Vera
Powering non-custodial NFTs rentals and buy now pay later for any app
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Project Overview
Vera is an open financial platform for NFT assets. It offers decentralized financing, leasing, lending, and other essential financial services for any NFT marketplace, game, or application.
Goldman Sachs: Data Center Power Scramble Spurs 50GWh Energy Storage Growth, FLNC Secures Exclusive NVIDIA Deal
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
Bank of America: NVIDIA's Lowest Valuation in Seven Years, Reiterates Buy Rating with $350 Price Target
According to TechFlow Research, Bank of America reaffirmed its Buy rating for NVIDIA in a July 7 research report, with a price target of $350 versus the current $195.55, implying 79% upside. NVIDIA is currently trading at 15.7x expected 2027 P/E ratio, the lowest in seven years, representing a 30-35% discount to tech peers. BofA believes the market has overestimated risks such as HBM cost pressure and custom ASIC competition. Vera Rubin inference performance per watt is 10x higher than Blackwell, and gross margin is expected to remain at 75%. NVIDIA's sales to hyperscale customers increased 115% year-over-year, nearly twice the growth rate of cloud capex. Crowded positioning and $65 billion in ecosystem investment are risks but have been priced into the valuation.
Goldman Sachs Bullish on AI Infrastructure, June Trading Near $7 Billion, SMCI Order Backlog $39 Billion
According to TechFlow Research, Goldman Sachs' June 30 AI Project Pulse Monthly Report shows that 7 major transactions tracked in June totaled nearly $7 billion. Argentum AI signed a $4.1 billion contract to deploy 27,000 GB300 GPUs for a leading AI company, supported by a 300MW Poland data center, going online in phases in 2026; India's Yotta Sovereign Cloud procured $2 billion worth of 20,736 B300s and 5,120 B200s, subsequently expanding to six Southeast Asian countries. Crypto mining farm AiOnX acquired 77% equity of Genesis Digital Assets for $500 million, converting 1.3GW of power from 15 mining farms to AI computing power. CoreWeave and Dell built the world's first fully validated Vera Rubin NVL72 rack, with 72 Rubin GPUs plus 36 Vera CPUs; NVDA confirmed mass production in the second half of 2026. SMCI raised $7 billion to address approximately $39 billion in backlog orders, covering more than 20 clients, with funds used to lock in upstream components in advance. Goldman Sachs simultaneously raised its global server market size forecast.
Microsoft Expands AI Partnership with Mistral, Signs Multi-Billion Dollar European AI Infrastructure Agreement
Odaily, July 21 - Microsoft and French AI startup Mistral AI announced an expansion of their strategic partnership on July 21, signing a multi-billion dollar agreement centered on European AI infrastructure to enhance AI computing capabilities in the region. Under the agreement, Microsoft will leverage Mistral's expanded European GPU infrastructure to support its cloud computing and AI services. This infrastructure will be based on thousands of Nvidia Vera Rubin GPUs.In terms of products, the Mistral Medium 3.5 and OCR 4 models are now available on the Microsoft Foundry platform, and Mistral Medium 3.5 has also been integrated into Microsoft Copilot Studio for agent applications, document processing workflows, and industry-customized workflows. Additionally, the two parties will expand AI deployment options through Azure and Azure Local, supporting cloud, cloud-connected, and fully offline environments, targeting industries with high data compliance requirements such as finance, healthcare, and manufacturing.
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)
Foxconn Q2 Net Profit Up 35% YoY, AI Server Revenue Share Surpasses 50% for First Time
According to The Straits Times, Taiwan Foxconn (Hon Hai Precision Industry) announced its Q2 financial report on August 12, with net profit increasing 35% year-on-year to NT$59.97 billion (approximately SGD 2.38 billion), exceeding analysts' expectations of NT$58.8 billion. Specifically, revenue from cloud and networking products (including AI servers) accounted for 51%, breaking through 50% for the first time, while smart consumer electronics (including iPhone) accounted for 29%. Rotating CEO Shang-Yi Chiang stated that AI-related business will continue to grow in Q3, and coupled with the peak season effect of ICT products, significant quarter-on-quarter growth is expected. Nvidia's new generation Vera Rubin AI server racks will enter preparation for mass production in Q3 and start shipping from Q4, expected to become Foxconn's core product next year. In addition, Foxconn expects capital expenditure in 2026 to increase 30% year-on-year, and will continue to expand AI server and electric vehicle manufacturing capacity in India, Mexico, and Texas, USA. The company's stock price has risen 17% year-to-date, closing up 2.7% for the day.
Optimistic about HBM4 pricing in 2027, Bernstein expects HBM price to rise to $53 per GB
Odaily, Citrini analyst jukan posted on platform X, revealing that Bernstein is very optimistic about the pricing of HBM4 in 2027, anticipating that the price will rise to $53 per GB when Vera Rubin achieves volume shipments.
Musk: SpaceX Will Dominate the AI Computing Power Race Thanks to Rocket Scientists' Engineering Advantage
According to Fortune magazine, Musk stated on the earnings call following SpaceX's initial public listing that SpaceX, leveraging the engineering advantages of rocket scientists, will dominate the AI computing power competition, comparing it to "the New York Yankees versus a minor league team." SpaceX's Q2 AI revenue reached $2.6 billion, a quarter-over-quarter increase of 213%, with capital expenditures reaching $18.4 billion. The company has signed $14.1 billion in cloud service contracts, with clients including Anthropic and Google, and announced it will fully adopt the NVIDIA Vera Rubin architecture, targeting 20 gigawatts of computing power deployment by the end of 2027.
SpaceX to Exclusively Adopt NVIDIA AI Computing Architecture, Plans Space-Based Data Centers
Odaily News: At the company's first earnings call, SpaceX CEO Elon Musk stated that SpaceX's AI services will run "exclusively" on NVIDIA systems in the future.Musk noted that the company considers NVIDIA's Vera Rubin architecture to be the "best AI computing architecture." SpaceX expects its computing capacity to exceed 2 gigawatts (GW) by the end of this year, with plans to increase it to nearly 10 gigawatts by the end of next year.Additionally, SpaceX plans to deploy NVIDIA Vera Rubin NVL72 rack-scale systems both on the ground and in space, using them for the "Starmind" satellite project, with related satellites expected to begin launching next year.
NVIDIA Releases Vera Storage Benchmark: CRC Check Performance Improved 3.67x, Multiple Storage Tasks Outperform x86
Odaily News NVIDIA has released Vera CPU storage benchmark results, showing that its NVIDIA BlueField-4 STX storage processor can significantly improve encryption, compression, integrity verification, and data recovery performance in AI-native storage, helping enterprises address the growing data processing demands of the Agentic AI era.NVIDIA stated that as AI agents perform knowledge retrieval, call tools, manage long-term memory, and handle larger context windows, storage systems are no longer just simple data read/write components, but have become a critical link in the AI inference pipeline. Large volumes of data need to be encrypted, compressed, verified, and recovered along the storage path, tasks typically handled by the CPU, which can become a performance bottleneck for AI infrastructure. Benchmark results show that the BlueField-4 STX storage processor equipped with the Vera CPU delivers performance improvements over a comparison x86 CPU across multiple storage tasks: AES-128 encryption performance improved by up to 1.43xAES-128 decryption performance improved by up to 1.29xReed-Solomon data recovery performance improved by up to 3.26xCRC32C integrity check performance improved by up to 3.67xCompression performance improved by up to 3.29xDecompression performance improved by up to 1.72xCompression + encryption multi-stage storage pipeline performance improved by up to 3.21xNVIDIA said that while traditional CPUs typically require adding cores, power consumption, and cooling costs to scale storage processing capabilities, AI-native storage needs to maintain low latency under higher concurrency and larger data volumes. By improving per-unit CPU resource processing capability, Vera helps storage systems support more AI agent workloads without significantly increasing infrastructure costs.
Bank of America: Agent CPU Standards Battle, NVIDIA "Faster" vs AMD "More"
According to TechFlow Research, Bank of America's July 22 report pointed out that NVIDIA and AMD are engaged in a battle for definition in the Agent CPU field. NVIDIA unveiled the Vera CPU architecture last week, featuring 88 custom ARM cores and 1.2TB/s memory bandwidth, arguing that single-core performance determines agent response speed, emphasizing "faster". AMD responded at Thursday's AI Day, stating that its EPYC 9965 rack-level throughput in a 100kW deployment is already 2.4 times that of Vera, arguing that concurrent throughput determines production-grade AI efficiency, emphasizing "more". BofA believes the underlying thread of the x86 vs ARM battle is equally critical; the decades of optimization barriers of x86 in the enterprise software stack cannot be replaced overnight. BofA expects AMD will redefine metrics rather than compete on benchmarks; the real winner is the one that can get the industry to accept its framework. BofA maintains Buy ratings for NVIDIA and AMD, with price targets of $350 and $620 respectively, believing this is not a zero-sum game, both can win, just via different paths.
Microsoft Expands AI Partnership with Mistral, Signs Multi-Billion Dollar European AI Infrastructure Agreement
Odaily, July 21 - Microsoft and French AI startup Mistral AI announced an expansion of their strategic partnership on July 21, signing a multi-billion dollar agreement centered on European AI infrastructure to enhance AI computing capabilities in the region. Under the agreement, Microsoft will leverage Mistral's expanded European GPU infrastructure to support its cloud computing and AI services. This infrastructure will be based on thousands of Nvidia Vera Rubin GPUs.In terms of products, the Mistral Medium 3.5 and OCR 4 models are now available on the Microsoft Foundry platform, and Mistral Medium 3.5 has also been integrated into Microsoft Copilot Studio for agent applications, document processing workflows, and industry-customized workflows. Additionally, the two parties will expand AI deployment options through Azure and Azure Local, supporting cloud, cloud-connected, and fully offline environments, targeting industries with high data compliance requirements such as finance, healthcare, and manufacturing.
AMD Launches AI Rack System Helios, with Microsoft, Meta and Other Giants Joining the Deployment Camp
AMD has officially launched its first rack-scale AI system for artificial intelligence, Helios. This is seen as AMD's key product to rival Nvidia's Grace Blackwell and Vera Rubin AI systems. It has been adopted by enterprise customers including Microsoft, Meta, OpenAI, and Oracle, as AMD seeks to mount a more direct challenge to Nvidia in the AI infrastructure market.Microsoft announced it will deploy the AMD Helios system in its Azure data centers, becoming the latest customer to adopt the platform. AMD stated that Helios is expected to begin shipping to customers later this year and will be used to support frontier AI model inference, Azure AI services, and enterprise-level AI applications. Data from market research firm Futurum Group shows that Nvidia currently holds over 95% of the data center GPU market share, while AMD holds approximately 4.5%. Analysts believe that if Helios deployment goes smoothly, AMD has the potential to capture 20%-25% of the market share in the future, corresponding to a potential market space worth hundreds of billions of dollars. (CNBC)
Related news
NVIDIA Partners with Leading EDA Vendors to Drive Efficiency in AI-Driven Semiconductor Design
According to Nikkei CrossTech, NVIDIA is actively promoting solutions that leverage its AI processors and software to enhance semiconductor design efficiency, and is engaged in deep collaboration with several mainstream Electronic Design Automation (EDA) vendors. Through the integration of their respective products and technologies, the two parties have already delivered multiple efficiency-improvement use cases, with the application of AI agents drawing particular attention. Additionally, NVIDIA demonstrated an efficiency optimization pathway for EDA workflows based on its latest MPU product "Vera" (rather than relying solely on GPUs), further expanding its presence in the semiconductor design sector.
Foxconn Q2 Net Profit Up 35% YoY, AI Server Revenue Share Surpasses 50% for First Time
According to The Straits Times, Taiwan Foxconn (Hon Hai Precision Industry) announced its Q2 financial report on August 12, with net profit increasing 35% year-on-year to NT$59.97 billion (approximately SGD 2.38 billion), exceeding analysts' expectations of NT$58.8 billion. Specifically, revenue from cloud and networking products (including AI servers) accounted for 51%, breaking through 50% for the first time, while smart consumer electronics (including iPhone) accounted for 29%. Rotating CEO Shang-Yi Chiang stated that AI-related business will continue to grow in Q3, and coupled with the peak season effect of ICT products, significant quarter-on-quarter growth is expected. Nvidia's new generation Vera Rubin AI server racks will enter preparation for mass production in Q3 and start shipping from Q4, expected to become Foxconn's core product next year. In addition, Foxconn expects capital expenditure in 2026 to increase 30% year-on-year, and will continue to expand AI server and electric vehicle manufacturing capacity in India, Mexico, and Texas, USA. The company's stock price has risen 17% year-to-date, closing up 2.7% for the day.
GF Hong Kong: AI Server PCB TAM Doubles in One Year to $29 Billion, Upstream Material Bottlenecks Persist Throughout 2027
According to TechFlow Research, GF Securities (Hong Kong)'s August 10 research report estimates that the AI server PCB TAM will expand from approximately USD 13 billion in 2026 to USD 29 billion in 2027. NVIDIA Vera Rubin shipments are expected to be approximately 10,000 racks before the end of the year and approximately 80,000 racks in 2027, with single GPU PCB value rising from USD 400 for GB200 to USD 750; Google TPU v8t/v8i will ramp up volume in 4Q26, with an expected 120,000 racks in 2027, and PCB value per unit ranging from USD 800 to 1000. The upstream E-glass supply gap is approximately 15%, and the HVLP4 copper foil gap is at least 400 tons/month; equipment orders are already booked until 2028, and capacity bottlenecks are expected to persist until the end of 2027. GF Hong Kong initiates coverage on Kin Chu Development, giving a Buy rating with a target price of NT$480, bullish on its HVLP4 copper foil scarcity premium. Meanwhile, it maintains Buy ratings for Zhen Ding (target price NT$729), Elite Material (NT$6538), and Kingboard Laminates (HK$60.8). Zhen Ding benefits from NVIDIA's market share increase and the ABF substrate cycle, Elite Material dominates the AI CCL market, and Kingboard benefits from the E-glass and FR-4 price hike cycle. GF believes that companies with scarce capacity and technical barriers will continue to gain pricing power.
Musk: SpaceX Will Dominate the AI Computing Power Race Thanks to Rocket Scientists' Engineering Advantage
According to Fortune magazine, Musk stated on the earnings call following SpaceX's initial public listing that SpaceX, leveraging the engineering advantages of rocket scientists, will dominate the AI computing power competition, comparing it to "the New York Yankees versus a minor league team." SpaceX's Q2 AI revenue reached $2.6 billion, a quarter-over-quarter increase of 213%, with capital expenditures reaching $18.4 billion. The company has signed $14.1 billion in cloud service contracts, with clients including Anthropic and Google, and announced it will fully adopt the NVIDIA Vera Rubin architecture, targeting 20 gigawatts of computing power deployment by the end of 2027.
SpaceX to Exclusively Adopt NVIDIA AI Computing Architecture, Plans Space-Based Data Centers
Odaily News: At the company's first earnings call, SpaceX CEO Elon Musk stated that SpaceX's AI services will run "exclusively" on NVIDIA systems in the future.Musk noted that the company considers NVIDIA's Vera Rubin architecture to be the "best AI computing architecture." SpaceX expects its computing capacity to exceed 2 gigawatts (GW) by the end of this year, with plans to increase it to nearly 10 gigawatts by the end of next year.Additionally, SpaceX plans to deploy NVIDIA Vera Rubin NVL72 rack-scale systems both on the ground and in space, using them for the "Starmind" satellite project, with related satellites expected to begin launching next year.
NVIDIA Releases Vera Storage Benchmark: CRC Check Performance Improved 3.67x, Multiple Storage Tasks Outperform x86
Odaily News NVIDIA has released Vera CPU storage benchmark results, showing that its NVIDIA BlueField-4 STX storage processor can significantly improve encryption, compression, integrity verification, and data recovery performance in AI-native storage, helping enterprises address the growing data processing demands of the Agentic AI era.NVIDIA stated that as AI agents perform knowledge retrieval, call tools, manage long-term memory, and handle larger context windows, storage systems are no longer just simple data read/write components, but have become a critical link in the AI inference pipeline. Large volumes of data need to be encrypted, compressed, verified, and recovered along the storage path, tasks typically handled by the CPU, which can become a performance bottleneck for AI infrastructure. Benchmark results show that the BlueField-4 STX storage processor equipped with the Vera CPU delivers performance improvements over a comparison x86 CPU across multiple storage tasks: AES-128 encryption performance improved by up to 1.43xAES-128 decryption performance improved by up to 1.29xReed-Solomon data recovery performance improved by up to 3.26xCRC32C integrity check performance improved by up to 3.67xCompression performance improved by up to 3.29xDecompression performance improved by up to 1.72xCompression + encryption multi-stage storage pipeline performance improved by up to 3.21xNVIDIA said that while traditional CPUs typically require adding cores, power consumption, and cooling costs to scale storage processing capabilities, AI-native storage needs to maintain low latency under higher concurrency and larger data volumes. By improving per-unit CPU resource processing capability, Vera helps storage systems support more AI agent workloads without significantly increasing infrastructure costs.