News linked to both this project and an event.
According to an official announcement by the FCA, Anthropic will provide access to its suite of Claude products (including Claude Code and Claude Cowork) for the second batch of participating enterprises in the UK Financial Conduct Authority (FCA) "Super Sandbox" to accelerate their AI development process. A total of 21 institutions were selected for the second batch, including Scottish Widows, Money Advice Trust, and TrueLayer, among others. The number of applications this time increased by 51% compared to the first batch, with a total of 199 applications received. Participating enterprises will test AI solutions focusing on the following areas: agent payment security, fraud and financial crime detection, AI governance and accountability, financial inclusion for vulnerable groups, and compliance and business automation. Additionally, the FCA simultaneously launched the "Agentic Academy"—a 10-week AI specialized training program co-hosted by the FCA and the Centre for Finance, Technology and Entrepreneurship (CFTE). Participating enterprises will continue to have access to NayaOne digital sandbox infrastructure and NVIDIA accelerated computing resource support.
Nasdaq-listed Bitcoin mining company Bitdeer released its unaudited production and operations update for June 2026. The company mined 990 Bitcoins in June, a 388% increase year-over-year; self-mining hash rate reached 73 EH/s, with total managed hash rate at 86.1 EH/s and 243,000 self-owned mining machines. Its Sealminer manufacturing facility in Nevada has broken ground, with completion expected by the end of 2026.On the AI cloud business front, monthly ARR rose to $76 million, with GPU utilization at 95%, and delivery of the NVIDIA GB300 NVL72 cluster has been completed. Bitdeer's total global controllable power capacity has reached 3.02 GW, with multiple crypto data centers simultaneously advancing plans to transition into AI computing centers. (Globenewswire)
According to Chaoxiang Research, UBS released a SemiBytes Flash Note on July 20, 2026, judging that the semiconductor sector is transitioning from a broad-based rally to a phase of severe divergence, while the AI-themed crowded trade continues. The report covers five core topics. The release of Kimi K3 drives another upgrade in open-source model scale; longer context windows boost demand for HBM and storage, with NVIDIA being the biggest beneficiary. Micron's cumulative free cash flow over the next few years is expected to exceed $400 billion; after the buyback ban is lifted, the theoretical buyback ratio could exceed 40%, which is not yet fully priced in by the market. Divergence within the analog chip sector is intensifying; stocks with higher AI exposure have gained a 42x P/E premium, while valuations for stocks with automotive and industrial exposure remain near historical averages. Position crowding data shows that Lam Research, Broadcom, Seagate, Micron, and AMD remain in a state of extreme long positioning crowding.
According to monitoring by the BlockFlow KOL opinion aggregation platform, NVIDIA (NVDA) has received bullish views from multiple KOLs, with key arguments including AI model release speeds exceeding compute supply, Morgan Stanley issuing a best risk-reward rating, and continued growth in advanced packaging capacity.
: The South Korean government plans to invest approximately 4 trillion won next year to procure 10,000 of NVIDIA's latest Vera Rubin GPUs, aiming to support the expansion of public-facing services such as "AI for All" and the construction of a national-level AI infrastructure. The Ministry of Science and ICT plans to extend the "Project for Strengthening the Foundation for Utilizing AI Computing Resources" and configure all GPUs introduced next year as Vera Rubin. This project entrusts private companies, such as cloud service providers operating data centers, with the entire process of GPU procurement, construction, and service provision, funded by the government budget. Over the past two years, through this project and other means, the South Korean government has secured over 30,000 GPUs, providing them to both the public and private sectors. Compared to the previous generation Blackwell architecture, the Vera Rubin offers up to a 6-fold improvement in training performance and over an 8-fold improvement in inference performance. A source from the Ministry of Science and ICT stated that the specific GPU procurement plan and budget size have not yet been finalized. Industry insiders mentioned that current data center space is insufficient, making it challenging to secure large-scale new resources by next year. The government is currently evaluating various alternative plans.
According to TechFlow Research, Goldman Sachs' July 16 energy storage report pointed out that electricity demand from data centers is surging, traditional grid expansion requires four to eight years, and energy storage has become the fastest solution with a 12 to 18-month deployment cycle. Goldman Sachs estimates that by 2030, behind-the-meter energy storage opportunities in the US will bring about 50GWh of increment, plus 11GWh from 800V DC data centers, total US energy storage deployment will reach 172GWh, significantly upwardly revised from the previous 112GWh. Globally, annual energy storage installations are expected to reach 2100GWh by 2040. Goldman Sachs believes energy storage is transitioning from renewable energy supporting equipment to a necessity for AI infrastructure, which will change the industry valuation logic. In terms of targets, FLNC (Buy) secured exclusive battery partner qualification for Nvidia DSX Vera Rubin, data center pipeline projects reached 12GW, up 30% sequentially; CATL (Buy) has about 30% global energy storage market share, already used in Shanghai SenseTime data center; Tesla (Neutral) 2025 energy storage deployment 46.7GWh, energy business 2028 estimated revenue 29 billion USD; Energy Vault (Neutral) received 6x EV/EBITDA valuation; LGES (Buy) North America ESS capacity expected to reach 50GWh by end of 2026. Canadian Solar, Ford, Samsung SDI, Shoals, Sungrow are also worth watching. Goldman Sachs emphasizes the need to distinguish those with real order support
According to monitoring by the BlockFlow KOL opinion aggregation platform, NVIDIA (NVDA) is collaborating with Japan's Ministry of Economy, Trade and Industry (METI) and Noetra to build a 140MW AI factory, utilizing Vera CPU and Rubin GPU to support trillion-parameter model training and robot ecosystem development, with multiple KOLs optimistic about the prospects of this collaboration.
AI infrastructure startup Fireworks AI has announced the completion of a $1.5 billion financing round, valuing the company at $17.5 billion. The company, previously backed by NVIDIA, primarily provides developers with cloud-based services for running open-source AI models, helping enterprises deploy AI applications at lower costs. This funding round was led by Atreides Management, Index Ventures, and TCV, with participation from NVIDIA, Evantic, and Lightspeed Venture Partners, among others. Currently, Fireworks processes approximately 40 trillion AI tokens daily. Its clients include companies such as Elastic, GitLab, and MongoDB. Previously, over half of its revenue came from the AI coding tool Cursor, but its client base has since become more diversified. (CNBC)
: The inaugural Web4.0 and Agent Innovation Summit, along with the launch ceremony of OPC Hub, was held at Hong Kong Cyberport. Cobo was officially announced as a partner of OPC Hub, listed alongside Alibaba Cloud, AWS, NVIDIA, Dell, Lenovo, and BytePlus. Cobo will provide blockchain infrastructure support for entrepreneurs within the ecosystem. Its product capabilities cover Agentic Wallet and stablecoin payments (Cobo Payments), enabling developers to build agent-based applications with on-chain payment capabilities.
According to TechFlow Research, on July 14, 2026, Nomura Securities released a research report citing data from Japan's Ministry of Economy, Trade and Industry. Japan's packaging substrate shipment value in May reached 27.8 billion yen, a year-on-year increase of 36%, hitting a record high; shipment area increased by 10%, and the average price rose 23% to 1.356 million yen per square meter. The report pointed out that NVIDIA Rubin packaging demand will ramp up this summer (at latest by August), but the variable worth paying more attention to is that Rubin Ultra may shift from a four-die structure to a dual-module structure, as well as the large interposer integration challenges brought by HBM4 wiring upgrades. Intel released EMIB-T technology at ECTC, expected to complete mass production readiness in 2026, capable of integrating up to 12 HBM4 units under an interposer-less solution, with power supply voltage drop improved by 68-80% compared to EMIB; TSMC maintains its lead relying on 3DFabric Alliance and advantages in power delivery and heat dissipation. Nomura Securities believes that the core battlefield of the next-generation packaging competition lies in power delivery, heat dissipation, CPO, and 3D hybrid bonding, and excess returns in the packaging substrate industry will come from the ability to bind to customer technology roadmaps.
Bitget has listed 16 US stock tokens, including rXBI (S&P Biotech ETF-SPDR), rDIA (SPDR Dow Jones Industrial Average ETF Trust), rKSTR (SSE STAR 50 Index ETF), rJBL (Jabil Inc.), and rKR (Kroger), covering sectors such as finance, healthcare, information technology, and industrials. It is reported that rTokens, identified by the letter 'r' + stock ticker (e.g., NVIDIA as rNVDA), are issued by Reality, a licensed RWA protocol under Bitget. They directly connect to global liquidity pools such as Nasdaq and NYSE through cooperation with compliant broker Alpaca. Their features include: underlying assets 1:1 reserved and custodied by licensed custodians, stock dividends distributed 1:1 in token form, support for synchronous mapping of corporate actions (stock splits, etc.), and holdings can serve as combined margin for unified accounts and USDT-margined contracts, allowing users to flexibly manage funds while holding global stock assets.
Apple is shifting its reliance to NVIDIA GPUs to support its artificial intelligence operations, as the company's self-developed M2 Ultra chip has failed to meet expectations when running advanced AI workloads.Sources indicate that Apple previously attempted to use its own servers to run Google's Gemini model to power AI capabilities for the new Siri. However, the performance of its chips fell short of requirements, ultimately forcing the company to turn to NVIDIA GPUs deployed on Google Cloud. Additionally, the development of Apple's next-generation AI server chip, "Baltra," has been delayed, while the M7 Ultra chip, which is expected to rival the performance of NVIDIA's Blackwell architecture, is unlikely to be launched before 2029 at the earliest. (Coin Bureau)
Odaily Odaily news, according to the official announcement, Bitget's Staking Borrowing section has newly added support for 39 stock tokens (rToken) as collateral assets. The newly listed targets include popular US stocks and ETFs such as rAMD, rSMH, rARM, and rSKHY, covering diverse categories including semiconductors, finance, healthcare, and energy.Users holding relevant stock tokens can now use them as collateral to borrow mainstream assets like USDT and USDC, unlocking liquidity without selling their holdings. The corresponding feature on the Web platform has been launched, with the App version expected to go live within this week. Specific collateral parameters and more details can be found on the Bitget official platform.It is reported that rTokens, identified by the letter r + stock ticker (e.g., rNVDA for NVIDIA), are issued by Reality, a licensed RWA protocol under Bitget. By partnering with the compliant brokerage Alpaca, it connects directly to global liquidity pools such as Nasdaq and the NYSE. Its features include: 1:1 reserve of underlying assets held by a licensed custodian, stock dividends distributed 1:1 in token form, synchronized mapping of corporate actions (stock splits, reverse splits, etc.), and the ability to use holdings as combined margin for unified accounts and USDT-margined contracts, allowing users to manage funds flexibly while holding global stock assets.
Odaily reports, as the value of the artificial intelligence industry rapidly increases, political and tech circles in the United States have begun discussing how to share the immense wealth generated by AI with the public. A series of proposals all point in the same direction: having the government or public institutions hold equity in AI companies.Recently, Sam Altman discussed the possibility of granting the U.S. government or other public entities partial ownership in OpenAI. Meanwhile, the U.S. government already holds approximately 10% of Intel's shares, and it has indicated it may receive a certain percentage of revenue from NVIDIA's chip sales to China.U.S. Senator Bernie Sanders proposed that major AI laboratories contribute half of their shares to a new sovereign wealth fund, allowing the public to share in the growth dividends of the AI industry.Observers suggest that these plans essentially aim to redistribute some of the economic benefits from AI development back to society. However, critics point out that most current proposals boil down to one model: having the government hold equity in AI companies.Supporters argue that AI could become the most significant productivity transformation in the coming decades, and involving the government in revenue distribution could alleviate wealth concentration. Opponents, however, worry that direct government ownership of stakes in tech companies could impact market competition, corporate governance, and innovation incentives.As the valuation of the AI industry continues to rise, how to distribute the economic benefits generated by artificial intelligence is becoming a core topic of debate among U.S. policymakers and the tech industry. (The Information)
cloud computing service provider Nebius Group has announced an agreement with AI model development company Reflection AI to sell it computing power worth over $1 billion. According to a joint statement, the agreement is valid until 2029, and Reflection AI will gain access to computing resources powered by NVIDIA GB300 AI chips to support its artificial intelligence model research and development. (Bloomberg)
According to TechFlow Research, Morgan Stanley's July 13 roadshow feedback report points out that Nvidia's current biggest problem is not fundamentals, but the market capitalization size leading to a lack of incremental capital. Quarterly growth is 95% and management believes growth will accelerate; next year's free cash flow yield will exceed 5%, with over half potentially returned to shareholders, so value investors may become the new buying force. Morgan Stanley also focuses on Nvidia's NeoCloud financing support model, providing credit endorsement for cloud service providers in exchange for revenue sharing, creating a recurring revenue stream with 100% gross margin beyond hardware. Morgan Stanley maintains an Overweight rating on Nvidia with a target price of $288.
According to The Block, Hyperliquid's HIP-3 framework—a permissionless mechanism that allows developers to freely deploy perpetual contract markets—has seen its trading volume share surge from about 2% at the beginning of the year to nearly 50% currently, with growth primarily driven by demand for on-chain stock trading. Currently, this sector is dominated by TradeXYZ, whose products include XYZ100, which tracks the Nasdaq 100 Index, as well as perpetual contracts for individual stocks such as NVIDIA and Tesla, all settled in stablecoins. Analysts point out that the core appeal of on-chain stock perpetual contracts lies in two aspects: first, the no-expiration design avoids time value decay compared to traditional options, making it more intuitive for retail traders accustomed to simple long/short positions; second, 24/7 non-stop trading enables users to respond immediately when news is released, without waiting for traditional markets to open.
Odaily Odaily reports, according to official announcement, Bitget Margin Lending has now added support for stock tokens (rToken) as collateral assets. The first batch includes 26 popular US stock and ETF tokens such as rNVDA, rAAPL, rGOOGL, and rQQQ, covering sectors including technology, semiconductors, and index funds.Users holding these stock tokens can now use them as collateral to borrow mainstream assets like USDT and USDC, thereby unlocking capital liquidity without selling their holdings. The web version of this feature is now live, and the app version will be available next week. For specific collateral parameters and more details, please refer to the official Bitget platform.It is reported that rTokens, identified by the letter "r" followed by the stock ticker (e.g., rNVDA for NVIDIA), are issued by Reality, a licensed RWA protocol under Bitget. Through a partnership with compliant broker Alpaca, they are directly connected to global liquidity pools such as Nasdaq and NYSE. Their features include: 1:1 reserve of underlying assets custodied by a licensed custodian; stock dividends distributed 1:1 in token form; support for synchronous reflection of corporate actions (such as stock splits and reverse splits); and the ability to serve as joint margin for unified accounts and USDT-margined futures contracts, allowing users to flexibly manage their capital while holding global stock assets.
According to official news, Prime Intellect announced the completion of a $130 million Series A financing round, led by Radical Ventures with participation from NVIDIA, Intel Capital, Dell Capital, and existing investors. The company stated that it will utilize the funds to continue building its "Open Superintelligence Stack" to support users in training, deploying, and continuously optimizing their own models.
Odaily, Bitget announced that the Assets Under Management (AUM) for its stock token (rToken) product has exceeded $100 million within one month of launch. As of July 6, the number of users participating in related asset trading surpassed 100,000, with cumulative trading volume reaching $671.37 million.Looking at asset distribution, rSPCX is the rToken with the highest TVL, accounting for 23.51%; rCSCO and rNVDA follow with 17.75% and 13.38%, respectively. The overall ranking indicates that early demand for rTokens was primarily driven by high-interest private market assets and technology-related targets. Among these, AI infrastructure assets, covering areas such as networks, chips, storage, and semiconductors, have formed a significant demand cluster.It is reported that rTokens, identified by the prefix "r" followed by the stock ticker (e.g., rNVDA for NVIDIA), are issued by Reality, a licensed RWA protocol under Bitget. By partnering with the compliant brokerage Alpaca, they directly connect to global liquidity pools such as Nasdaq and the NYSE. Key features include: 1:1 reserve backing of underlying assets held by a licensed custodian, 1:1 distribution of stock dividends in token form, synchronized mirroring of corporate actions like stock splits and reverse splits, and the ability to use holdings as joint margin for unified accounts and USDT-margined contracts. This allows users to hold global stock assets while still flexibly managing their capital.