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Project Overview
NVIDIA Corporation (NVIDIA) is a technology company focused on accelerated computing innovation. With GPU (graphics processing unit) as its core technology, it promotes the revolution of artificial intelligence (AI), graphics rendering and high-performance computing (HPC). NVIDIA's ecosystem covers hardware (such as GPU, CPU), software platforms (such as CUDA, Omniverse) and cloud services, sustainable computing and digital twin technology.
Sharon AI and NVIDIA Reach 6-Year AI Computing Partnership, to Deploy 72MW Data Center with 40,000 GB300 GPUs
Sharon AI Holdings, a Nasdaq-listed company, announced a six-year strategic computing cooperation agreement with NVIDIA to jointly expand AI infrastructure capabilities in Australia.Under the agreement, the two parties will collaborate to build approximately 72MW of data center computing capacity and deploy infrastructure based on the NVIDIA DSX AI Factory architecture. The plan is to gradually scale up to 40,000 Grace Blackwell GB300 GPUs to meet the computing needs of AI startups, enterprise clients, and research institutions.The cooperation model adopts a structure combining revenue generation with credit support: Sharon AI will be responsible for selling cloud services based on NVIDIA's computing power, while NVIDIA, upon receiving hardware and basic product revenue, will also participate in a share of cloud service revenue, forming a sustainable "usage-driven revenue model."Sharon AI stated that this collaboration will significantly enhance its capital efficiency, enabling it to expand AI infrastructure capabilities without relying on traditional heavy-asset financing and accelerate the deployment of "sovereign AI computing power" in Australia. With this partnership, Sharon AI's total AI factory capacity will increase to 132MW, of which approximately 102MW is already contracted by clients. The company expects to deploy over 55,000 NVIDIA GPUs by mid-2027. (Businesswire)
OpenRouter Completes $113 Million Series B Funding Round Led by CapitalG
OpenRouter, an AI model aggregation platform founded by OpenSea co-founder Alex Atallah, has announced the completion of a $113 million Series B funding round, led by CapitalG, the growth fund under Alphabet, Google's parent company.Other participants in this funding round include a16z, Menlo Ventures, NVentures (affiliated with NVIDIA), as well as ServiceNow, MongoDB, Snowflake, and Databricks. The company's valuation has now exceeded $1 billion.
AI hardware startup Hark completes $700 million Series A funding at a $6 billion valuation, led by Parkway Venture Capital
AI hardware startup Hark announced the completion of a $700 million funding round, reaching a post-investment valuation of $6 billion. This Series A round was led by Parkway Venture Capital, with participation from NVIDIA, AMD Ventures, ARK Invest, Brookfield, Greycroft, Intel Capital, Qualcomm Ventures, Salesforce Ventures, and others. The new funds will be used to expand GPU infrastructure and accelerate large model research and development. (Bloomberg)
AI startup Hark closes $700M Series A funding round at a $6B valuation, led by Parkway Venture Capital
AI startup Hark announced it has raised $700 million in funding, achieving a post-money valuation of $6 billion. This Series A round was led by Parkway Venture Capital, with participation from NVIDIA, AMD Ventures, ARK Invest, Brookfield, Greycroft, Intel Capital, Qualcomm Ventures, and Salesforce Ventures.
Bitget UEX continues to expand, now supporting over 340 US stock assets
amidst the US earnings season and the continuous advancement of AI narratives by tech giants, according to official sources from Bitget, the platform has recently added 10 new US stock contract targets. As a result, Bitget's Universal Exchange (UEX) now supports 263 US stock tokens and 81 US stock contracts. The total number of US stock-related assets tradable across the entire platform has exceeded 340.This week enters a period of密集 earnings reports and macroeconomic data releases. Through continuous expansion, Bitget aims to provide users with a wide range of cross-market asset allocation channels.3 Key Focus Targets This Week:• NVDA (NVIDIA): Will release Q1 earnings after the US market closes on May 20. The implied volatility from the options market suggests a potential single-day swing of over 7.5%. As the core of AI computing power, its performance will directly impact the overall valuation trend of the tech sector.• GOOGL (Google): Recently, at its I/O conference, Google intensively released multiple new products such as Gemini 3.5 and AI agents. The market is closely monitoring the subsequent pace of commercial implementation and revenue monetization capabilities.• WMT (Walmart): Will release Q1 earnings before the market opens on May 21. As a retail giant, Walmart's resilience during the consumer downturn cycle is under significant scrutiny. The earnings results and guidance will directly influence investors' assessment of full-year growth expectations and the stock's short-term performance.
Bitget U.S. IPO Prime Phase II: OpenAI’s IPO Subscription Opens on May 12
According to the official announcement, the second asset launched on Bitget IPO Prime is preOPAI—a digital token issued by the regulated issuer Republic on the Solana blockchain, designed to mirror OpenAI’s post-IPO economic performance on a 1:1 basis. As the world’s leading consumer AI provider, OpenAI reports approximately 900 million weekly active users, according to official data. Its most recent funding round raised $122 billion, with participants including Microsoft, NVIDIA, Amazon, and SoftBank. Bitget IPO Prime operates on a subscription model, whereby users receive subscription quotas based on their account tier. Upon completion of token allocation, users may trade the tokens on the upcoming spot market. Alternatively, after the lock-up period for preOPAI’s underlying debt assets expires, the issuer will authorize Bitget to convert users’ holdings into either stock tokens or USDT, referencing the underlying company’s (OpenAI’s) publicly traded stock price. IPO Prime Details: • OpenAI Implied Valuation: $898.21 billion • Total IPO Prime Subscriptions: 29,082 • Total Subscription Value: $21,084,450 • Subscription Price: 1 preOPAI = $725 • Accepted Subscription Currencies: USDT or USDGO • Total Subscription Pool Cap: $300,000,000
Bitget launches SpaceX stock spot trading, with zero fees on the first day and support for fractional share trading
according to the official announcement, SpaceX (SPCX) was listed on NASDAQ today, and Bitget has simultaneously opened its US stock spot token rSPCX trading channel. From now until 12:00 PM EST on June 13, trading rSPCX enjoys a 0 fee promotion, supports fractional share trading, with a minimum of 10 USDT required. Additionally, users can participate in leveraged trading through Bitget stock contracts.It is reported that rTokens, identified by the letter r followed by the stock symbol (e.g., rNVDA for NVIDIA), are issued by Reality, a licensed RWA protocol under Bitget. Through a partnership with the compliant broker Alpaca, they directly connect to global liquidity pools such as NASDAQ and the NYSE. Their features include: 1:1 reserve of underlying assets held by a licensed custodian, 1:1 distribution of stock dividends in token form, synchronous mapping of corporate actions like stock splits and reverse splits, and the ability for holdings to serve as joint margin for unified accounts and USDT-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Bitget Stock Spot Launches Weekend Trading, First Batch Supports 20 Stocks Including NVIDIA and Apple
: According to an official announcement, to meet users' round-the-clock trading needs, Bitget Stock Spot (rToken) has officially launched its weekend trading feature. The first batch supports 20 popular U.S. stock options, including rAAPL (Apple), rNVDA (NVIDIA), and rTSLA (Tesla).During U.S. stock market closures, the platform will generate continuous weekend trading prices based on Friday's closing prices, market maker quotes, and market expectations. This feature supports limit orders and stop-loss/take-profit settings. To prevent abnormal fluctuations, the system implements an approximate ±20% protection limit for weekend limit orders.rToken, identified by the letter "r" followed by the stock ticker (e.g., rNVDA for NVIDIA), is issued by Reality, a licensed RWA protocol under Bitget. Through a partnership with compliant broker Alpaca, it connects directly to global liquidity pools such as Nasdaq and the New York Stock Exchange. Its features include: 1:1 reserves of the underlying assets held by a licensed custodian, stock dividends distributed 1:1 in token form, corporate actions such as stock splits and reverse splits synchronously reflected, and holdings can be used as joint margin for unified accounts and U-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Sources: NVIDIA plans to pitch Vera AI CPU to Chinese clients, some cloud providers eyeing test deployment
sources say NVIDIA has begun pitching its first independent central processing unit (CPU) product, Vera, to Chinese clients. Designed specifically for Agentic AI systems, the chip has entered mass production, marking NVIDIA's attempt to further expand its presence in the Chinese market with a CPU offering.According to sources, some Chinese clients have already shown interest in Vera. One major Chinese cloud computing company plans to procure over 300 servers equipped with dual Vera CPUs for testing, and will decide whether to expand procurement after the tests are completed.Built on the Arm Holdings architecture, Vera is NVIDIA's first independent CPU product. NVIDIA has previously stated that Vera's performance in AI agent-related computing tasks is 1.8 times that of comparable competitor products, and expects the product to contribute approximately $20 billion in revenue by the end of this fiscal year (ending January next year).The report notes that as the AI industry's focus gradually shifts from model training to inference computing, CPUs and custom chips are gaining more attention. Vera also positions NVIDIA to directly compete with Intel and Advanced Micro Devices (AMD), which have long dominated the server CPU market.Sources indicate that due to strict U.S. export restrictions on high-end GPUs, CPUs face relatively smaller regulatory hurdles in the Chinese market compared to GPU products. Currently, some Chinese clients plan to first deploy Vera chips for testing in overseas data centers. Meanwhile, software ecosystem compatibility and existing domestic AI chip deployment frameworks may still impact the subsequent large-scale adoption of Vera. (Reuters)
“New Stock God” Serenity: AAOI, SIVE, Foci, and Shunsin Are the 4 Stocks with the Best Risk-Reward Ratio at Current Levels
“New Stock God” Serenity shared on platform X his top 4 most favored stocks currently: AAOI, SIVE, Foci, and Shunsin, stating that at their current market capitalizations, these targets offer the best risk-reward ratio.He indicated that AAOI benefits from capacity expansion in 2027 and growing demand for silicon photonics; SIVE’s photonics business revenue pipeline is growing rapidly with high profit margins; Foci is a key participant in the NVIDIA and TSMC FAU supply chain; and Shunsin is deeply involved in the CPO and photonics packaging business undertaken by Foxconn, yet its related value has not been fully priced in by the market.Additionally, Serenity listed XFAB as a “runner-up” target, believing it stands to benefit from the EU's Chips Act 2 and the development of the silicon photonics industry.
U.S. Approves Sale of NVIDIA H200 Chips to 10 Chinese Companies
According to a Reuters report, the U.S. has approved the sale of NVIDIA H200 AI chips to 10 Chinese companies, including Alibaba, Tencent, and ByteDance; however, no chips have been delivered yet, and related transactions have stalled. The report notes that NVIDIA CEO Jensen Huang joined the U.S. delegation during President Donald Trump’s visit to China in an effort to advance H200 chip sales in China. The U.S. Department of Commerce has also authorized certain distributors—including Lenovo and Foxconn—to directly procure and resell the chips. Yet, due to stringent U.S. restrictions on H200 exports—including security, end-use, revenue-sharing, and legal requirements—these conditions conflict with China’s supply-chain security policies, resulting in increasingly strict order approvals.
Bitget U.S. IPO Prime Phase II: OpenAI’s IPO Subscription Opens on May 12
According to the official announcement, the second asset launched on Bitget IPO Prime is preOPAI—a digital token issued by the regulated issuer Republic on the Solana blockchain, designed to mirror OpenAI’s post-IPO economic performance on a 1:1 basis. As the world’s leading consumer AI provider, OpenAI reports approximately 900 million weekly active users, according to official data. Its most recent funding round raised $122 billion, with participants including Microsoft, NVIDIA, Amazon, and SoftBank. Bitget IPO Prime operates on a subscription model, whereby users receive subscription quotas based on their account tier. Upon completion of token allocation, users may trade the tokens on the upcoming spot market. Alternatively, after the lock-up period for preOPAI’s underlying debt assets expires, the issuer will authorize Bitget to convert users’ holdings into either stock tokens or USDT, referencing the underlying company’s (OpenAI’s) publicly traded stock price. IPO Prime Details: • OpenAI Implied Valuation: $898.21 billion • Total IPO Prime Subscriptions: 29,082 • Total Subscription Value: $21,084,450 • Subscription Price: 1 preOPAI = $725 • Accepted Subscription Currencies: USDT or USDGO • Total Subscription Pool Cap: $300,000,000
Nvidia pushes the PCB materials competition upstream, HVLP4 copper foil supply gap widens
Citrini analyst jukan posted on platform X, stating that as the expansion of AI infrastructure demand drives an increase in high-end PCB orders, new bottlenecks have emerged in the upstream CCL supply chain; following T-glass fiber cloth, HVLP4 copper foil is expected to become a key constraint from the second half of the year onwards.Industry insiders say that NVIDIA and its major clients have once again directly intervened in material supply coordination to ensure that the mass production and shipment plans for next-generation AI servers remain on track. Led by NVIDIA, clients are now bypassing CCL manufacturers, directly engaging with upstream material suppliers, managing glass fiber cloth and copper foil themselves, providing suppliers with clearer order visibility, shifting to a direct consignment model, and locking in key material production capacity more than a year in advance.The supply-demand gap is expected to exceed 40% in 2026, and will still be 25% in 2027. As major AI servers and high-speed computing platforms migrate from HVLP2/HVLP3 to HVLP4, the demand for HVLP4 copper foil is rising. The supply shortage is expected to reach 1,500 tons in 2026; Mitsui Kinzoku and Co-Tech are expanding production, but the HVLP4 supply gap is projected to widen to 2,500 tons by 2027.
A whale shorted Samsung Electronics and SK Hynix on Hyperliquid with 4x leverage, holding a position worth $13 million.
According to Hyperinsight’s monitoring, the Korea Composite Stock Price Index (KOSPI) surged again during trading hours and triggered a circuit breaker. Samsung Electronics and SK Hynix continued their upward momentum, rising 7.5% and 12.9%, respectively. Notably, SK Hynix led the gains, buoyed by positive news of its collaboration with NVIDIA to jointly develop next-generation memory; its share price rebounded above USD 1,400.
AI Industry Express: NVIDIA NVL576 Optical Engine Configuration May Increase by 78%, Potentially Benefiting Lumentum, Coherent, etc.
According to Citrini analyst Jukan, FundaAI's latest report reveals that NVIDIA's NVL576 passive co-packaged optics technology nearly doubles the density of optical engines and optical components. The passive co-packaged optics technology increases the configuration volume of 3.2T optical engines per GPU from approximately 2.25 to around 4.0, an increase of 78%. It is estimated that the demand for Rubin Ultra optical engines will reach about 12 million units.This news may directly benefit direct suppliers of optical engines, including Lumentum, Coherent, POET, among others.
NVIDIA slashes next-gen rack memory configuration, causing memory stocks to plummet? SemiAnalysis founder clarifies: too clickbait-ish
: According to market sources this evening, a recent report by SemiAnalysis stated that "NVIDIA's next-generation AI server cluster, Rubin NVL72, has made significant adjustments to its memory configuration. To address supply chain constraints and ensure timely delivery of the Rubin racks, the memory capacity per rack has been drastically reduced from the original plan of 55TB to 28TB, a cut of approximately 50%. This involves using a scaled-down 96GB SOCAMM memory module instead of the previously planned 192GB high-end module." Following this news, memory-related stocks including Micron and SK Hynix came under pressure and declined.In response, SemiAnalysis founder, CEO, and Chief Analyst Dylan Patel (@dylan522p) stated, "I love it when people share what we say while missing most of the content in the note. Our original report did not use this clickbait-style headline."
“New Stock God” Serenity Surpasses Musk to Top X Platform Subscriber Rankings
"new stock god" Serenity posted on X platform, stating that its number of X platform subscribers exceeded 47,000, surpassing Musk to claim the top spot. Serenity is a highly influential veteran trader on the WallStreetBets (WSB) subreddit. All core research findings are consistently made public for free, with the research framework focused on the key supporting links within the NVIDIA AI chip supply chain. By thoroughly analyzing the indispensable "screw" type components in the chip manufacturing and packaging process, Serenity precisely identifies critical bottleneck points (Chokepoints) in the supply chain, and accordingly uncovers upstream targets with scarcity and pricing power for strategic positioning.
Floating profit of $1.461M: An address holds long positions in NVDA and MRVL while opening a short position in ETH
Odaily Odaily News: According to on-chain analyst Ai Yi's monitoring, an address currently holds 3x long positions in NVIDIA and Marvell Technology worth $27.18 million, with a floating profit of $1.382 million. Additionally, it has opened a 3x short position of $4.944 million in ethereum:native, with an entry price of $2,006.6, yielding a floating profit of $72,000. The current total floating profit stands at $1.461 million.
Bitget, in collaboration with Block Scholes, releases the RWA Liquidity Report; NVIDIA perpetual contract liquidity reaches 70% of BTC spot liquidity.
Bitget, in collaboration with Block Scholes, has released an RWA perpetual contract liquidity report. Data shows that Bitget’s tokenized stock and commodity markets have continued to mature since 2026. Taking NVIDIA (NVDA-USDT) as an example, as of mid-May, the order book liquidity within a ±2% spread reached approximately $4.1 million—roughly 75% of Bitget’s Bitcoin spot market depth.
Bitget launches SpaceX stock spot trading, with zero fees on the first day and support for fractional share trading
according to the official announcement, SpaceX (SPCX) was listed on NASDAQ today, and Bitget has simultaneously opened its US stock spot token rSPCX trading channel. From now until 12:00 PM EST on June 13, trading rSPCX enjoys a 0 fee promotion, supports fractional share trading, with a minimum of 10 USDT required. Additionally, users can participate in leveraged trading through Bitget stock contracts.It is reported that rTokens, identified by the letter r followed by the stock symbol (e.g., rNVDA for NVIDIA), are issued by Reality, a licensed RWA protocol under Bitget. Through a partnership with the compliant broker Alpaca, they directly connect to global liquidity pools such as NASDAQ and the NYSE. Their features include: 1:1 reserve of underlying assets held by a licensed custodian, 1:1 distribution of stock dividends in token form, synchronous mapping of corporate actions like stock splits and reverse splits, and the ability for holdings to serve as joint margin for unified accounts and USDT-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Bitget Stock Spot Launches Weekend Trading, First Batch Supports 20 Stocks Including NVIDIA and Apple
: According to an official announcement, to meet users' round-the-clock trading needs, Bitget Stock Spot (rToken) has officially launched its weekend trading feature. The first batch supports 20 popular U.S. stock options, including rAAPL (Apple), rNVDA (NVIDIA), and rTSLA (Tesla).During U.S. stock market closures, the platform will generate continuous weekend trading prices based on Friday's closing prices, market maker quotes, and market expectations. This feature supports limit orders and stop-loss/take-profit settings. To prevent abnormal fluctuations, the system implements an approximate ±20% protection limit for weekend limit orders.rToken, identified by the letter "r" followed by the stock ticker (e.g., rNVDA for NVIDIA), is issued by Reality, a licensed RWA protocol under Bitget. Through a partnership with compliant broker Alpaca, it connects directly to global liquidity pools such as Nasdaq and the New York Stock Exchange. Its features include: 1:1 reserves of the underlying assets held by a licensed custodian, stock dividends distributed 1:1 in token form, corporate actions such as stock splits and reverse splits synchronously reflected, and holdings can be used as joint margin for unified accounts and U-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Sharon AI and NVIDIA Reach 6-Year AI Computing Partnership, to Deploy 72MW Data Center with 40,000 GB300 GPUs
Sharon AI Holdings, a Nasdaq-listed company, announced a six-year strategic computing cooperation agreement with NVIDIA to jointly expand AI infrastructure capabilities in Australia.Under the agreement, the two parties will collaborate to build approximately 72MW of data center computing capacity and deploy infrastructure based on the NVIDIA DSX AI Factory architecture. The plan is to gradually scale up to 40,000 Grace Blackwell GB300 GPUs to meet the computing needs of AI startups, enterprise clients, and research institutions.The cooperation model adopts a structure combining revenue generation with credit support: Sharon AI will be responsible for selling cloud services based on NVIDIA's computing power, while NVIDIA, upon receiving hardware and basic product revenue, will also participate in a share of cloud service revenue, forming a sustainable "usage-driven revenue model."Sharon AI stated that this collaboration will significantly enhance its capital efficiency, enabling it to expand AI infrastructure capabilities without relying on traditional heavy-asset financing and accelerate the deployment of "sovereign AI computing power" in Australia. With this partnership, Sharon AI's total AI factory capacity will increase to 132MW, of which approximately 102MW is already contracted by clients. The company expects to deploy over 55,000 NVIDIA GPUs by mid-2027. (Businesswire)
Sources: NVIDIA plans to pitch Vera AI CPU to Chinese clients, some cloud providers eyeing test deployment
sources say NVIDIA has begun pitching its first independent central processing unit (CPU) product, Vera, to Chinese clients. Designed specifically for Agentic AI systems, the chip has entered mass production, marking NVIDIA's attempt to further expand its presence in the Chinese market with a CPU offering.According to sources, some Chinese clients have already shown interest in Vera. One major Chinese cloud computing company plans to procure over 300 servers equipped with dual Vera CPUs for testing, and will decide whether to expand procurement after the tests are completed.Built on the Arm Holdings architecture, Vera is NVIDIA's first independent CPU product. NVIDIA has previously stated that Vera's performance in AI agent-related computing tasks is 1.8 times that of comparable competitor products, and expects the product to contribute approximately $20 billion in revenue by the end of this fiscal year (ending January next year).The report notes that as the AI industry's focus gradually shifts from model training to inference computing, CPUs and custom chips are gaining more attention. Vera also positions NVIDIA to directly compete with Intel and Advanced Micro Devices (AMD), which have long dominated the server CPU market.Sources indicate that due to strict U.S. export restrictions on high-end GPUs, CPUs face relatively smaller regulatory hurdles in the Chinese market compared to GPU products. Currently, some Chinese clients plan to first deploy Vera chips for testing in overseas data centers. Meanwhile, software ecosystem compatibility and existing domestic AI chip deployment frameworks may still impact the subsequent large-scale adoption of Vera. (Reuters)
OpenAI is negotiating a 20-year lease agreement, with NVIDIA potentially providing credit support.
According to The Information, OpenAI is negotiating a 20-year lease agreement, which would represent its largest infrastructure investment commitment to date. NVIDIA has discussed providing credit support for this project.
Related news
Bitget, in collaboration with Block Scholes, releases the RWA Liquidity Report; NVIDIA perpetual contract liquidity reaches 70% of BTC spot liquidity.
Bitget, in collaboration with Block Scholes, has released an RWA perpetual contract liquidity report. Data shows that Bitget’s tokenized stock and commodity markets have continued to mature since 2026. Taking NVIDIA (NVDA-USDT) as an example, as of mid-May, the order book liquidity within a ±2% spread reached approximately $4.1 million—roughly 75% of Bitget’s Bitcoin spot market depth.
Bitget launches SpaceX stock spot trading, with zero fees on the first day and support for fractional share trading
according to the official announcement, SpaceX (SPCX) was listed on NASDAQ today, and Bitget has simultaneously opened its US stock spot token rSPCX trading channel. From now until 12:00 PM EST on June 13, trading rSPCX enjoys a 0 fee promotion, supports fractional share trading, with a minimum of 10 USDT required. Additionally, users can participate in leveraged trading through Bitget stock contracts.It is reported that rTokens, identified by the letter r followed by the stock symbol (e.g., rNVDA for NVIDIA), are issued by Reality, a licensed RWA protocol under Bitget. Through a partnership with the compliant broker Alpaca, they directly connect to global liquidity pools such as NASDAQ and the NYSE. Their features include: 1:1 reserve of underlying assets held by a licensed custodian, 1:1 distribution of stock dividends in token form, synchronous mapping of corporate actions like stock splits and reverse splits, and the ability for holdings to serve as joint margin for unified accounts and USDT-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Bitget Stock Spot Launches Weekend Trading, First Batch Supports 20 Stocks Including NVIDIA and Apple
: According to an official announcement, to meet users' round-the-clock trading needs, Bitget Stock Spot (rToken) has officially launched its weekend trading feature. The first batch supports 20 popular U.S. stock options, including rAAPL (Apple), rNVDA (NVIDIA), and rTSLA (Tesla).During U.S. stock market closures, the platform will generate continuous weekend trading prices based on Friday's closing prices, market maker quotes, and market expectations. This feature supports limit orders and stop-loss/take-profit settings. To prevent abnormal fluctuations, the system implements an approximate ±20% protection limit for weekend limit orders.rToken, identified by the letter "r" followed by the stock ticker (e.g., rNVDA for NVIDIA), is issued by Reality, a licensed RWA protocol under Bitget. Through a partnership with compliant broker Alpaca, it connects directly to global liquidity pools such as Nasdaq and the New York Stock Exchange. Its features include: 1:1 reserves of the underlying assets held by a licensed custodian, stock dividends distributed 1:1 in token form, corporate actions such as stock splits and reverse splits synchronously reflected, and holdings can be used as joint margin for unified accounts and U-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Sharon AI and NVIDIA Reach 6-Year AI Computing Partnership, to Deploy 72MW Data Center with 40,000 GB300 GPUs
Sharon AI Holdings, a Nasdaq-listed company, announced a six-year strategic computing cooperation agreement with NVIDIA to jointly expand AI infrastructure capabilities in Australia.Under the agreement, the two parties will collaborate to build approximately 72MW of data center computing capacity and deploy infrastructure based on the NVIDIA DSX AI Factory architecture. The plan is to gradually scale up to 40,000 Grace Blackwell GB300 GPUs to meet the computing needs of AI startups, enterprise clients, and research institutions.The cooperation model adopts a structure combining revenue generation with credit support: Sharon AI will be responsible for selling cloud services based on NVIDIA's computing power, while NVIDIA, upon receiving hardware and basic product revenue, will also participate in a share of cloud service revenue, forming a sustainable "usage-driven revenue model."Sharon AI stated that this collaboration will significantly enhance its capital efficiency, enabling it to expand AI infrastructure capabilities without relying on traditional heavy-asset financing and accelerate the deployment of "sovereign AI computing power" in Australia. With this partnership, Sharon AI's total AI factory capacity will increase to 132MW, of which approximately 102MW is already contracted by clients. The company expects to deploy over 55,000 NVIDIA GPUs by mid-2027. (Businesswire)
Sources: NVIDIA plans to pitch Vera AI CPU to Chinese clients, some cloud providers eyeing test deployment
sources say NVIDIA has begun pitching its first independent central processing unit (CPU) product, Vera, to Chinese clients. Designed specifically for Agentic AI systems, the chip has entered mass production, marking NVIDIA's attempt to further expand its presence in the Chinese market with a CPU offering.According to sources, some Chinese clients have already shown interest in Vera. One major Chinese cloud computing company plans to procure over 300 servers equipped with dual Vera CPUs for testing, and will decide whether to expand procurement after the tests are completed.Built on the Arm Holdings architecture, Vera is NVIDIA's first independent CPU product. NVIDIA has previously stated that Vera's performance in AI agent-related computing tasks is 1.8 times that of comparable competitor products, and expects the product to contribute approximately $20 billion in revenue by the end of this fiscal year (ending January next year).The report notes that as the AI industry's focus gradually shifts from model training to inference computing, CPUs and custom chips are gaining more attention. Vera also positions NVIDIA to directly compete with Intel and Advanced Micro Devices (AMD), which have long dominated the server CPU market.Sources indicate that due to strict U.S. export restrictions on high-end GPUs, CPUs face relatively smaller regulatory hurdles in the Chinese market compared to GPU products. Currently, some Chinese clients plan to first deploy Vera chips for testing in overseas data centers. Meanwhile, software ecosystem compatibility and existing domestic AI chip deployment frameworks may still impact the subsequent large-scale adoption of Vera. (Reuters)
Nvidia pushes the PCB materials competition upstream, HVLP4 copper foil supply gap widens
Citrini analyst jukan posted on platform X, stating that as the expansion of AI infrastructure demand drives an increase in high-end PCB orders, new bottlenecks have emerged in the upstream CCL supply chain; following T-glass fiber cloth, HVLP4 copper foil is expected to become a key constraint from the second half of the year onwards.Industry insiders say that NVIDIA and its major clients have once again directly intervened in material supply coordination to ensure that the mass production and shipment plans for next-generation AI servers remain on track. Led by NVIDIA, clients are now bypassing CCL manufacturers, directly engaging with upstream material suppliers, managing glass fiber cloth and copper foil themselves, providing suppliers with clearer order visibility, shifting to a direct consignment model, and locking in key material production capacity more than a year in advance.The supply-demand gap is expected to exceed 40% in 2026, and will still be 25% in 2027. As major AI servers and high-speed computing platforms migrate from HVLP2/HVLP3 to HVLP4, the demand for HVLP4 copper foil is rising. The supply shortage is expected to reach 1,500 tons in 2026; Mitsui Kinzoku and Co-Tech are expanding production, but the HVLP4 supply gap is projected to widen to 2,500 tons by 2027.