development.
What is Africa’s digital divide? The digital divide—the disparity between those with access to the internet and those without—remains a pertinent issue across Africa, as the continent has more people without internet access than any other region in the world.
In most regions, the majority of domestic populations have internet access. However, in Africa, only 36% of the population had internet access as of 2022, well below global averages. Internet infrastructure is costly, and Arica exhibits substantial variation in broadband access and affordability.
Northern Africa offers some of the cheapest mobile data rates globally, whereas Sub-Saharan Africa has some of the most expensive; this polarity results in higher average internet costs in urban areas that can build computing infrastructure. Nonetheless, Africa is vast, and much of it is extremely rural and difficult to access.
Furthermore, conflicts and urban wealth concentrations make rural infrastructure development extremely costly. Additionally, digital literacy in Africa is below global averages, with many national curricula omitting it entirely.
What is this partnership? This partnership will pair Strateji’s AI stack with Flux’s globally distributed computing infrastructure to power the Amanzi Cloud, Africa’s first decentralized cloud network for AI development.
Distributed computing refers to infrastructure that powers internet connectivity, owned and operated by independent hardware providers rather than large centralized conglomerates such as AWS or Google Cloud.
Personal computing devices, such as laptops, can be added to the FluxCloud network to provide processing power for app development, AI inference, and web traffic management.
Because hardware providers are globally distributed, compute can be sourced from diverse regions closer to where end-users are accessing the internet, enabling local computing. Making it possible for rural and remote areas of Africa to receive digital services, closing the divide.
Strateji is bringing ethical AI to Africa and leveraging decentralized technologies to do so. Flux’s decentralized cloud means that no single authority can monopolize compute flows or shut down network operations, ensuring redundancy in regions with political tensions and travel advisories.
Additionally, because many independent compute providers contribute their hardware to the FluxCloud network, there are no single points of failure.
This partnership demonstrates Flux’s ability to diversify into markets without internet access, boost digital literacy, and expand access in rural areas. With Strateji, we will close the digital divide. The future runs on Flux.
Flux ecosystem, a decentralized cloud infrastructure that provides advanced computational resources for developers to build Web3 applications, today announced a strategic partnership with CZR Exchange, a cryptocurrency exchange that simplifies and secures people’s crypto trading journey. The collaboration enabled CZR Exchange to integrate Flux’s cloud computing infrastructure into its crypto trading platform, a move that aims to support developers in the CZR network.
CZR Exchange is a cryptocurrency exchange and wallet whose headquarter is based in the Cayman Islands. The exchange combines cutting-edge financial products, powerful trading tools, and institutional-level security features into a single unified platform serving the interests of both institutional investors and retail customers. With its integrated exchange and wallet ecosystem, CZR enables users to efficiently store, manage, and trade virtual assets through compliance, transparency, and constant innovation.
CZR Boosting DApps Development Using Flux Cloud CZR Exchange utilizes this collaboration as a strategy to advance the growth of its crypto trading ecosystem by offering developers on its platform access to Flux’s wide variety of computing services and resources. By leveraging Flux’s decentralized cloud infrastructure, developers on the CZR exchange will be able to build and scale their DApps (decentralized applications) rapidly and seamlessly.
Flux is a decentralized cloud-based computing network designed to enable developers to build and deploy scalable, multi-chain blockchain applications. The Flux ecosystem offers environment-agnostic development systems that help Web3 developers to create decentralized applications with various design options. Its native cryptocurrency, called FLUX, is used for various applications, including payment, trading, staking, and several others.
The collaboration above provides builders developing DApps on the CZR Exchange with access to Flux’s Baas (blockchain-as-a-service) solution. This Baas solution offers CZR builders innovative, wide-ranging tools for developing and deploying decentralized applications on the crypto exchange. Flux will also provide technical assistance and resources to CZR builders, including allowing them to access Flux’s machine learning and AI tools to help improve the performance and functionality of their blockchain applications.
Driving Innovation in DeFi and Ecosystem Growth Through the partnership with Flux, CZR Exchange is well-equipped to expand the efficiency of its crypto trading network and even attract more builders to develop applications on its platform. The collaboration shows CZR’s and Flux’s commitment towards driving growth and innovation within the DeFi landscape while supporting the advancement of the broader blockchain ecosystem.
The alliance between CZR and Flux is a crucial step towards developing and supporting the decentralized finance environment. By offering builders access to powerful cloud computing services and resources, Flux and CZR are set to develop a stronger and more accessible decentralized ecosystem.
AUTHOR
Nicholas Otieno is a fintech writer specializing in cryptocurrency markets. Since 2019, he has written articles to educate readers about cryptocurrency and its substantial positive impact on global prosperity. Nicholas is a Bitcoin holder, believing firmly in its fundamentals. His work has been featured in publications such as Finance Magnates, Blockchain.News, Bitcoin Magazine, Coincub, and among others. When he's not writing, Nicholas enjoys performing domestic tasks, spending time with friends, listening to music, and watching football.
Messari’s State of DePIN Report 2025 found that infrastructure revenues and token values are in the red and will continue to decline across every major project in the decentralized physical infrastructure network narrative.
Flux operates in the general-purpose compute sector of the DePIN landscape, with FluxCloud, a decentralized cloud network, and FluxEdge, a P2P distributed compute and GPU network, supplying processing power for app development and AI inference.
We know the Flux community may be struggling right now due to broader conditions in the crypto market. So, in today’s blog, we will provide a general overview of Flux’s current standing relative to other top general-purpose compute projects that also offer distributed processing power for app development. Let’s dive in!
What is Akash? Akash Network is a decentralized cloud marketplace for containerized applications, where development teams can purchase distributed compute resources tailored to their application specifications. Users describe the resources they need (CPU/RAM/storage/GPU) in a YAML file, then independent compute providers bid on the file to host the app.
Compute capacity on Akash is rented on short-term leases, and users can select hosting bids from providers based on resource pricing and location. Once a provider is selected and the compute is leased, app containers run on the provider’s hardware, and users pay as they go.
Akash Network Resources: CPU (vCPU / cores): 9,286.80 GPU (count): 265 RAM: 76.28 TB Storage: 690.17 TB Why Flux Over Akash? Akash is a lease-driven cloud marketplace, meaning that compute providers come and go, leases expire, and deployed apps are guaranteed to remain reachable at the same endpoint. Users are responsible for managing their own endpoints if they have multiple deployments, their app requires external routing, or they need failover.
FluxCloud’s advantage over Akash is that it’s less about “compute supply” and more about “platform supply,” providing holistic runtime environments for deployments that ensure apps run stably and efficiently over time.
FluxCloud supports single- and multi-instance deployments, keeping application state consistent across multiple independent nodes. If one node fails, FluxCloud assigns runtime workloads to another instance, enabling automatic failover for greater network redundancy.
Now, Akash deployments are Docker-based: users tediously construct a Dockerfile → push it to an app framework registry → and then manually maintain states in an app manifest.
FluxCloud’s Deploy with Git feature eliminates this process entirely: application frameworks are detected, and runtime environments are configured automatically, allowing users to deploy apps directly from GitHub repositories with just a repo URL and no Dockerfiles. Deploy with Git means apps will run without having to painstakingly register an app or stand up a container.
What is CUDOS? The CUDOS Intercloud is a globally decentralized cloud infrastructure that connects developers to scalable, cost-effective distributed resources for running high-performance computing (HPC) servers.
Users select a location and their desired GPU, and Intercloud spins up a virtual machine (VM) that serves as a standard server for content delivery and handling requests.
Redundancy is achieved by spinning up and provisioning multiple VMs, and users must configure their own load balancing (distributing network traffic across multiple servers) to ensure data availability.
CUDOS Network Resources: CPU: 12,000+ processor cores RAM: 26,000 GiB Storage: 575 TB Why Flux Over CUDOS? CUDOS primarily provides servers that deliver static content for processed app data and API requests. Flux’s advantage is that it provides a broader range of services—not just servers but also runtimes (application execution environments) that execute logic.
CUDOS Intercloud VMs require users to manage their own application layers, including OS installation, patching, bug fixes, load scaling, and codebase audits. FluxCloud handles all of that with fully managed deployments, automatically balancing loads and pushing updates and new features.
What is Stratos? Stratos is a decentralized storage network that splits files and documents into encrypted shards and stores them across a distributed network of nodes. Stratos provides storage capacity and bandwidth for data transfers between nodes, enabling high availability for users.
Stratos Network Resources: Storage Capacity: 34.78 PB Storage Nodes: 1,538 Total bandwidth: 150 GB/s Why Flux Over Stratos? Flux’s advantage over Stratos is its complete compute ecosystem, with standardized resource provisioning and extensive hosting capabilities. Whereas Stratos functions exclusively as a storage network, providing capacity, storage nodes, and bandwidth for file transfers.
Stratos is well-suited for decentralized storage and data delivery. Still, if you need an always-on infrastructure for compute scheduling, instance replication for failover, and stable service endpoints, FluxCloud is the right choice.
What is Golem? Golem Network functions similarly to FluxEdge: it’s a decentralized compute marketplace where independent contributors provide resources to the network, which users pay to run app workloads on. Golem is an open-source protocol that allows anyone to join the network as a contributor. Contributors rent out excess compute and earn $GLM tokens for doing so.
Golem Network Resources: Contributors: 1,476 CPU: 10,209 cores (14,521 threads) Golem is built around execute-and-return workloads, in which tasks are submitted to the network in batches for bulk execution. These are short-term workloads that run until completion and involve little human interaction. Golem is ideal for temporary compute tasks, such as pushing an application update, but not for long-term workloads, such as app hosting.
Why Flux Over Golem? Flux’s advantage over Golem is that it’s built around long-term, host-and-serve workloads that run continuously and wait for and respond to external API requests. Host-and-serve workloads are needed to run uninterrupted application hosting.
Additionally, Golem workflows are Docker-centric and require users to convert application Docker images into Golem Virtual Machine Images.
Docker images are blueprints for applications that define all application logic and outline the app’s codebase. Golem offers image packaging that automatically converts Docker images, but users still must configure their own files first.
FluxCloud’s Deploy with Git feature completely bypasses the need for Dockerfiles, allowing users to deploy apps directly from Git repositories. Simply paste a Git URL, click deploy, and let FluxCloud handle your app’s runtime, with new updates and changes to the app repo syncing automatically. No Docker images required.
What is Aethir? Aethir is a decentralized compute network designed for GPU-heavy workloads around AI training and gaming. Rather than offering general-purpose compute for typical daily app workloads, Aethir provides a large pool of distributed GPU resources for complex tasks.
Aethir Network Resources: GPU containers: 440,000+ Geographic footprint: 94 countries, 200+ locations Cumulative compute delivered: 1.2B+ compute hours Why Flux Over Aethir? Flux’s advantage over Aethir is architectural: Aethir focuses on supplying raw GPU power, whereas Flux provides GPU power and the CPU-side components, such as state monitoring and an API layer, that apps need to function.
Most app deployments require more than compute to work; they also require background services that always run and demand continuous resource support, such as:
The API that receives requests User login/authentication Rate limiting (to prevent abuse) Job queues Orchestration (coordinating everything) State Monitoring Databases FluxCloud is built to run this always-on backend service layer, keeping it accessible with automatic failover even when GPUs fail. Flux runs these always-on backend services as replicated instances, so when the primary node executing an app workload goes down, instances are automatically replaced, and workloads are reassigned without restarting.
Aethir excels at providing GPUs, but dev teams can underestimate the critical role of non-GPU infrastructure in app deployments. That’s where Flux takes the lead: it provides complete, resilient systems, GPUs, and all the accompanying backend app services.
Conclusion If there is one takeaway from the state of general-purpose compute networks in 2026, it’s that decentralized resources support very different app runtime models. Akash operates a compute marketplace where capacity is supplied via leased machines.
CUDOS is akin to a traditional VM-based cloud network, where redundancy is built through user-managed instances, and scale is achieved through manual infrastructure tooling.
Stratos is a decentralized storage network; Golem provides compute via a distributed GPU infrastructure; and Aethir supplies raw GPU power for complex AI and gaming tasks.
Compared with Flux, these other compute networks lack holistic runtime capabilities. Whether users are running a temporary workload, an “always-on” backend service that requires continuous compute, a storage container, or a full backend-to-frontend GPU pipeline for app deployment, Flux can deliver.
FluxCloud’s multi-instance hosting and automatic replacement of failed instances are designed to keep long-lived services reachable, maximizing redundancy. Additionally, Deploy with Git enables app deployments directly from Git repositories without requiring manually configured Dockerfiles.
Our network isn’t just a place to buy computing resources; it’s an entire runtime ecosystem for holistic app hosting and operations, from development to deployment. The future runs on Flux.
PANews reported on March 22 that Venus Protocol announced on its X platform that USR trading on the Venus Flux market has been suspended due to a de-pegging of the stablecoin USR. Venus Core is unaffected, and all user funds are safe. The company is actively monitoring the situation and will provide updates as more information becomes available.
Author: PA一线
This content is for market information only and is not investment advice.
Stifel: U.S. economy in "overheated expansion" as AI investment cycle outweighs consumer pressure
U.S. large diversified financial services holding company Stifel has raised its year-end S&P 500 target and rolled out a stock allocation framework for a "high-growth, high-inflation" environment. The firm lifted its year-end S&P 500 target to 7,800 points, noting the U.S. economy is entering a "running hot" state—where economic growth is strengthening alongside mounting inflationary pressure. Stifel’s models show U.S. growth momentum is picking up while inflation momentum is clearly overheating, a trend that will reshape the market’s leading sector structure in the second half of the year. Instead of traditional consumer sectors, Stifel’s top picks are investment-led cyclical industries, including banks, transportation, materials, energy, semiconductors, software and equipment. The firm adds that fixed-asset investment in AI remains on the rise: large tech firms including Amazon, Microsoft, Meta and Google are projected to combine for roughly $725 billion in total capital expenditures in 2026, some $100 billion higher than prior estimates. This means the AI investment chain is likely to continue outperforming the consumption chain squeezed by inflation. Stifel advises investors to reduce exposure to discretionary consumer, consumer staples, communication services and some financial services sectors, as these areas see weaker earnings revisions. Conversely, the firm favors cyclical value stocks and hedges with defensive value sectors such as insurance, autos, energy and banks.
2 minutes ago
Analyst: Micron's earnings boost overall market sentiment for the tech sector
Chris Strazzeri, Financial Trading Manager of Moomoo’s Australia and New Zealand branch, stated: “The targeted sell-off indicates that following a sustained, strong rally in AI-related and speculative growth stocks, investors are enforcing strict valuation discipline. This serves as a warning to the market that actual earnings levels must now rise to support the currently overvalued price-to-earnings ratio. Micron Technology’s post-market earnings results largely confirm this, and its robust performance has lifted overall market sentiment in the tech sector.”
2 minutes ago
2x Leveraged Long DRAM ETF (RAM) Records $383 Million in Trading Volume on Its First Day of Listing
According to Bitget market data, the Roundhill T-REX 2X Long DRAM Daily Target ETF (Nasdaq ticker: RAM) officially launched trading yesterday. On its first trading day, the fund recorded a total turnover of $383 million, and rose 29.47% in after-hours U.S. stock trading to hit $30.8. Note: RAM’s underlying exposure covers companies engaged in memory-related technologies, including DRAM, NAND and storage solutions, targeting active traders seeking leveraged exposure to the memory chip theme and artificial intelligence infrastructure development.
2 minutes ago
BCA Research raises its S&P 500 target to 8,100 points, with AI remaining a core variable.
BCA Research has become the latest strategy firm to raise its US stock market target, reflecting Wall Street’s growing optimism about earnings support for US equities in the second half of the year. The institution lifted its year-end S&P 500 target from 7,700 points to 8,100 points. BCA’s core view is that first-quarter corporate earnings exceeded expectations in both strength and breadth, and the US economy has re-entered an expansion phase. Similar to JPMorgan Chase, BCA believes this stock rally is not only driven by valuation expansion—earnings themselves are delivering the index’s gains. AI remains the core variable in this assessment. Large tech firms including Alphabet, Microsoft, Amazon, Meta and Oracle continue to increase capital spending on data centers and AI infrastructure, driving growth in orders for chips, servers, construction, power and related industrial chains. This provides a clearer fundamental basis for upward revisions to 2026 and 2027 earnings. The institution points out that risks exist: the earnings expansion brought by AI investments has already been quickly priced into the market. If subsequent returns on capital spending are questioned, or interest rates remain elevated, further upside for the index will require more earnings confirmation rather than relying solely on investor risk appetite.
2 minutes ago
Tom Lee: Markets have nearly priced in two interest rate hikes from the Federal Reserve this year, and the rise in US Treasury yields is weighing on market sentiment.
Tom Lee said the market is still digesting Kevin Warsh’s remarks from his first press conference last week and repricing the macro environment. Over the past week, oil prices have pulled back, with war premiums contracting. Current oil prices are not far from the roughly $65 level seen before the conflict, indicating the market views related war risks as declining. On the other hand, 10-year U.S. Treasury yields continue to rise, now around 4.5%, higher than the pre-conflict level of roughly 4.2%. The main headwind the market has faced recently has shifted from oil prices to yields. Tom Lee noted that the market is not only focused on 10-year U.S. Treasury yields but also starting to price in potential additional interest rate hikes from the Federal Reserve. According to federal funds futures, the market is currently pricing in nearly two rate hikes this year. Bank of America further projected today that the Fed will raise rates three times this year, in September, October, and December respectively. Jeffrey Gundlach often emphasizes the importance of monitoring 2-year U.S. Treasury yields, as they typically lead the Fed and signal the central bank’s policy direction. Between 2023 and 2025, the relationship between 2-year U.S. Treasury yields and the federal funds rate indicated that the Fed’s policy was overly tight, requiring interest rate cuts. However, this relationship has recently reversed, meaning the Fed would need two rate hikes to catch up with 2-year U.S. Treasury yields. He believes that, at least for now, yields have become a headwind for the market.
2 minutes ago
Japan and South Korea's stock markets closed higher across the board, with Japan's stock market hitting a new closing high.
According to Bitget market data, the Nikkei 225 index closed up 3,191.37 points, or 4.61%, at 72,366.34 points on Thursday, June 25, hitting a new all-time closing high. South Korea’s KOSPI index rose 459.76 points (5.43%) to end at 8,930.78 points; SK Hynix surged 13% while Samsung Electronics gained more than 5%.
PANews reported on April 23 that, according to Cryptopolitan, Token Terminal data shows that the total value locked (TVL) of tokenized US Treasury bonds on-chain has surpassed $14 billion, setting a new record. Benji Fund, owned by Franklin Templeton, saw its on-chain assets grow by over 381% in the past month, becoming the fastest-growing issuer of tokenized debt. Tokenized Treasury bonds are primarily issued on Ethereum, with significant growth also observed on BNB and Solana. Currently, approximately 33,900 wallets hold tokenized Treasury bonds, nearing the historical peak. Holders are mainly DeFi teams and protocols, using tokenized Treasury bonds as collateral in lending protocols such as Morpho, Sky, and Flux. Based on an annualized yield of 3.68%, the $14 billion TVL could generate approximately $515 million in returns annually.
Messari’s State of DePIN Report 2025 found that infrastructure revenues and token values are in the red and will continue to decline across every major project in the decentralized physical infrastructure network narrative.
Flux operates in the general-purpose compute sector of the DePIN landscape, with FluxCloud, a decentralized cloud network, and FluxEdge, a P2P distributed compute and GPU network, supplying processing power for app development and AI inference.
We know the Flux community may be struggling right now due to broader conditions in the crypto market. So, in today’s blog, we will provide a general overview of Flux’s current standing relative to other top general-purpose compute projects that also offer distributed processing power for app development. Let’s dive in!
What is Akash? Akash Network is a decentralized cloud marketplace for containerized applications, where development teams can purchase distributed compute resources tailored to their application specifications. Users describe the resources they need (CPU/RAM/storage/GPU) in a YAML file, then independent compute providers bid on the file to host the app.
Compute capacity on Akash is rented on short-term leases, and users can select hosting bids from providers based on resource pricing and location. Once a provider is selected and the compute is leased, app containers run on the provider’s hardware, and users pay as they go.
Akash Network Resources: CPU (vCPU / cores): 9,286.80 GPU (count): 265 RAM: 76.28 TB Storage: 690.17 TB Why Flux Over Akash? Akash is a lease-driven cloud marketplace, meaning that compute providers come and go, leases expire, and deployed apps are guaranteed to remain reachable at the same endpoint. Users are responsible for managing their own endpoints if they have multiple deployments, their app requires external routing, or they need failover.
FluxCloud’s advantage over Akash is that it’s less about “compute supply” and more about “platform supply,” providing holistic runtime environments for deployments that ensure apps run stably and efficiently over time.
FluxCloud supports single- and multi-instance deployments, keeping application state consistent across multiple independent nodes. If one node fails, FluxCloud assigns runtime workloads to another instance, enabling automatic failover for greater network redundancy.
Now, Akash deployments are Docker-based: users tediously construct a Dockerfile → push it to an app framework registry → and then manually maintain states in an app manifest.
FluxCloud’s Deploy with Git feature eliminates this process entirely: application frameworks are detected, and runtime environments are configured automatically, allowing users to deploy apps directly from GitHub repositories with just a repo URL and no Dockerfiles. Deploy with Git means apps will run without having to painstakingly register an app or stand up a container.
What is CUDOS? The CUDOS Intercloud is a globally decentralized cloud infrastructure that connects developers to scalable, cost-effective distributed resources for running high-performance computing (HPC) servers.
Users select a location and their desired GPU, and Intercloud spins up a virtual machine (VM) that serves as a standard server for content delivery and handling requests.
Redundancy is achieved by spinning up and provisioning multiple VMs, and users must configure their own load balancing (distributing network traffic across multiple servers) to ensure data availability.
CUDOS Network Resources: CPU: 12,000+ processor cores RAM: 26,000 GiB Storage: 575 TB Why Flux Over CUDOS? CUDOS primarily provides servers that deliver static content for processed app data and API requests. Flux’s advantage is that it provides a broader range of services—not just servers but also runtimes (application execution environments) that execute logic.
CUDOS Intercloud VMs require users to manage their own application layers, including OS installation, patching, bug fixes, load scaling, and codebase audits. FluxCloud handles all of that with fully managed deployments, automatically balancing loads and pushing updates and new features.
What is Stratos? Stratos is a decentralized storage network that splits files and documents into encrypted shards and stores them across a distributed network of nodes. Stratos provides storage capacity and bandwidth for data transfers between nodes, enabling high availability for users.
Stratos Network Resources: Storage Capacity: 34.78 PB Storage Nodes: 1,538 Total bandwidth: 150 GB/s Why Flux Over Stratos? Flux’s advantage over Stratos is its complete compute ecosystem, with standardized resource provisioning and extensive hosting capabilities. Whereas Stratos functions exclusively as a storage network, providing capacity, storage nodes, and bandwidth for file transfers.
Stratos is well-suited for decentralized storage and data delivery. Still, if you need an always-on infrastructure for compute scheduling, instance replication for failover, and stable service endpoints, FluxCloud is the right choice.
What is Golem? Golem Network functions similarly to FluxEdge: it’s a decentralized compute marketplace where independent contributors provide resources to the network, which users pay to run app workloads on. Golem is an open-source protocol that allows anyone to join the network as a contributor. Contributors rent out excess compute and earn $GLM tokens for doing so.
Golem Network Resources: Contributors: 1,476 CPU: 10,209 cores (14,521 threads) Golem is built around execute-and-return workloads, in which tasks are submitted to the network in batches for bulk execution. These are short-term workloads that run until completion and involve little human interaction. Golem is ideal for temporary compute tasks, such as pushing an application update, but not for long-term workloads, such as app hosting.
Why Flux Over Golem? Flux’s advantage over Golem is that it’s built around long-term, host-and-serve workloads that run continuously and wait for and respond to external API requests. Host-and-serve workloads are needed to run uninterrupted application hosting.
Additionally, Golem workflows are Docker-centric and require users to convert application Docker images into Golem Virtual Machine Images.
Docker images are blueprints for applications that define all application logic and outline the app’s codebase. Golem offers image packaging that automatically converts Docker images, but users still must configure their own files first.
FluxCloud’s Deploy with Git feature completely bypasses the need for Dockerfiles, allowing users to deploy apps directly from Git repositories. Simply paste a Git URL, click deploy, and let FluxCloud handle your app’s runtime, with new updates and changes to the app repo syncing automatically. No Docker images required.
What is Aethir? Aethir is a decentralized compute network designed for GPU-heavy workloads around AI training and gaming. Rather than offering general-purpose compute for typical daily app workloads, Aethir provides a large pool of distributed GPU resources for complex tasks.
Aethir Network Resources: GPU containers: 440,000+ Geographic footprint: 94 countries, 200+ locations Cumulative compute delivered: 1.2B+ compute hours Why Flux Over Aethir? Flux’s advantage over Aethir is architectural: Aethir focuses on supplying raw GPU power, whereas Flux provides GPU power and the CPU-side components, such as state monitoring and an API layer, that apps need to function.
Most app deployments require more than compute to work; they also require background services that always run and demand continuous resource support, such as:
The API that receives requests User login/authentication Rate limiting (to prevent abuse) Job queues Orchestration (coordinating everything) State Monitoring Databases FluxCloud is built to run this always-on backend service layer, keeping it accessible with automatic failover even when GPUs fail. Flux runs these always-on backend services as replicated instances, so when the primary node executing an app workload goes down, instances are automatically replaced, and workloads are reassigned without restarting.
Aethir excels at providing GPUs, but dev teams can underestimate the critical role of non-GPU infrastructure in app deployments. That’s where Flux takes the lead: it provides complete, resilient systems, GPUs, and all the accompanying backend app services.
Conclusion If there is one takeaway from the state of general-purpose compute networks in 2026, it’s that decentralized resources support very different app runtime models. Akash operates a compute marketplace where capacity is supplied via leased machines.
CUDOS is akin to a traditional VM-based cloud network, where redundancy is built through user-managed instances, and scale is achieved through manual infrastructure tooling.
Stratos is a decentralized storage network; Golem provides compute via a distributed GPU infrastructure; and Aethir supplies raw GPU power for complex AI and gaming tasks.
Compared with Flux, these other compute networks lack holistic runtime capabilities. Whether users are running a temporary workload, an “always-on” backend service that requires continuous compute, a storage container, or a full backend-to-frontend GPU pipeline for app deployment, Flux can deliver.
FluxCloud’s multi-instance hosting and automatic replacement of failed instances are designed to keep long-lived services reachable, maximizing redundancy. Additionally, Deploy with Git enables app deployments directly from Git repositories without requiring manually configured Dockerfiles.
Our network isn’t just a place to buy computing resources; it’s an entire runtime ecosystem for holistic app hosting and operations, from development to deployment. The future runs on Flux.
Online gambling is witnessing a realignment in how players choose where to spend their time and money. The days of settling for the most familiar brand have been replaced by a culture of comparison, research, and informed decision-making that leaves no platform unchallenged regardless of how established its name might be. BetMGM, built on perhaps the most iconic brand in the entire history of casino entertainment, finds itself squarely within this new reality. The platform has not weakened. Its execution remains professional, its backing remains massive, and its brand continues to resonate with cultural authority that no competitor can fabricate. Yet the steady rise in searches for BetMGM alternatives confirms that authority and execution within the traditional framework are no longer enough to satisfy every corner of the market. ZunaBet, a crypto-native casino and sportsbook that launched in 2026, has attracted a growing share of that alternative interest by delivering a product so thoroughly aligned with what modern players want that its appeal feels less like disruption and more like natural progression.
BetMGM: When Heritage Becomes Both Asset and Anchor Table of Contents
BetMGM: When Heritage Becomes Both Asset and AnchorZunaBet: Attracting Interest Through Product Rather Than PedigreeThe Structural Reality of Crypto vs Traditional PaymentsPhysical Luxury vs Digital Dragon EvolutionWhat Growing Interest Signals The MGM name stands alone in casino culture. It evokes the spectacle of Las Vegas, the refinement of world-class hospitality, and the thrill that turned casino gaming into a global entertainment category. BetMGM was conceived to project that identity into digital gambling through a joint venture between MGM Resorts International and Entain. The partnership created a platform that holds licenses across a substantial portion of the US market and operates as one of the most prominent online gambling brands in America.
The product reflects the investment and expertise behind it. The sportsbook provides thorough coverage of NFL, NBA, MLB, NHL, college sports, and a wide selection of international competitions in football, tennis, golf, motorsports, and combat sports. The casino delivers a curated collection of slots, table games, and live dealer experiences from respected providers. The mobile app is polished and regularly maintained. BetMGM uniquely connects its online loyalty program to MGM Rewards, enabling players to earn points convertible to real-world luxury at physical MGM properties — hotel suites, fine dining, shows, and spa treatments.
Payments follow the established playbook. Bank accounts, debit and credit cards, PayPal, and comparable services handle transactions. These conventional methods provide the universal accessibility that a mainstream platform requires.
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Also known as Auxiliary Proof-of-Work or simply AuxPoW, merged mining enables you to mine multiple blockchains at the same time without spending additional energy on mining. It is carbon-neutral as it re-uses the proof from work already performed. It could be seen as someone (the miner) entering a lottery of sorts. With merged-mining the miner can submit the same lottery ticket and numbers to different lotteries (merge-mined blockchains), increasing their rewards.
Merged mining was first presented by Satoshi Nakamoto in 2010, and was subsequently introduced to Bitcoin Core. It can be considered a Bitcoin primitive. See Bitcoin's Merged Mining Specification.
From our perspective, it will be proven over time to be a critical component for incentivizing a robust and decentralized Bitcoin network as BTC block rewards will continue to diminish. Without merged-mining, revenue from mining Bitcoin would eventually be limited to Bitcoin’s flat network fees.
Furthermore, merged mining enables Bitcoin’s hashrate to be extensible and support blockchains that offer important utility beyond the scope and best-purpose of the Bitcoin protocol itself.
Note: Blockchains that naively use merge-mined settlement are subject to the same vectors of PoW in general. A solution now exists to solve those challenges, and it comes in the form of a hybrid consensus system that provides decentralized Finality on top of merged-mining. Such a solution is present in Syscoin. Dig into Syscoin's Finality.
For more information or to set up your miner(s) to merge-mine Syscoin, refer to the Merged Mining Setup Guide.
Infrastructure Revolution: Why Syscoin Is Moving Up the Stack
In 2014, launching a blockchain meant forking Bitcoin and hoping a small validator set could keep it secure. Most projects from that era made compromises that seemed reasonable at the time but proved fatal as markets matured and attackers grew more sophisticated.
Syscoin made a different choice. Instead of forking and hoping, it merged-mined with Bitcoin from the start. Every block produced on Syscoin benefited from the same hash rate that secures Bitcoin itself. No small validator set. No bootstrapping period. Just immediate access to the most powerful computational network in human history.
That decision, made over a decade ago, created the foundation for everything that followed.
Now, in 2025, Syscoin is moving up the stack. The base layer remains Bitcoin-secured through merged mining, but the infrastructure has evolved to support modular execution environments that inherit those same security guarantees while enabling sovereign, customizable scaling.
This isn’t a pivot. It’s the natural progression of a system built for endurance.
The UTXO FoundationSyscoin’s base layer uses Bitcoin’s UTXO model, not an account-based system like Ethereum. This choice matters more than most developers realize.
UTXO chains are inherently more parallelizable than account-based chains. When transactions reference specific unspent outputs instead of mutable account states, they can be processed concurrently without complex dependency tracking. This makes the base layer efficient for high-throughput data availability and value transfer.
But UTXO chains are not ideal for complex smart contracts. You can’t easily implement DeFi protocols or advanced application logic in a pure UTXO environment. Ethereum popularized the account-based model because it makes smart contract development more intuitive.
Most projects chose one model or the other. Syscoin chose both.
The UTXO base layer provides what it does best: efficient value transfer, robust data availability through Proof of Data Availability (PoDA), and Bitcoin-grade security through merged mining. Smart contract execution happens on NEVM, a fully EVM-compatible environment that lets Solidity developers deploy contracts while staying anchored to Syscoin’s Bitcoin-secured UTXO foundation.
Each layer is optimized for its purpose. No compromises.
Why NEVM MattersWhen Syscoin launched NEVM (Network Enhanced Virtual Machine), it wasn’t trying to become another EVM chain. The ecosystem already had dozens of those, each competing on marginal performance differences or venture capital backing.
NEVM exists to solve a specific architectural problem: how to enable EVM compatibility while maintaining Bitcoin security guarantees.
Most EVM-compatible chains achieve performance by reducing validator requirements or introducing governance layers that can modify consensus. They optimize for developer familiarity at the cost of decentralization.
NEVM maintains full EVM compatibility while anchoring every state transition to Syscoin’s UTXO layer, which is merged-mined with Bitcoin. Solidity contracts execute in a familiar environment using the same tools developers already know from Ethereum. But the security model is Bitcoin, not a small validator set running venture-backed infrastructure.
This means applications built on NEVM inherit a level of security that most EVM chains can’t provide. When Prime evaluated infrastructure options for their BTCFi platform, they considered Ethereum Layer 2s, Polygon, and standalone chains. They chose Syscoin because NEVM delivers EVM compatibility without compromising Bitcoin-native security.
That choice validates a decade of architectural decisions.
The ChainLocks InnovationOne of Syscoin’s most overlooked innovations is ChainLocks, which provides instant finality without compromising decentralization.
Most blockchains require multiple confirmations before transactions are considered final. Bitcoin recommends six confirmations, which takes about an hour. Ethereum needs 15 to 20 minutes for practical finality. This delay is acceptable for many use cases but problematic for applications that require immediate certainty.
ChainLocks leverages Syscoin’s masternode network to achieve finality within seconds. Once a block is ChainLocked, it cannot be reorganized. No waiting for confirmations. No reorg risk. Transactions finalize instantly while maintaining the security of merged mining with Bitcoin.
This combination of Bitcoin-grade security and instant finality is rare. Most systems optimize for one or the other. Syscoin delivers both.
When Peru’s National Electoral Authority (ONPE) evaluated blockchain infrastructure for their 2026 election, instant finality was essential. Electoral systems cannot tolerate reorganization risk or hour-long confirmation times. ChainLocks offered the guarantee they needed while maintaining Bitcoin-secured integrity.
Enter zkSYS InfrastructureThe progression from the UTXO base layer to NEVM to zkSYS infrastructure represents a coherent evolution up the modular stack.
zkSYS enables sovereign execution environments—Edgechains—that inherit Bitcoin security through cryptographic proofs while maintaining independence. Each Edgechain operates with its own sequencer, execution rules, and security budget. No shared sequencers. No governance capture. No systemic risk from other applications.
This is modular architecture done correctly.
The UTXO base layer handles data availability and anchors everything to Bitcoin through merged mining. NEVM provides EVM compatibility. zkSYS infrastructure enables sovereign execution for applications that cannot tolerate shared dependency risk.
Each layer serves its purpose and inherits security from the foundation below it.
Prime is building on zkSYS infrastructure because BTCFi applications need both Bitcoin-native security and sovereign control. Their testnet launches in Q4 2025, showing what becomes possible when infrastructure is designed for permanence.
Ledger Architects is training over 100 developers across eight African countries to deploy Edgechains on zkSYS infrastructure. They aren’t building dApps on shared rollups. They’re launching sovereign environments designed to serve local communities and preserve local economic value.
These aren’t experiments. They’re production systems built on infrastructure meant to last decades.
The Proof of Data Availability AdvantagePoDA is one of Syscoin’s most important technical achievements, though it receives less attention than it deserves.
Data availability is the foundation everything else depends on. Without cryptographic proof that data is available, you cannot verify state transitions. Without verified transitions, security guarantees collapse.
Most scaling solutions rely on their base layer for data availability. If that base layer fails or becomes congested, the scaling solution breaks. Syscoin’s PoDA anchors data to Bitcoin at scale using cryptographic proofs that don’t rely on centralized committees or escalating fees. Every zkSYS-powered Edgechain inherits this guarantee automatically.
When building infrastructure for government or financial systems, data availability isn’t secondary. It’s the bedrock. PoDA provides that bedrock with Bitcoin-grade security guarantees.
Why This Evolution Took a DecadeThe path from UTXO to zkSYS infrastructure took time because it had to.
Bitcoin security requires years to prove. Merged mining with major pools like F2Pool, ViaBTC, and AntPool required building relationships and demonstrating reliability. ChainLocks required solving consensus problems many considered unsolvable. PoDA required innovation in cryptographic proof systems that didn’t exist when Syscoin launched.
Most projects from 2014 no longer exist because they optimized for short-term adoption over long-term viability. They chased narratives, changed consensus models, or failed to build infrastructure that could endure beyond hype cycles.
Syscoin never chased narratives. It built while others followed trends. The result is an ecosystem that has operated continuously for over ten years. Never compromised. Still building.
What Moving Up the Stack EnablesInfrastructure evolution isn’t about abandoning what works. It’s about building on proven foundations to enable new capabilities.
Syscoin’s UTXO base layer will continue to provide data availability and Bitcoin-secured settlement. NEVM will continue to support EVM-compatible smart contracts. These aren’t being replaced.
zkSYS infrastructure extends this foundation, enabling sovereign execution environments that inherit all underlying security guarantees while adding independence and customization that shared rollups can’t provide.
Prime builds BTCFi on zkSYS. Developers seeking EVM compatibility without running their own chains use NEVM. Applications that need maximum decentralization and simple value transfer use the UTXO base directly.
Same foundation. Different execution environments. No compromises.
The Infrastructure Thesis ProvenWhen Syscoin launched in 2014, the modular blockchain thesis didn’t exist in name. The industry was still debating whether anything beyond Bitcoin was legitimate.
But Syscoin was already built on the same principles that define modular architecture today: separate concerns, optimize each layer for its role, and ensure security flows upward from the foundation.
Those principles proved correct.
Peru trusts Syscoin for its 2026 election because the infrastructure has demonstrated reliability over a decade. Prime builds on Syscoin because it delivers what BTCFi applications require. Ledger Architects trains developers on Syscoin because sovereign infrastructure ownership matters more than extraction to offshore ecosystems.
Moving up the stack wasn’t a reaction to market conditions. It was the natural evolution of infrastructure designed for permanence from the start.
zkSYS infrastructure testnet launches in Q1 2026. After that comes the Bitcoin bridge, enabling native BTC movement between layers without wrapped tokens or custodial risk.
The infrastructure keeps evolving. The foundation remains Bitcoin-secured. The principles never change.
When you build for endurance, you build in layers. Each one proven before the next. Each one optimized for its purpose, inheriting the strength of what came before. This is what moving up the stack looks like when done right.
Token portability backed by cryptographic proofs.
Move tokens back and forth between the Syscoin Native (UTXO) and Syscoin NEVM blockchains.An industry-first, zero-counterparty bridge.
Burn tokens on the Syscoin native or NEVM blockchains
Burning tokens provably removes them from the circulating supply on one chain. The proofs that result from this will be used to mint tokens on the adjacent chain.
Mint tokens on the NEVM or Syscoin native blockchain
Using the proof of burn from one chain, new tokens can be minted into the adjacent chain. This results in a 1:1 representation of the tokens on the new chain and empowers them with all the capabilities of that chain.
On November 30, 2025, Honduras held a national election. Every tally sheet uploaded to VotoLibre was cryptographically verified, blockchain-registered, and publicly auditable through Syscoin Rollux infrastructure. No fanfare. No marketing campaigns. Just mathematics securing electoral transparency.
Five months later, Peru will deploy blockchain technology for approximately 2 million voters in their April 2026 election.
This isn't blockchain theory. This is blockchain infrastructure reaching constitutional-grade applications. And 2026 is the year it scales.
Honduras: When Tally Sheets Meet Cryptographic ProofWhen Honduras held its general election on November 30, 2025, the official preliminary results system experienced challenges. By December 8, Al Jazeera reported election authorities "resuming vote tallies amid allegations of fraud" as political tensions mounted over contested results.
But something different operated alongside the traditional system. VotoLibre, a civilian election monitoring platform powered by Stamping.io, provided an independent verification layer built on Syscoin Rollux.
The Technical FlowEvery tally sheet (acta de votación) scanned by poll representatives underwent a cryptographic process that created immutable proof of its contents:
Step 1: Tally sheet scanned at polling station after vote counting
Step 2: PDF hash calculated using cryptographic algorithms
Step 3: Document uploaded to IPFS (InterPlanetary File System)
Step 4: CID (Content Identifier) generated for the IPFS file
Step 5: CID registered on Syscoin Rollux and LACCHAIN blockchains
Step 6: Verification enabled at validaqr.com with three confirmations
Anyone can verify a tally sheet right now. The verification panel shows: Hash del PDF (calculated), Integridad (verified), Blockchain (registered). The cryptographic proof exists independent of any institution's claims.
What This EnablesTraditional electoral systems require trust in institutions to accurately report results. Blockchain tally attestation shifts the model: trust mathematics, verify independently.
The difference matters:
When official systems face technical failures or political challenges, blockchain-verified tally sheets provide an independent record. If official results diverge from cryptographically-verified documents, the discrepancy is mathematically provable.
The system doesn't prevent fraud. It makes discrepancies detectable. Any attempt to alter results requires explaining why official counts don't match blockchain-verified tally sheets that poll observers scanned and registered in real-time.
Why RolluxSyscoin Rollux is an optimistic rollup (Layer 2) that provides speed while settling to Syscoin's Bitcoin-secured Layer 1. For electoral applications, this architecture delivers:
Transaction Speed: Tally sheet registration completes in seconds. Critical when processing thousands of documents during vote counting windows.
Cost Efficiency: Low transaction fees enable mass deployment without prohibitive costs. Every tally sheet gets blockchain registration, not just select documents.
Settlement Security: The Layer 2 provides throughput, the Layer 1 provides immutability. Final settlement anchors to Syscoin's merged-mined Bitcoin security.
Public Accessibility: Any citizen with a QR code can verify a tally sheet's cryptographic proof. No institutional access required. No special permissions. Just scan and verify.
Honduras demonstrated that this architecture works under pressure. When traditional systems faced challenges, the blockchain-verified records remained accessible and verifiable.
Peru: From Attestation to Digital VotingHonduras validated blockchain for post-vote tally verification. Peru will deploy it for the voting process itself.
April 2026: Digital Voting at ScalePeru's Oficina Nacional de Procesos Electorales (ONPE) will implement digital voting for approximately 2 million voters in the April 12, 2026 general election. This represents a targeted pilot, not the full electorate.
Eligible groups include:
Military and police personnel on active dutyPeruvian citizens abroad (approximately 1 million registered voters)Persons with disabilitiesHealthcare workers and emergency respondersFirefightersSelect urban residents (voluntary participation)The STVD (Solución Tecnológica del Voto Digital) platform uses electronic national ID cards (DNIe) with NFC technology and digital certificates for voter authentication. According to Stamping.io, the technology provider working with ONPE, blockchain verification will secure the voting infrastructure.
The Technical ChallengeProcessing 2 million digital votes fundamentally differs from attesting thousands of tally sheets after counting completes.
Real-time Requirements:
Tally attestation happens after votes are counted, when time pressure has passed. Digital voting requires real-time cryptographic processing as votes are cast. The infrastructure must handle peak loads when hundreds of thousands of voters participate simultaneously.
Privacy-Preserving Verification:
Every vote must be cryptographically verifiable without exposing voter identity. The blockchain must prove a vote was counted and hasn't been altered, while ensuring no one can trace which voter cast which vote. This requires sophisticated cryptographic techniques beyond simple document hashing.
Constitutional-Grade Reliability:
When 2 million citizens' democratic participation depends on infrastructure not failing, the security model must be uncompromising. This is where Syscoin's architecture becomes relevant.
The Syscoin Bitcoin Security ModelWhat distinguishes Syscoin from experimental blockchains attempting government adoption is straightforward: Bitcoin security without Bitcoin's throughput limitations.
Merged Mining: How It WorksSyscoin leverages Bitcoin's hashpower through merged mining, a process where Bitcoin miners simultaneously secure both networks without additional computational work.
The mechanics:
Bitcoin miners include Syscoin block headers in the coinbase transaction of their Bitcoin blocks. The same proof-of-work that mines a Bitcoin block simultaneously secures Syscoin. No additional energy expenditure. No separate mining operations.
Currently, 50-60% of Bitcoin's total hashrate (approximately 275-330 exahashes per second) actively merged-mines Syscoin. This includes major pools like F2Pool and ViaBTC.
What this means practically:
Attacking Syscoin requires attacking Bitcoin-level hashpower. The economic cost of acquiring enough computational power to compromise Syscoin equals the cost of attacking Bitcoin itself. This creates a security floor that experimental blockchains cannot match.
Eleven Years of Continuous OperationSyscoin launched August 16, 2014. For eleven years, the network has operated without failure. No successful attacks. No compromises. No downtime that matters.
This operational history matters when governments evaluate infrastructure. Experimental technology carries implementation risk. Proven technology demonstrates resilience under varying conditions.
When Honduras needed tally attestation infrastructure, VotoLibre chose Rollux because Syscoin's base layer has never failed. When Peru evaluates blockchain for 2 million voters, the eleven-year track record provides confidence that can't be manufactured through marketing.
Bitcoin Security Without Bitcoin LimitationsBitcoin provides unmatched security but limited throughput (approximately 7 transactions per second). Ethereum provides more functionality but different security assumptions (proof-of-stake versus proof-of-work).
Syscoin's architecture combines Bitcoin's security model with modern blockchain capabilities:
NEVM (Layer 1): Full Ethereum Virtual Machine compatibility at the base layer. Smart contracts execute with Bitcoin-level security through merged mining.
Rollux (Layer 2): Optimistic rollup providing high throughput while settling to the secured base layer. Honduras tally attestation operates here.
BitcoinDA, also known as PoDA (Proof of Data Availability): Bitcoin-native data availability ensuring information persists and remains accessible long-term.
For electoral infrastructure, this modularity enables appropriate technical choices. Tally attestation needs speed (Rollux). Final vote settlement needs maximum security (NEVM). Long-term record preservation needs persistent availability (BitcoinDA).
Why 2026 Marks Infrastructure Adoption Phase OneThree Latin American implementations within 18 months create a pattern that defines regional standards.
The ProgressionEcuador (February 2023): First national blockchain electoral deployment in Latin America. Over 650,000 tally sheets digitized and blockchain-certified in real-time during sectional elections. Established proof of concept at national scale.
Honduras (November 2025): Syscoin Rollux validates civilian tally attestation when official systems face challenges. Independent verification capability demonstrated under pressure.
Peru (April 2026): Approximately 2 million voters using digital voting infrastructure. Largest blockchain electoral deployment in Latin American history if infrastructure performs as designed.
The Pattern RecognitionWhen one nation deploys blockchain electoral technology, it's experimentation. When three nations within 18 months choose blockchain infrastructure for different electoral applications, it's pattern formation.
Honduras answered: "Can blockchain provide independent verification when traditional systems face challenges?" Yes.
Peru will answer: "Can blockchain infrastructure secure real-time digital voting for millions?" We'll find out April 12.
But the trajectory is clear. Each implementation builds confidence for the next. Each deployment creates reference architectures that subsequent adopters can study. Each success makes institutional adoption more likely.
The Regional Cascade BeginsElectoral authorities in other Latin American nations are watching Peru's April deployment. When 2 million Peruvian citizens vote digitally with blockchain verification, neighboring countries will face citizen questions:
"If Peru can secure digital voting with cryptographic proof, why do we still use vulnerable paper systems?"
This pressure isn't theoretical. It's a political reality. Once citizens observe their votes can be cryptographically verified, traditional systems requiring institutional trust become harder to defend.
The cascade effect doesn't require government mandates. It requires citizen awareness that better infrastructure exists.
Beyond Elections: The Infrastructure ExpansionElectoral verification represents just the entry point. The cryptographic principles securing votes apply to broader institutional infrastructure.
Identity and CredentialsElectoral verification uses the same technical foundations as national ID systems, professional licensing, and educational credentials. If blockchain can verify 2 million votes in real-time, it can verify 200 million identity credentials.
The shift from paper certificates to cryptographically-verifiable credentials eliminates forgery concerns. A doctor's medical license, an engineer's certification, a university degree, it can all be blockchain-anchored with instant verification capability.
Supply Chain TransparencyGovernment procurement, military logistics, and healthcare distribution all require immutable audit trails. The same infrastructure securing tally sheets can secure supply chain documentation.
When every procurement contract, every shipment manifest, every custody transfer gets blockchain registration, corruption becomes detectable. The mathematical proof either exists or doesn't. There's no institutional discretion to obscure inconvenient documentation.
Judicial RecordsCourt decisions, case files, and legal precedents anchored to blockchain become undisputable historical records. The Honduras tally attestation model, document hash, IPFS storage, blockchain registration, applies directly to legal documentation.
This matters for rule of law. When judicial records are immutably preserved with cryptographic proof, retroactive alteration becomes impossible. The court record either matches the blockchain hash or someone altered it. Mathematics doesn't allow ambiguity.
Property and Financial RecordsLand titles, vehicle registrations, intellectual property: it all requires long-term immutable records with public verification capability. The cryptographic foundations are identical to electoral verification.
For developing economies, this infrastructure enables economic transformation. Clear property rights with cryptographically-verifiable ownership records reduce transaction friction and enable capital formation.
The Builder OpportunityHonduras proved Rollux handles constitutional-grade tally attestation. Peru will prove blockchain can secure 2 million digital votes. The infrastructure template now exists.
First Mover AdvantageRegional standards emerge from early implementations. The first electoral system integrator in Colombia who adapts Peru's model will define how Colombia deploys. The first identity system builder in Chile who implements blockchain credentials will establish Chile's approach.
Early movers don't just capture market share. They define reference architectures that subsequent implementations follow.
The Market ScaleElectoral infrastructure alone represents billions in potential implementations across Latin America and beyond. But elections are just the opening application.
Identity systems, supply chains, judicial records, property registries, financial documentation, every institution requiring immutable records with public verification represents opportunity.
The total addressable market isn't millions. It's billions of citizens and trillions in economic activity requiring infrastructure that institutions can trust and citizens can verify.
The Technical AdvantageBuilders who understand Syscoin's architecture early gain advantage. The modular stack enables different applications to use appropriate layers. A builder who masters NEVM for high-security applications, Rollux for high-throughput needs, and BitcoinDA for long-term data persistence can architect solutions competitors cannot match.
The infrastructure exists. The use cases are validated. The market is opening. 2026 represents the window where early builders establish dominant positions before the market matures.
Conclusion: Infrastructure That EnduresNovember 30, 2025: Honduras demonstrated Syscoin Rollux handles tally attestation when traditional systems face challenges. The cryptographic proof exists at validaqr.com right now, verifiable by anyone.
April 12, 2026: Peru deploys blockchain infrastructure for approximately 2 million voters. The technology validated for tally attestation scales to real-time digital voting.
This represents more than electoral innovation. This represents blockchain infrastructure reaching constitutional-grade applications. Governments choose mathematical certainty over institutional trust. Public infrastructure operating at Bitcoin security levels through eleven years of proven operation.
Ecuador pioneered it in 2023. Honduras proved it in 2025. Peru scales it in 2026. The pattern is forming. The infrastructure is operational. The cascade is beginning.
2026 marks infrastructure adoption phase one. Not because of marketing promises. Because governments evaluated options and chose what works.
The infrastructure revolution isn't coming. It's documented at votolibre.info. It deploys in Peru April 12, 2026. And it's built on Syscoin.
Syscoin: Bitcoin-secured infrastructure for constitutional-grade applications. Eleven years proven. Two nations deployed. 2026: The year infrastructure scales.
PANews reported on June 8th that Syscoin issued an update on its X platform regarding a recent cross-chain bridge security incident involving 5 billion SYS tokens. The bridging service is currently suspended, and the team is investigating and fixing the verification issue. Attackers exploited a verification vulnerability in the cross-chain bridge process to create unauthorized SYS outputs on the UTXO side. Affected funds have been transferred and split, and the team is tracking them and coordinating with exchanges and ecosystem partners to prevent the contaminated UTXOs from being deposited, traded, or further distributed. The team has determined a remediation plan and advises users not to interact with the cross-chain bridge until it is restored.
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BCA Research has become the latest strategy firm to raise its US stock market target, reflecting Wall Street’s growing optimism about earnings support for US equities in the second half of the year. The institution lifted its year-end S&P 500 target from 7,700 points to 8,100 points. BCA’s core view is that first-quarter corporate earnings exceeded expectations in both strength and breadth, and the US economy has re-entered an expansion phase. Similar to JPMorgan Chase, BCA believes this stock rally is not only driven by valuation expansion—earnings themselves are delivering the index’s gains. AI remains the core variable in this assessment. Large tech firms including Alphabet, Microsoft, Amazon, Meta and Oracle continue to increase capital spending on data centers and AI infrastructure, driving growth in orders for chips, servers, construction, power and related industrial chains. This provides a clearer fundamental basis for upward revisions to 2026 and 2027 earnings. The institution points out that risks exist: the earnings expansion brought by AI investments has already been quickly priced into the market. If subsequent returns on capital spending are questioned, or interest rates remain elevated, further upside for the index will require more earnings confirmation rather than relying solely on investor risk appetite.
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Tom Lee: Markets have nearly priced in two interest rate hikes from the Federal Reserve this year, and the rise in US Treasury yields is weighing on market sentiment.
Tom Lee said the market is still digesting Kevin Warsh’s remarks from his first press conference last week and repricing the macro environment. Over the past week, oil prices have pulled back, with war premiums contracting. Current oil prices are not far from the roughly $65 level seen before the conflict, indicating the market views related war risks as declining. On the other hand, 10-year U.S. Treasury yields continue to rise, now around 4.5%, higher than the pre-conflict level of roughly 4.2%. The main headwind the market has faced recently has shifted from oil prices to yields. Tom Lee noted that the market is not only focused on 10-year U.S. Treasury yields but also starting to price in potential additional interest rate hikes from the Federal Reserve. According to federal funds futures, the market is currently pricing in nearly two rate hikes this year. Bank of America further projected today that the Fed will raise rates three times this year, in September, October, and December respectively. Jeffrey Gundlach often emphasizes the importance of monitoring 2-year U.S. Treasury yields, as they typically lead the Fed and signal the central bank’s policy direction. Between 2023 and 2025, the relationship between 2-year U.S. Treasury yields and the federal funds rate indicated that the Fed’s policy was overly tight, requiring interest rate cuts. However, this relationship has recently reversed, meaning the Fed would need two rate hikes to catch up with 2-year U.S. Treasury yields. He believes that, at least for now, yields have become a headwind for the market.
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Japan and South Korea's stock markets closed higher across the board, with Japan's stock market hitting a new closing high.
According to Bitget market data, the Nikkei 225 index closed up 3,191.37 points, or 4.61%, at 72,366.34 points on Thursday, June 25, hitting a new all-time closing high. South Korea’s KOSPI index rose 459.76 points (5.43%) to end at 8,930.78 points; SK Hynix surged 13% while Samsung Electronics gained more than 5%.
Syscoin has paused its bridge after a security incident created about 5 billion unauthorized SYS outputs through its UTXO bridge path.
Summary
Syscoin paused its bridge after a validation issue created about 5B unauthorized SYS outputs. The team traced major tainted balances to two UTXO addresses holding about 4B and 1B SYS. Syscoin said exchanges and partners were asked to freeze, blacklist, or monitor linked deposits. The project said an attacker exploited a validation issue in the bridge flow. The flaw caused the system to incorrectly accept or read a transaction proof and create SYS output that should not have been produced.
Meanwhile, SYS traded near $0.00165 after the update, with a market cap of about $9.7 million, according to CoinGecko. The token was down sharply from its all-time high of $1.30, showing weak market confidence around the project. The token has fallen nearly 10% in the last 24 hours.
Syscoin bridge paused during investigation Syscoin said the bridge remains paused while the team investigates the incident, completes a fix, and decides how to address the unauthorized SYS output.
“The Syscoin bridge is currently paused while the team investigates,” the project said in its preliminary postmortem.
The team said users should not interact with the bridge while it remains offline. It also said the incident is being treated as a top priority.
Preliminary Postmortem: Syscoin Bridge Incident
We want to provide the community with a preliminary update regarding the recent Syscoin bridge incident involving approximately 5B SYS.
The Syscoin bridge is currently paused while the team investigates, finalizes the fix, and…
— Syscoin (@syscoin) June 7, 2026 Syscoin said it has already identified the affected validation path. The team said it has a fix in place, but review and implementation are still ongoing.
5B SYS output traced on UTXO chain According to Syscoin, the attacker created an unauthorized output of about 5B SYS through the UTXO bridge path.
The funds were first sent to one address before being spent and split into other outputs. Syscoin said the largest tainted balances appear linked to two addresses holding about 4B SYS and 1B SYS.
The team published the initial UTXO transaction, the later spend, and the split transaction. It said it is tracing the funds across the UTXO trail.
Syscoin also said it is working with exchanges and ecosystem partners. The goal is to stop tainted SYS from being deposited, traded, or spread further.
Exchanges asked to monitor tainted SYS Syscoin said it contacted exchanges and relevant partners after the incident. The project asked them to blacklist, freeze, or closely monitor SYS deposits tied to the tainted outputs.
The team also asked partners to watch descendant spends from the affected UTXO trail. This step aims to reduce the chance that the unauthorized SYS reaches open markets.
The incident comes as cross-chain bridge security remains under close watch across crypto. Bridges often handle funds across different chains, making validation errors costly when attackers find a weak path.
Related reports show that bridge attacks have remained active in 2026, with several cross-chain systems hit in recent months.
Related crypto.news coverage previously described Syscoin as a dual-layer blockchain that combines Bitcoin-style security with Ethereum-like smart contract support.
That background matters because the latest incident involved Syscoin’s bridge system, which connects activity across its native UTXO side and related blockchain infrastructure.
Separate market reports have also tracked rising bridge risks across the wider crypto sector. Recent cases include attacks on cross-chain systems where flaws or key failures allowed attackers to move large amounts of assets.
For Syscoin, the next update will likely focus on the final remediation plan. The team said it will share more information after it completes the fix and decides how to neutralize the unauthorized output.
Syscoin’s bridge suffered an exploit after a transaction-proof validation flaw allowed manipulated data to pass verification checks.
According to the project’s preliminary postmortem, the bridge incorrectly accepted or interpreted a transaction proof. The error created roughly 5 billion unauthorized SYS through the UTXO bridge path.
The attacker later split the funds into two tainted addresses holding approximately 4 billion SYS and 1 billion SYS.
Source: Syscoin Explorer The team stated that no private keys were compromised during the incident.
Instead, the exploit stemmed from a validation failure inside the bridge’s proof-verification process. Syscoin paused the bridge, identified the affected validation path, and deployed a fix while tracing the funds.
A validation bug in Syscoin’s bridge infrastructure has resulted in the minting of roughly 5 billion unauthorized SYS tokens, forcing the project to pause the bridge and race to contain the fallout. The scale of the exploit—silently generating supply equal to a significant portion of the existing token total—turns a common bridge vulnerability into a messy supply integrity crisis.
According to the preliminary postmortem shared by WuBlockchain, the attacker exploited a validation issue in the Bridge flow, causing the system to incorrectly accept a transaction proof. That error opened the UTXO Bridge path, allowing about 5 billion SYS to be created where no legitimate backing existed. Once the unauthorized coins reached the UTXO chain, they were split into two main tainted addresses holding roughly 4 billion and 1 billion SYS respectively. Syscoin says it has identified the affected validation path, prepared a fix, and is now coordinating with exchanges and ecosystem partners to blacklist, freeze, or monitor any deposits linked to those UTXO trails. Users have been told not to interact with the bridge while it remains paused.
Validation Flaw Unlocks a Supply Flood In a well-designed bridge, transaction proofs must pass rigorous checks before tokens are released on the destination chain. Syscoin’s release suggests a specific failure in that proof validation allowed a maliciously crafted message to be accepted as legitimate. The result was not a simple drain of existing liquidity but an uncontrolled expansion of supply—something that directly attacks the economic foundation of the asset. The two tainted addresses show the attacker quickly split the haul, a common technique to complicate tracking and enable piecemeal offloading through smaller venues.
This kind of exploit targets the weakest link in cross-chain architecture. It is not the first time a bridge misinterprets a proof, and it won’t be the last. While Syscoin has not disclosed the technical details of the fix, the incident underscores the fragility of custom validation logic in UTXO-based systems, which can behave differently from EVM chains in their handling of proof structures.
Exchange Coordination as a Containment Tool Syscoin’s immediate move was to work with trading platforms and ecosystem partners to freeze or monitor SYS inflows tied to the tainted UTXO trail. In theory, if every major exchange blocks the attacker’s addresses, the stolen value becomes largely illiquid. In practice, the attacker will test every weak point: smaller exchanges with slower compliance, decentralized swap pools, bridges to other chains, or instant swap services. The clock is ticking. The more time passes, the harder it becomes to prevent the dilution from bleeding into the broader market.
This response mirrors the playbook seen in other bridge incidents, but it’s only as effective as its worst-connected exchange. While large platforms may act quickly, smaller or less regulated venues often lag. And if the attacker already moved a portion through mixers or into privacy chains, the freeze strategy might only capture a fraction of the total. Syscoin’s team hasn’t clarified how many exchange partners are involved or what tools they’re using to trace UTXO heirs, leaving the market to speculate about the real scope of the response.
The Wider Bridge Problem Keeps Expanding Bridges have become the high-value target of choice in blockchain security, with total losses stretching past $2 billion across the industry. As on-chain real-world assets continue to climb—a recent tokenization roundup noted that RWA value crossed $20 billion—the bridges carrying those assets hold ever-larger amounts of collateral from multiple chains. Even a mid-tier project like Syscoin can become the weak link if its bridge connects to a broader DeFi ecosystem where liquidity flows freely.
Meanwhile, developer activity across blockchains continues to emphasize infrastructure, but security audits and formal verification still lag behind the pace of bridge deployment. The Syscoin exploit is a reminder that the validation logic sitting between two ledgers is not just a technical detail—it’s the entire safety deposit box.
What’s Unknown and What Comes Next Syscoin hasn’t specified how long the bridge will remain paused or whether a follow-up audit will be published before it reopens. That lack of clarity matters. If users perceive the fix as rushed or incomplete, bridge liquidity may not return quickly, hampering the chain’s utility. There’s also the question of the rebase or supply adjustment: with 5 billion unaudited tokens floating around, Syscoin’s tokenomics are temporarily distorted. If those coins aren’t fully neutralized, they could create a persistent overhang on any recovery attempt.
For exchanges and DeFi protocols that list SYS, the next few days will be about deciding when, or if, to lift freezes and resume normal operations. The attacker’s next steps are equally uncertain. A large swap attempt at a liquid venue would be a high-risk move, while a slow dispersal through multiple channels may quietly erode confidence. Either way, the Syscoin bridge incident adds another data point to a familiar story: bridges remain the most dangerous choke point in a multi-chain world.
AUTHOR
Max delves deep into the cryptocurrency realm, with a passion for altcoins and NFTs. Convinced of crypto's transformative potential, he envisions a decentralized financial future. Max's background in the financial sector grants him unique insights into global monetary systems. In his leisure, Max embraces the thrill of adventures and is an avid sports enthusiast, finding balance and rejuvenation away from work.
PANews reported on June 10th that Syscoin issued an update regarding the cross-chain bridge incident, stating that the previously attacked SYS tokens have now been returned to the restored address. They hope to inform everyone as soon as possible to avoid further concerns about the potential transfer of funds. The team is currently verifying all information and will provide updates on the next steps as soon as possible.
Previously, on June 8, it was reported that the Syscoin cross-chain bridge suffered an attack involving approximately 5 billion SYS, and the bridging service has been suspended .
Author: PA一线
This content is for market information only and is not investment advice.
SecondFi, a Cardano (ADA) project, suffered a significant security breach tied to a flaw in its own wallet generation software. Damage estimates range from 16 million ADA to more than 129 million ADA and additional tokens across compromised wallets.
ADA trades at $0.150237 as of June 24, down 3.00% over the past 24 hours. At that price, SlowMist’s upper estimate of 129 million ADA translates to roughly $19.4 million. SlowMist founder Yu Xian, known by the handle Cos, placed total losses above $20 million. Non-ADA tokens held in the compromised wallets pushed that figure beyond SecondFi’s own estimate.
How the SecondFi Exploit UnfoldedSecondFi’s team traced the breach to a vulnerability in its proprietary wallet generation software. That flaw gave attackers access to funds across multiple user wallets. Critically, Cardano’s base protocol was not the entry point. The project completed an on-chain analysis to map the scope of affected addresses.
SecondFi is now working with an independent blockchain security firm on a technical review.
To provide more clarity, we have identified the nature of the incident, it is at the address level. The security risk affects wallet users when a transaction is signed.
Therefore recovery to another platform or wallet does not mitigate the risk.
🚨 DO NOT restore your… https://t.co/YkjjhL7gEq
— SecondFi (@secondfiapp) June 24, 2026 The project’s internal estimate puts losses at around 16 million ADA. However, SlowMist’s analysis of hacker fund flows and wallet activity points to a larger impact. Yu Xian said more than 129 million ADA and other tokens may have moved through addresses linked to the attacker.
That discrepancy suggests the final figure will depend heavily on the outcome of the independent review.
The incident fits a pattern of infrastructure-layer attacks that gained momentum in 2026. Earlier this month, Humanity Protocol’s private key breach wiped 88% off its token’s value in 24 hours.
An attacker gained control through compromised key material. Similarly, the Syscoin bridge exploit showed how software-layer flaws often evade standard security audits. In both cases, the vulnerability came from tooling built above the base chain, not from the underlying protocol.
ADA Under Pressure After the SecondFi ExploitADA already trades near five-year lows. Charles Hoskinson recently proposed a Cardano rescue plan, though ADA holders remained broadly skeptical. The breach adds another headwind to an ecosystem already under strain.
Hoskinson responded to the SecondFi incident, noting that while the losses may appear small relative to other crypto exploits, they offer no comfort to those affected. He stressed that some users may have lost their entire ADA holdings, describing it as an unfortunate reality of the industry.
The exploit surfaced just one day after Cardano launched the Leios Musashi Dojo testnet. Early Cardano network activity data showed few signs of a meaningful on-chain uptick. Therefore, the breach may complicate efforts to attract new developers and liquidity to the network.
SecondFi has not disclosed a reimbursement timeline or recovery plan. The ongoing technical review will determine whether any funds remain recoverable. It will also establish what changes the project must make to its wallet infrastructure before safely resuming operations.
Jensen Huang took the stage at Computex 2026 in Taipei and did what he does best: unveiled a massive new AI model while wearing a leather jacket. The Nemotron 3 Ultra, packing roughly 500 to 550 billion parameters, is now the crown jewel of Nvidia’s open AI model family.
The keynote, delivered on June 1, 2026, at the Taipei Music Center, positioned Nvidia not just as a chipmaker but as a full-stack AI platform company.
What Nemotron 3 Ultra actually does The Ultra’s 500-550 billion parameter framework is designed specifically for advanced reasoning and planning, including agentic workflows — AI systems that plan, execute, and iterate on multi-step tasks with minimal human oversight.
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The Ultra sits at the top of a three-tier Nemotron 3 family. The Nano variant is already available for lighter workloads. The Super model, launched in March 2026 with 120 billion parameters, targets mid-range enterprise applications.
Nvidia’s team built the Nemotron 3 family using latent mixture-of-experts (MoE) techniques combined with NVFP4 training. The models activate only the relevant portions of their neural networks for any given task, rather than firing up all 500 billion parameters every time. The result is up to 5x higher throughput compared to previous versions.
Nvidia’s open model strategy is working Over 50 million downloads of Nemotron 3 family models were recorded in the year leading up to April 2026.
The Computex keynote contained no mentions of blockchain or crypto-related initiatives, with coverage focused entirely on AI infrastructure and enterprise computing.
What this means for investors The 5x throughput improvement means the cost-per-inference for enterprise AI drops significantly if those benchmarks hold in real-world deployments. The absence of cryptocurrency or blockchain mentions during the announcements suggests a focused strategy on hardware and AI, with implications for investors more keenly focused on traditional tech stocks than crypto plays.
Investors should watch whether the 50-million-download pace accelerates or plateaus in the quarters following the Ultra launch, as adoption velocity will indicate whether Nvidia’s open model strategy is building lasting market share.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
PANews, June 1st - According to Cailian Press, NVIDIA (NVDA.O) CEO Jensen Huang released the new AI model Nemotron 3 Ultra. In addition, NVIDIA officially entered the personal computer chip market with a new processor, aiming to break Intel's monopoly in this field and drive PC devices to meet the development needs of the artificial intelligence era. NVIDIA also launched an intelligent agent toolkit including NemoGuard, Nemotron, OpenShell, and CUDA-X.
Nvidia will collaborate with MediaTek to develop the RTX Spark PC chip. Jensen Huang stated that Nvidia will release a new generation of PC chips for each generation of AI processors, and computers equipped with Nvidia's RTX Spark chips will be available this fall.
In addition, NVIDIA launched the Alpamayo 2 super open inference model, designed specifically for robot taxis; the company also released the NVIDIA ISAAC GR00T humanoid robot reference platform for academic research.
In brief NVIDIA unveiled Nemotron 3 Ultra at Computex on June 1, a 550-billion-parameter open-weight model. The model delivers over 300 tokens per second on a pre-release DeepInfra endpoint, running three to six times faster than Chinese rivals But Kimi K2.6 from Moonshot AI still leads the open-weight intelligence ranking. Jensen Huang walked onto the Computex stage in Taipei on Sunday, leather jacket on, and unveiled Nemotron 3 Ultra—Nvidia's largest open AI model ever and, at least for now, the smartest open-weight model built in America. It's good. It's just not good enough to beat China.
The model packs roughly 550 billion total parameters but runs on only 55 billion active ones at any given moment, using a design called mixture-of-experts. Parameters are what determine an AI model’s breadth of knowledge, with a greater number generally meaning more powerful.
To understand how a mixture-of-experts model works, think of it like a hospital with hundreds of specialists: When a patient comes in, only the relevant doctors actually show up—not everyone on staff. That approach keeps the cost of running the model far lower than its headline parameter count would suggest, which is exactly why Nvidia can claim 5x faster inference and costs 30% lower than comparable open-weight alternatives.
Independent evaluator Artificial Analysis, which partnered with Nvidia on the pre-release assessment, put Nemotron 3 Ultra at 48 on its Intelligence Index—a composite benchmark that aggregates 10 evaluations spanning reasoning, coding, general knowledge, and agentic performance, scored on a numbered scale where higher means smarter.
That makes it the top U.S. open-weight model by a comfortable margin. The next closest American options are Gemma 4 31B from Google at 39, Nemotron 3 Super at 36, and OpenAI's gpt-oss-120b at 33.
NVIDIA just announced the release of Nemotron 3 Ultra in Jensen Huang's Computex keynote: at 550B parameters (55B active), this is the largest Nemotron 3 model to date, and it is the most intelligent US open weights model
We partnered with @nvidia to evaluate this model for… pic.twitter.com/WPXZGLBOn8
— Artificial Analysis (@ArtificialAnlys) June 1, 2026
The gap over its own predecessor is striking. Nemotron 3 Super, released in March 2026 at 120 billion parameters, was already considered a solid open model for autonomous agents. Ultra jumps 12 index points above it, which in this benchmarking landscape is a big leap.
What the Nemotron family isNvidia has been in the model business longer than most people realize. The first Nemotron-branded model dropped in November 2023, with the third generation announced in December 2025.
The family comes in three sizes: Nano for lightweight tasks, Super for mid-range enterprise applications, and Ultra for complex reasoning workloads. All three share the same hybrid architecture combining Mamba-2 layers, standard Transformer attention, and mixture-of-experts routing.
Mamba-2 is an alternative to standard attention that processes long sequences at a fraction of the cost—relevant when you want a model capable of holding a million tokens in memory at once. Nemotron 3 Ultra supports a 1-million-token context window, meaning an agent can, in theory, have an entire large codebase or hundreds of research documents in view simultaneously.
The Ultra model also includes a technique called multi-token prediction (MTP), which lets the model predict several future tokens at once rather than one at a time, speeding up generation. All three Nemotron 3 models were post-trained using reinforcement learning across multiple interactive environments, teaching them to plan and execute multi-step tasks rather than just answer questions.
The Ultra's weights are public and its training recipes are being released. Do you need a supercomputer to run it? Essentially, yes—a 550-billion-parameter model lives in datacenter territory. But you can access it through Nvidia's API or cloud providers without owning the hardware yourself, the same way anyone already uses GPT or Claude through a browser.
Fast model, slower brainThe speed story is where Nemotron 3 Ultra genuinely stands out. On a pre-release DeepInfra endpoint, the model served over 300 output tokens per second. Chinese models in its intelligence class—DeepSeek V4 Pro and Kimi K2.6—are served at 50–100 tokens per second through their commercial APIs today. That speed gap matters for real-world deployments, particularly for autonomous agents executing long multi-step tasks where waiting for each step compounds quickly.
But raw speed doesn't settle the intelligence contest. The chart Artificial Analysis published tells the actual story plainly. On the vertical axis—intelligence—Nemotron 3 Ultra sits at 48 which is nice, but China's Kimi K2.6 from Moonshot AI sits at 54. That six-point gap on the index represents a meaningful difference: Kimi K2.6 was released in April 2026 and currently ranks fourth among all AI models globally, closed or open, sitting only three points behind Anthropic, Google, and OpenAI's proprietary flagships—all tied at 57.
The U.S. open-weight situation isn't new. Chinese labs have been flooding the open ecosystem with strong models while American companies—OpenAI, Anthropic, Google—keep their best systems behind APIs. As Decrypt reported in March, Chinese open-source models jumped from roughly 1.2% of global open-model usage in late 2024 to around 30% by end of 2025. Nvidia is the biggest American name actively trying to reverse that trend, with a publicly disclosed five-year plan to spend $26 billion on open-weight AI development.
Nemotron 3 Ultra is the most visible result of that bet so far. Nvidia also announced it is already working on Nemotron 4—the next generation—developed through the Nemotron Coalition, a group of eight AI labs including Mistral AI and Perplexity that Nvidia assembled in March 2026 to co-develop open frontier models on DGX Cloud infrastructure. Nemotron 3 Ultra ships June 4.
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Nvidia takes a new step in open artificial intelligence with Nemotron 3 Ultra, its most powerful model to date. Presented at Computex 2026 in Taipei, this system impresses with its speed and reasoning capabilities. Yet, despite this major advance, Chinese labs continue to dominate the global open source AI rankings. Can Nvidia really catch up?
In brief Nvidia unveiled Nemotron 3 Ultra, its most advanced open source AI model to date. The model shows performance superior to all open-weight American competitors. Nemotron 3 Ultra generates more than 300 tokens per second, several times faster than its Chinese rivals. Nvidia signs a major advance in open source AI On June 1st, in Taipei, Nvidia CEO Jensen Huang presented Nemotron 3 Ultra at the Computex show. With its 550 billion parameters, it is the largest open-weight model ever developed by the American company. This announcement also marks an important milestone for the open AI ecosystem in the United States.
In reality, only 55 billion parameters are activated simultaneously thanks to an architecture called “mixture of experts” (Mixture of Experts). This approach allows the model to mobilize only the necessary resources for each task. Result: faster execution and significantly reduced operating costs.
According to Nvidia, Nemotron 3 Ultra offers inference speeds up to five times higher than some competing models while reducing costs by about 30%. For companies developing autonomous agents or complex applications, this advantage could translate into significant productivity gains.
Independent assessments conducted by Artificial Analysis reinforce this impression. The model scores 48 on its intelligence index, which notably measures reasoning abilities, programming, general knowledge, and AI agent performance. This result places Nemotron 3 Ultra well ahead of other American open models, including those developed by Google or OpenAI.
This progress is all the more remarkable because its predecessor, Nemotron 3 Super, launched a few months earlier, scored 12 points lower. In a sector where every point gained becomes increasingly difficult to obtain, this improvement represents a real technological leap.
China maintains its lead in the open source race Despite this progress, Nvidia has not yet managed to dethrone the Chinese leaders. The main obstacle has a name: Kimi K2.6, developed by Moonshot AI.
With a score of 54 on the Artificial Analysis index, Kimi K2.6 maintains a significant lead over Nemotron 3 Ultra. Even more impressively, the Chinese model is among the most powerful AI systems in the world, across all categories, whether open or proprietary.
This domination is not by chance. For several years, Chinese labs have multiplied the publication of high-level open source models. Conversely, American giants such as OpenAI, Anthropic, or Google generally reserve their most advanced technologies for proprietary services accessible via API.
This strategy has profoundly changed the market balance. At the end of 2024, Chinese models represented a marginal share of global open source AI usage. A year later, their share was already approaching 30%, illustrating the speed of their rise.
Aware of this strategic challenge, Nvidia invests massively in open AI. The group has already announced a $26 billion development plan over five years and is now working on Nemotron 4. This new generation will be developed with several major partners, including Mistral AI and Perplexity, within the Nemotron Coalition.
Nemotron 3 Ultra confirms that Nvidia is now the most ambitious American player in open source AI. Its lead in speed and efficiency could attract many companies.
However, the global open AI battle is no longer only between American giants. Today, China sets the pace of innovation and forces Western players to accelerate their efforts. For Nvidia, Nemotron 3 Ultra represents a major advance, but probably only a step in a technological competition that is just beginning.
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Fenelon L.
Passionné par le Bitcoin, j'aime explorer les méandres de la blockchain et des cryptos et je partage mes découvertes avec la communauté. Mon rêve est de vivre dans un monde où la vie privée et la liberté financière sont garanties pour tous, et je crois fermement que Bitcoin est l'outil qui peut rendre cela possible.
DISCLAIMER
The views, thoughts, and opinions expressed in this article belong solely to the author, and should not be taken as investment advice. Do your own research before taking any investment decisions.
Stifel: U.S. economy in "overheated expansion" as AI investment cycle outweighs consumer pressure
U.S. large diversified financial services holding company Stifel has raised its year-end S&P 500 target and rolled out a stock allocation framework for a "high-growth, high-inflation" environment. The firm lifted its year-end S&P 500 target to 7,800 points, noting the U.S. economy is entering a "running hot" state—where economic growth is strengthening alongside mounting inflationary pressure. Stifel’s models show U.S. growth momentum is picking up while inflation momentum is clearly overheating, a trend that will reshape the market’s leading sector structure in the second half of the year. Instead of traditional consumer sectors, Stifel’s top picks are investment-led cyclical industries, including banks, transportation, materials, energy, semiconductors, software and equipment. The firm adds that fixed-asset investment in AI remains on the rise: large tech firms including Amazon, Microsoft, Meta and Google are projected to combine for roughly $725 billion in total capital expenditures in 2026, some $100 billion higher than prior estimates. This means the AI investment chain is likely to continue outperforming the consumption chain squeezed by inflation. Stifel advises investors to reduce exposure to discretionary consumer, consumer staples, communication services and some financial services sectors, as these areas see weaker earnings revisions. Conversely, the firm favors cyclical value stocks and hedges with defensive value sectors such as insurance, autos, energy and banks.
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Analyst: Micron's earnings boost overall market sentiment for the tech sector
Chris Strazzeri, Financial Trading Manager of Moomoo’s Australia and New Zealand branch, stated: “The targeted sell-off indicates that following a sustained, strong rally in AI-related and speculative growth stocks, investors are enforcing strict valuation discipline. This serves as a warning to the market that actual earnings levels must now rise to support the currently overvalued price-to-earnings ratio. Micron Technology’s post-market earnings results largely confirm this, and its robust performance has lifted overall market sentiment in the tech sector.”
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2x Leveraged Long DRAM ETF (RAM) Records $383 Million in Trading Volume on Its First Day of Listing
According to Bitget market data, the Roundhill T-REX 2X Long DRAM Daily Target ETF (Nasdaq ticker: RAM) officially launched trading yesterday. On its first trading day, the fund recorded a total turnover of $383 million, and rose 29.47% in after-hours U.S. stock trading to hit $30.8. Note: RAM’s underlying exposure covers companies engaged in memory-related technologies, including DRAM, NAND and storage solutions, targeting active traders seeking leveraged exposure to the memory chip theme and artificial intelligence infrastructure development.
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BCA Research raises its S&P 500 target to 8,100 points, with AI remaining a core variable.
BCA Research has become the latest strategy firm to raise its US stock market target, reflecting Wall Street’s growing optimism about earnings support for US equities in the second half of the year. The institution lifted its year-end S&P 500 target from 7,700 points to 8,100 points. BCA’s core view is that first-quarter corporate earnings exceeded expectations in both strength and breadth, and the US economy has re-entered an expansion phase. Similar to JPMorgan Chase, BCA believes this stock rally is not only driven by valuation expansion—earnings themselves are delivering the index’s gains. AI remains the core variable in this assessment. Large tech firms including Alphabet, Microsoft, Amazon, Meta and Oracle continue to increase capital spending on data centers and AI infrastructure, driving growth in orders for chips, servers, construction, power and related industrial chains. This provides a clearer fundamental basis for upward revisions to 2026 and 2027 earnings. The institution points out that risks exist: the earnings expansion brought by AI investments has already been quickly priced into the market. If subsequent returns on capital spending are questioned, or interest rates remain elevated, further upside for the index will require more earnings confirmation rather than relying solely on investor risk appetite.
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Tom Lee: Markets have nearly priced in two interest rate hikes from the Federal Reserve this year, and the rise in US Treasury yields is weighing on market sentiment.
Tom Lee said the market is still digesting Kevin Warsh’s remarks from his first press conference last week and repricing the macro environment. Over the past week, oil prices have pulled back, with war premiums contracting. Current oil prices are not far from the roughly $65 level seen before the conflict, indicating the market views related war risks as declining. On the other hand, 10-year U.S. Treasury yields continue to rise, now around 4.5%, higher than the pre-conflict level of roughly 4.2%. The main headwind the market has faced recently has shifted from oil prices to yields. Tom Lee noted that the market is not only focused on 10-year U.S. Treasury yields but also starting to price in potential additional interest rate hikes from the Federal Reserve. According to federal funds futures, the market is currently pricing in nearly two rate hikes this year. Bank of America further projected today that the Fed will raise rates three times this year, in September, October, and December respectively. Jeffrey Gundlach often emphasizes the importance of monitoring 2-year U.S. Treasury yields, as they typically lead the Fed and signal the central bank’s policy direction. Between 2023 and 2025, the relationship between 2-year U.S. Treasury yields and the federal funds rate indicated that the Fed’s policy was overly tight, requiring interest rate cuts. However, this relationship has recently reversed, meaning the Fed would need two rate hikes to catch up with 2-year U.S. Treasury yields. He believes that, at least for now, yields have become a headwind for the market.
2 minutes ago
Japan and South Korea's stock markets closed higher across the board, with Japan's stock market hitting a new closing high.
According to Bitget market data, the Nikkei 225 index closed up 3,191.37 points, or 4.61%, at 72,366.34 points on Thursday, June 25, hitting a new all-time closing high. South Korea’s KOSPI index rose 459.76 points (5.43%) to end at 8,930.78 points; SK Hynix surged 13% while Samsung Electronics gained more than 5%.
Stifel: U.S. economy in "overheated expansion" as AI investment cycle outweighs consumer pressure
U.S. large diversified financial services holding company Stifel has raised its year-end S&P 500 target and rolled out a stock allocation framework for a "high-growth, high-inflation" environment. The firm lifted its year-end S&P 500 target to 7,800 points, noting the U.S. economy is entering a "running hot" state—where economic growth is strengthening alongside mounting inflationary pressure. Stifel’s models show U.S. growth momentum is picking up while inflation momentum is clearly overheating, a trend that will reshape the market’s leading sector structure in the second half of the year. Instead of traditional consumer sectors, Stifel’s top picks are investment-led cyclical industries, including banks, transportation, materials, energy, semiconductors, software and equipment. The firm adds that fixed-asset investment in AI remains on the rise: large tech firms including Amazon, Microsoft, Meta and Google are projected to combine for roughly $725 billion in total capital expenditures in 2026, some $100 billion higher than prior estimates. This means the AI investment chain is likely to continue outperforming the consumption chain squeezed by inflation. Stifel advises investors to reduce exposure to discretionary consumer, consumer staples, communication services and some financial services sectors, as these areas see weaker earnings revisions. Conversely, the firm favors cyclical value stocks and hedges with defensive value sectors such as insurance, autos, energy and banks.
2 minutes ago
Analyst: Micron's earnings boost overall market sentiment for the tech sector
Chris Strazzeri, Financial Trading Manager of Moomoo’s Australia and New Zealand branch, stated: “The targeted sell-off indicates that following a sustained, strong rally in AI-related and speculative growth stocks, investors are enforcing strict valuation discipline. This serves as a warning to the market that actual earnings levels must now rise to support the currently overvalued price-to-earnings ratio. Micron Technology’s post-market earnings results largely confirm this, and its robust performance has lifted overall market sentiment in the tech sector.”
2 minutes ago
2x Leveraged Long DRAM ETF (RAM) Records $383 Million in Trading Volume on Its First Day of Listing
According to Bitget market data, the Roundhill T-REX 2X Long DRAM Daily Target ETF (Nasdaq ticker: RAM) officially launched trading yesterday. On its first trading day, the fund recorded a total turnover of $383 million, and rose 29.47% in after-hours U.S. stock trading to hit $30.8. Note: RAM’s underlying exposure covers companies engaged in memory-related technologies, including DRAM, NAND and storage solutions, targeting active traders seeking leveraged exposure to the memory chip theme and artificial intelligence infrastructure development.
2 minutes ago
BCA Research raises its S&P 500 target to 8,100 points, with AI remaining a core variable.
BCA Research has become the latest strategy firm to raise its US stock market target, reflecting Wall Street’s growing optimism about earnings support for US equities in the second half of the year. The institution lifted its year-end S&P 500 target from 7,700 points to 8,100 points. BCA’s core view is that first-quarter corporate earnings exceeded expectations in both strength and breadth, and the US economy has re-entered an expansion phase. Similar to JPMorgan Chase, BCA believes this stock rally is not only driven by valuation expansion—earnings themselves are delivering the index’s gains. AI remains the core variable in this assessment. Large tech firms including Alphabet, Microsoft, Amazon, Meta and Oracle continue to increase capital spending on data centers and AI infrastructure, driving growth in orders for chips, servers, construction, power and related industrial chains. This provides a clearer fundamental basis for upward revisions to 2026 and 2027 earnings. The institution points out that risks exist: the earnings expansion brought by AI investments has already been quickly priced into the market. If subsequent returns on capital spending are questioned, or interest rates remain elevated, further upside for the index will require more earnings confirmation rather than relying solely on investor risk appetite.
2 minutes ago
Tom Lee: Markets have nearly priced in two interest rate hikes from the Federal Reserve this year, and the rise in US Treasury yields is weighing on market sentiment.
Tom Lee said the market is still digesting Kevin Warsh’s remarks from his first press conference last week and repricing the macro environment. Over the past week, oil prices have pulled back, with war premiums contracting. Current oil prices are not far from the roughly $65 level seen before the conflict, indicating the market views related war risks as declining. On the other hand, 10-year U.S. Treasury yields continue to rise, now around 4.5%, higher than the pre-conflict level of roughly 4.2%. The main headwind the market has faced recently has shifted from oil prices to yields. Tom Lee noted that the market is not only focused on 10-year U.S. Treasury yields but also starting to price in potential additional interest rate hikes from the Federal Reserve. According to federal funds futures, the market is currently pricing in nearly two rate hikes this year. Bank of America further projected today that the Fed will raise rates three times this year, in September, October, and December respectively. Jeffrey Gundlach often emphasizes the importance of monitoring 2-year U.S. Treasury yields, as they typically lead the Fed and signal the central bank’s policy direction. Between 2023 and 2025, the relationship between 2-year U.S. Treasury yields and the federal funds rate indicated that the Fed’s policy was overly tight, requiring interest rate cuts. However, this relationship has recently reversed, meaning the Fed would need two rate hikes to catch up with 2-year U.S. Treasury yields. He believes that, at least for now, yields have become a headwind for the market.
2 minutes ago
Japan and South Korea's stock markets closed higher across the board, with Japan's stock market hitting a new closing high.
According to Bitget market data, the Nikkei 225 index closed up 3,191.37 points, or 4.61%, at 72,366.34 points on Thursday, June 25, hitting a new all-time closing high. South Korea’s KOSPI index rose 459.76 points (5.43%) to end at 8,930.78 points; SK Hynix surged 13% while Samsung Electronics gained more than 5%.
Stifel: U.S. economy in "overheated expansion" as AI investment cycle outweighs consumer pressure
U.S. large diversified financial services holding company Stifel has raised its year-end S&P 500 target and rolled out a stock allocation framework for a "high-growth, high-inflation" environment. The firm lifted its year-end S&P 500 target to 7,800 points, noting the U.S. economy is entering a "running hot" state—where economic growth is strengthening alongside mounting inflationary pressure. Stifel’s models show U.S. growth momentum is picking up while inflation momentum is clearly overheating, a trend that will reshape the market’s leading sector structure in the second half of the year. Instead of traditional consumer sectors, Stifel’s top picks are investment-led cyclical industries, including banks, transportation, materials, energy, semiconductors, software and equipment. The firm adds that fixed-asset investment in AI remains on the rise: large tech firms including Amazon, Microsoft, Meta and Google are projected to combine for roughly $725 billion in total capital expenditures in 2026, some $100 billion higher than prior estimates. This means the AI investment chain is likely to continue outperforming the consumption chain squeezed by inflation. Stifel advises investors to reduce exposure to discretionary consumer, consumer staples, communication services and some financial services sectors, as these areas see weaker earnings revisions. Conversely, the firm favors cyclical value stocks and hedges with defensive value sectors such as insurance, autos, energy and banks.
2 minutes ago
Analyst: Micron's earnings boost overall market sentiment for the tech sector
Chris Strazzeri, Financial Trading Manager of Moomoo’s Australia and New Zealand branch, stated: “The targeted sell-off indicates that following a sustained, strong rally in AI-related and speculative growth stocks, investors are enforcing strict valuation discipline. This serves as a warning to the market that actual earnings levels must now rise to support the currently overvalued price-to-earnings ratio. Micron Technology’s post-market earnings results largely confirm this, and its robust performance has lifted overall market sentiment in the tech sector.”
2 minutes ago
2x Leveraged Long DRAM ETF (RAM) Records $383 Million in Trading Volume on Its First Day of Listing
According to Bitget market data, the Roundhill T-REX 2X Long DRAM Daily Target ETF (Nasdaq ticker: RAM) officially launched trading yesterday. On its first trading day, the fund recorded a total turnover of $383 million, and rose 29.47% in after-hours U.S. stock trading to hit $30.8. Note: RAM’s underlying exposure covers companies engaged in memory-related technologies, including DRAM, NAND and storage solutions, targeting active traders seeking leveraged exposure to the memory chip theme and artificial intelligence infrastructure development.
2 minutes ago
BCA Research raises its S&P 500 target to 8,100 points, with AI remaining a core variable.
BCA Research has become the latest strategy firm to raise its US stock market target, reflecting Wall Street’s growing optimism about earnings support for US equities in the second half of the year. The institution lifted its year-end S&P 500 target from 7,700 points to 8,100 points. BCA’s core view is that first-quarter corporate earnings exceeded expectations in both strength and breadth, and the US economy has re-entered an expansion phase. Similar to JPMorgan Chase, BCA believes this stock rally is not only driven by valuation expansion—earnings themselves are delivering the index’s gains. AI remains the core variable in this assessment. Large tech firms including Alphabet, Microsoft, Amazon, Meta and Oracle continue to increase capital spending on data centers and AI infrastructure, driving growth in orders for chips, servers, construction, power and related industrial chains. This provides a clearer fundamental basis for upward revisions to 2026 and 2027 earnings. The institution points out that risks exist: the earnings expansion brought by AI investments has already been quickly priced into the market. If subsequent returns on capital spending are questioned, or interest rates remain elevated, further upside for the index will require more earnings confirmation rather than relying solely on investor risk appetite.
2 minutes ago
Tom Lee: Markets have nearly priced in two interest rate hikes from the Federal Reserve this year, and the rise in US Treasury yields is weighing on market sentiment.
Tom Lee said the market is still digesting Kevin Warsh’s remarks from his first press conference last week and repricing the macro environment. Over the past week, oil prices have pulled back, with war premiums contracting. Current oil prices are not far from the roughly $65 level seen before the conflict, indicating the market views related war risks as declining. On the other hand, 10-year U.S. Treasury yields continue to rise, now around 4.5%, higher than the pre-conflict level of roughly 4.2%. The main headwind the market has faced recently has shifted from oil prices to yields. Tom Lee noted that the market is not only focused on 10-year U.S. Treasury yields but also starting to price in potential additional interest rate hikes from the Federal Reserve. According to federal funds futures, the market is currently pricing in nearly two rate hikes this year. Bank of America further projected today that the Fed will raise rates three times this year, in September, October, and December respectively. Jeffrey Gundlach often emphasizes the importance of monitoring 2-year U.S. Treasury yields, as they typically lead the Fed and signal the central bank’s policy direction. Between 2023 and 2025, the relationship between 2-year U.S. Treasury yields and the federal funds rate indicated that the Fed’s policy was overly tight, requiring interest rate cuts. However, this relationship has recently reversed, meaning the Fed would need two rate hikes to catch up with 2-year U.S. Treasury yields. He believes that, at least for now, yields have become a headwind for the market.
2 minutes ago
Japan and South Korea's stock markets closed higher across the board, with Japan's stock market hitting a new closing high.
According to Bitget market data, the Nikkei 225 index closed up 3,191.37 points, or 4.61%, at 72,366.34 points on Thursday, June 25, hitting a new all-time closing high. South Korea’s KOSPI index rose 459.76 points (5.43%) to end at 8,930.78 points; SK Hynix surged 13% while Samsung Electronics gained more than 5%.
