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.
JPMorgan: SpaceX Compute Target at 13 Gigawatts, Target Price Raised to $500
JPMorgan estimates that the commercial value of Vera Rubin is approximately 40% higher than that of the leading GB300 system, with compute scaling and premium monetization supporting the annual recurring revenue target. The report maintains an overweight rating and raises the price target from $240 to $500, based on a 20x multiple applied to the 2028 GAAP EPS of $24.41. Current price: $147.79.
Firmus Signs Multi-Year Data Center Agreement with OpenAI, Malaysia Computing Capacity Exceeds 900 Megawatts
According to The Straits Times, Australian AI infrastructure company Firmus announced a multi-year agreement with OpenAI to supply computing power from two data centers in Malaysia, establishing OpenAI as Firmus's anchor customer. Following the signing of the agreement, Firmus's contracted capacity across its global client portfolio has exceeded 900 megawatts. Backed by institutional investors including Nvidia, Jane Street, Blackstone, and Coatue Management, Firmus holds a recent valuation of over $10.5 billion. The company currently operates data centers in Australia and Singapore, with five additional facilities under development across the Asia-Pacific region. It plans to deploy Nvidia's next-generation Vera Rubin processors at scale in the Asia-Pacific.
Nvidia Earnings Preview: Q2 Revenue Expected to Nearly Double to $92.17 Billion, Market Focus on AI Chip Demand and Supply Chain Pressures
Odaily News Nvidia will release its fiscal 2026 second-quarter earnings after the U.S. market close. According to analyst estimates compiled by LSEG, the company's quarterly earnings per share are expected to be $2.10, with revenue projected to reach $92.17 billion.The market expects Nvidia's revenue to nearly double from $46.7 billion in the same period last year, continuing the rapid growth driven by the wave of artificial intelligence infrastructure investment. As a core supplier of AI computing power, Nvidia's GPUs are widely used to train and run advanced AI models, and the company is also involved in advancing the construction of next-generation AI data centers through financing support and other means.However, after nearly three years of significant gains, investor expectations for Nvidia have become more cautious. As of Tuesday's close, Nvidia has risen approximately 14% year-to-date, slightly outperforming the Nasdaq index. Market concerns include competitive pressure from rivals such as AMD and Google, as well as rising costs stemming from the global memory chip shortage.Currently, Nvidia is in a new product cycle, with its latest Vera Rubin AI system already being delivered to customers including Microsoft and OpenAI. Investors will focus on sales progress and supply conditions for the Rubin and Blackwell chip families, as well as the company's outlook for future AI computing power demand.Nvidia CEO Jensen Huang has previously stated that he expects the current product cycle based on the Blackwell and Vera Rubin architectures to generate cumulative sales of $1 trillion by 2027. The company will hold its earnings conference call at 5:00 PM ET. (CNBC)
Starcloud Raises $250 Million in Funding, NVIDIA Invests Approximately $25 Million
According to TechCrunch, space computing startup Starcloud announced the closing of a new $250 million funding round led by Manhattan West Ventures, with participation from Nvidia, Cisco, Benchmark, EQT, and other investors; Nvidia invested approximately $25 million. The funds will be used to expand satellite manufacturing facilities and advance the R&D of the next-generation orbital data center satellite, Starcloud-3. Starcloud stated that it is already operating an Nvidia H100 data center GPU in orbit and has completed model training based on the chip; meanwhile, it is collaborating with Nvidia to provide test data for the upcoming Vera Rubin Space-1 GPU, which is designed for space environments. CEO Philip Johnston previously stated that the company plans to explore space Bitcoin mining.
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.
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)
Nvidia Earnings Preview: Q2 Revenue Expected to Nearly Double to $92.17 Billion, Market Focus on AI Chip Demand and Supply Chain Pressures
Odaily News Nvidia will release its fiscal 2026 second-quarter earnings after the U.S. market close. According to analyst estimates compiled by LSEG, the company's quarterly earnings per share are expected to be $2.10, with revenue projected to reach $92.17 billion.The market expects Nvidia's revenue to nearly double from $46.7 billion in the same period last year, continuing the rapid growth driven by the wave of artificial intelligence infrastructure investment. As a core supplier of AI computing power, Nvidia's GPUs are widely used to train and run advanced AI models, and the company is also involved in advancing the construction of next-generation AI data centers through financing support and other means.However, after nearly three years of significant gains, investor expectations for Nvidia have become more cautious. As of Tuesday's close, Nvidia has risen approximately 14% year-to-date, slightly outperforming the Nasdaq index. Market concerns include competitive pressure from rivals such as AMD and Google, as well as rising costs stemming from the global memory chip shortage.Currently, Nvidia is in a new product cycle, with its latest Vera Rubin AI system already being delivered to customers including Microsoft and OpenAI. Investors will focus on sales progress and supply conditions for the Rubin and Blackwell chip families, as well as the company's outlook for future AI computing power demand.Nvidia CEO Jensen Huang has previously stated that he expects the current product cycle based on the Blackwell and Vera Rubin architectures to generate cumulative sales of $1 trillion by 2027. The company will hold its earnings conference call at 5:00 PM ET. (CNBC)
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.
NVIDIA and Oracle Expand Partnership, Scaling NVIDIA Vera Rubin Architecture Deployment to Multi-Gigawatt Level
Odaily Report: NVIDIA and Oracle have announced an expanded partnership, scaling the deployment of the NVIDIA Vera Rubin architecture to the multi-gigawatt level and bringing the NVIDIA Vera CPU into Oracle Cloud Infrastructure (OCI). Additionally, Oracle also announced in the statement a partnership with Cerebras, under which Oracle will use Cerebras' equipment in its AI data centers.
NVIDIA to Invest $3 Billion in Meta, Expanding Collaboration on the Muse AI Model
NVIDIA stated that it will expand its collaboration with Meta on Muse and the Muse series models, focusing on optimizing AI Agent training and inference performance. The partnership will also explore using NVIDIA OpenShell to enhance the secure deployment of AI Agents and leverage NVIDIA Sentry to monitor Agent behavior. On the infrastructure front, Meta plans to expand deployments of NVIDIA Vera Rubin and Vera CPUs, and adopt Spectrum-X Ethernet networking and BlueField-4 to improve network efficiency and throughput. Additionally, NVIDIA plans to invest $3 billion in Meta's equity offering.
NVIDIA Vera CPU Adopted by AI Cloud Startup Modal, Testing Shows AI Agent Workloads Double
According to Reuters, Nvidia has secured a CPU order from New York-based AI cloud computing startup Modal. Previously relying solely on Intel and AMD chips for its AI agent workloads, Modal plans to transition to Nvidia's Vera central processing units. The company stated that early tests show Vera can double its AI agent workload capacity compared to existing Intel and AMD hardware. Modal CEO Erik Bernhardsson said the firm will maintain a hybrid chip deployment strategy, noting that next-generation chips from Intel and AMD may narrow the performance gap. Nvidia stated that Vera is the next-generation data center CPU designed for AI factories, marking another step in expanding its business beyond GPUs. Nvidia also added that OpenAI, Anthropic, and Oracle plan to deploy Vera.
Firmus Signs Multi-Year Data Center Agreement with OpenAI, Malaysia Computing Capacity Exceeds 900 Megawatts
According to The Straits Times, Australian AI infrastructure company Firmus announced a multi-year agreement with OpenAI to supply computing power from two data centers in Malaysia, establishing OpenAI as Firmus's anchor customer. Following the signing of the agreement, Firmus's contracted capacity across its global client portfolio has exceeded 900 megawatts. Backed by institutional investors including Nvidia, Jane Street, Blackstone, and Coatue Management, Firmus holds a recent valuation of over $10.5 billion. The company currently operates data centers in Australia and Singapore, with five additional facilities under development across the Asia-Pacific region. It plans to deploy Nvidia's next-generation Vera Rubin processors at scale in the Asia-Pacific.
Nscale reaches strategic partnerships exceeding $6 billion, with potential deployment of 100,000 NVIDIA GPUs
AI computing company Nscale has announced a multi-year strategic partnership with Figure, expanding the scale to over $6 billion. The deal represents the potential to deploy up to 100,000 NVIDIA Vera Rubin platform GPUs.
Nvidia Earnings Preview: Q2 Revenue Expected to Nearly Double to $92.17 Billion, Market Focus on AI Chip Demand and Supply Chain Pressures
Odaily News Nvidia will release its fiscal 2026 second-quarter earnings after the U.S. market close. According to analyst estimates compiled by LSEG, the company's quarterly earnings per share are expected to be $2.10, with revenue projected to reach $92.17 billion.The market expects Nvidia's revenue to nearly double from $46.7 billion in the same period last year, continuing the rapid growth driven by the wave of artificial intelligence infrastructure investment. As a core supplier of AI computing power, Nvidia's GPUs are widely used to train and run advanced AI models, and the company is also involved in advancing the construction of next-generation AI data centers through financing support and other means.However, after nearly three years of significant gains, investor expectations for Nvidia have become more cautious. As of Tuesday's close, Nvidia has risen approximately 14% year-to-date, slightly outperforming the Nasdaq index. Market concerns include competitive pressure from rivals such as AMD and Google, as well as rising costs stemming from the global memory chip shortage.Currently, Nvidia is in a new product cycle, with its latest Vera Rubin AI system already being delivered to customers including Microsoft and OpenAI. Investors will focus on sales progress and supply conditions for the Rubin and Blackwell chip families, as well as the company's outlook for future AI computing power demand.Nvidia CEO Jensen Huang has previously stated that he expects the current product cycle based on the Blackwell and Vera Rubin architectures to generate cumulative sales of $1 trillion by 2027. The company will hold its earnings conference call at 5:00 PM ET. (CNBC)
Related news
NVIDIA and Oracle Expand Partnership, Scaling NVIDIA Vera Rubin Architecture Deployment to Multi-Gigawatt Level
Odaily Report: NVIDIA and Oracle have announced an expanded partnership, scaling the deployment of the NVIDIA Vera Rubin architecture to the multi-gigawatt level and bringing the NVIDIA Vera CPU into Oracle Cloud Infrastructure (OCI). Additionally, Oracle also announced in the statement a partnership with Cerebras, under which Oracle will use Cerebras' equipment in its AI data centers.
NVIDIA to Invest $3 Billion in Meta, Expanding Collaboration on the Muse AI Model
NVIDIA stated that it will expand its collaboration with Meta on Muse and the Muse series models, focusing on optimizing AI Agent training and inference performance. The partnership will also explore using NVIDIA OpenShell to enhance the secure deployment of AI Agents and leverage NVIDIA Sentry to monitor Agent behavior. On the infrastructure front, Meta plans to expand deployments of NVIDIA Vera Rubin and Vera CPUs, and adopt Spectrum-X Ethernet networking and BlueField-4 to improve network efficiency and throughput. Additionally, NVIDIA plans to invest $3 billion in Meta's equity offering.
NVIDIA Adjusts Rubin GPU Specifications, Lowering HBM and NVLink Bandwidth, Boosting Network Bandwidth
According to IT Home, a comparison between NVIDIA's October 2026 documentation and a third-party archived June document reveals that NVIDIA has reduced the HBM memory bandwidth and NVLink bandwidth of the Rubin GPU system, while increasing network bandwidth. Specifically, the HBM4 memory bandwidth of the Vera Rubin superchip was lowered from 44 TB/s to 38.5 TB/s, NVLink bandwidth from 7.2 TB/s to 6 TB/s, and scale-out network bandwidth was increased from 0.8 TB/s to 0.9 TB/s. The HGX NVL8 system saw its HBM capacity drop from 2.3 TB to 2 TB, bandwidth decrease from 176 TB/s to 130 TB/s, and NVLink Switch bandwidth reduced from 28.8 TB/s to 24 TB/s.
JPMorgan: SpaceX Compute Target at 13 Gigawatts, Target Price Raised to $500
JPMorgan estimates that the commercial value of Vera Rubin is approximately 40% higher than that of the leading GB300 system, with compute scaling and premium monetization supporting the annual recurring revenue target. The report maintains an overweight rating and raises the price target from $240 to $500, based on a 20x multiple applied to the 2028 GAAP EPS of $24.41. Current price: $147.79.
NVIDIA Launches OpenShell Reference Architecture to Strengthen AI Agent Operational Security and Hardware-Level Controls
Odaily reports: NVIDIA has launched the NVIDIA OpenShell reference architecture, designed for building, running, monitoring, and constraining AI Agents across enterprise infrastructure and edge systems, while strengthening governance, isolation, and security controls. The architecture is built on the OpenShell secure runtime and combines NVIDIA Vera Rubin, Vera CPU, and BlueField-4 DPU.Among these, Vera Rubin handles model inference, Vera CPU is used to run the Agent harness and tool calls, and BlueField-4 continuously monitors Agent behavior and enforces hardware-level policy controls through NVIDIA Sentry; when an Agent exceeds established software boundaries, Sentry can isolate and halt it within milliseconds.
NVIDIA Vera CPU Adopted by AI Cloud Startup Modal, Testing Shows AI Agent Workloads Double
According to Reuters, Nvidia has secured a CPU order from New York-based AI cloud computing startup Modal. Previously relying solely on Intel and AMD chips for its AI agent workloads, Modal plans to transition to Nvidia's Vera central processing units. The company stated that early tests show Vera can double its AI agent workload capacity compared to existing Intel and AMD hardware. Modal CEO Erik Bernhardsson said the firm will maintain a hybrid chip deployment strategy, noting that next-generation chips from Intel and AMD may narrow the performance gap. Nvidia stated that Vera is the next-generation data center CPU designed for AI factories, marking another step in expanding its business beyond GPUs. Nvidia also added that OpenAI, Anthropic, and Oracle plan to deploy Vera.