News linked to both this project and an event.
According to TechCrunch, AI infrastructure company Cornelis announced the completion of a $205 million funding round led by IAG Capital Partners. The company also launched Active Compute Fabric networking technology, designed to improve communication efficiency between AI chips and reduce GPU idle time caused by waiting for data transmission.
According to Business Insider, Seattle-based artificial intelligence company Nuance has announced the completion of a $50 million Series A funding round, led by Lightspeed Venture Partners, with participation from Accel, NVIDIA's NVentures, South Park Commons, and Define Ventures. Founded last year by three former Apple researchers, Nuance aims to develop multimodal AI models with enhanced emotional understanding capabilities. The company completed a $10 million seed round led by Accel in July of last year.
Reuters reported that Anthropic is seeking to raise $100 billion, aiming to set an IPO record, with a valuation potentially reaching $2 trillion. Nvidia is considering participating in a $10 billion investment.
Anthropic is in talks with NVIDIA to bring it on as an anchor investor for its IPO, aiming to raise up to $100 billion and potentially reaching a valuation of $2 trillion. NVIDIA is expected to invest up to $10 billion, with the plans still under discussion.
According to Forbes, Andreessen Horowitz and Accel co-led Cognition, an AI coding agent company, in a Series E funding round of more than $2 billion, pushing its latest valuation to $48 billion, a substantial increase from the $26 billion valuation four months prior. Over 30 other institutions, including Founders Fund, General Catalyst, Avenir, and NVIDIA, participated in the round. Operating revenue for Cognition’s AI coding agent product Devin has grown from $492 million in May to nearly $900 million, with The Information forecasting that its annualized revenue could reach $4 billion to $5 billion by year-end.
According to Reuters, AI data center optical interconnect company iPronics announced the completion of a $125 million Series B financing round, co-led by Maverick Silicon and Light Street Capital, with participation from NVIDIA, Triatomic Capital, Bosch Ventures, Catalight Capital, the European Innovation Council Fund, and others, bringing the company's total funding to $177 million. iPronics primarily provides rack-mounted optical switching equipment for AI infrastructure. Through its programmable optical layer, it enables AI clusters to dynamically adjust network connections in real time according to training and inference workloads. The new capital will be used to scale operations and accelerate commercial deployment.
According to Chaohiang Research, JPMorgan's September 2 investor meeting minutes for NVIDIA indicate that NVIDIA is "comfortable" with its guidance for 70% year-over-year growth in FY28, and this guidance is supply-constrained rather than demand-constrained; with sufficient supply, the business could grow more than double. Inference has become the largest and expanding segment of the data center business. Eighteen months ago, inference and training each accounted for roughly half, but currently inference exceeds training and will continue to rise. Advanced wafers and memory are the two major supply bottlenecks, and NVIDIA maintains close cooperation with TSMC and the three major memory suppliers. The customer base continues to broaden, with OpenAI and Anthropic currently accounting for approximately 20% of end-user demand, which may approach 25% by FY28; new cloud providers now account for over 50% of AI computing infrastructure. Open-source and closed-source models will coexist, and gross margins for model developers are improving. NVIDIA supports long-term demand through revenue sharing, the PORTS-Pike campus, and a $500 billion private capital financing platform. Morgan Stanley maintains an Overweight rating with a price target of $320, based on approximately 20x the expected CY2026 EPS of $15.87.
According to Bloomberg, a fund under Blue Owl Capital led a $2.4 billion debt financing to support cloud computing provider Iren’s purchase of Nvidia Blackwell Ultra GPUs for its Canadian data center campus. The financing consists of a $1.2 billion senior secured term loan and an equal amount of senior secured notes, with a structure that allows Iren to procure the equipment in phases over a set period. Pacific Investment Management Company is also one of the guarantors for the financing. Documents show the facility carries a 9% interest rate and has a tenor of two and a half years.
据 BeInCrypto 报道，“大空头”投资人 Michael Burry 在英伟达公布财报前增持其空头头寸，同时买入于今年 12 月到期、行权价位于 200 美元中高区间的英伟达看涨期权作为对冲。Michael Burry 表示，该期权并非押注股价上涨，其成本可由现有空头及看跌期权仓位覆盖。 Michael Burry 认为，英伟达的低市盈率可能掩盖了其短期垄断地位带来的估值风险，其自身测算的理论价值显著低于当前市价；同时，他担忧公司将持续扩大资本开支，可能在 AI 投资周期见顶后面临盈利下修压力。除英伟达外，Michael Burry 还新建或加码做空甲骨文、Palantir、Nebius 和 Caterpillar，其股票空头仓位已占投资组合逾 21%（不含看跌期权）。
According to Tide Research, Goldman Sachs' August 26 quick commentary highlighted that NVIDIA reported Q2 revenue of $96.2 billion, beating Goldman's forecast by 3.4% and market consensus by 4.2%; data center revenue reached $89.0 billion, outpacing estimates by 2.9% and consensus by 3.6%; EPS came in at $2.22, surpassing expectations by 4.9% and consensus by 6.1%; and gross margin was 75.0%, in line with projections. The midpoint of Q3 revenue guidance stands at $108.0 billion, reflecting 14% QoQ growth and approximately 90% YoY growth, exceeding the market consensus of $105.4 billion but slightly falling short of Goldman's estimate of $110.7 billion. Gross margin guidance is set at 74.0%, slightly below the anticipated 74.9%. Goldman Sachs retains a Buy rating with a $285 price target, offering 34% upside from current levels, though it expects the stock to trade in a range post-earnings, as market optimism has already been fully absorbed following hyperscalers' capex upgrades. The Q3 gross margin guidance misses market expectations by roughly 90 basis points, mainly due to elevated initial ramp-up costs for the new Blackwell architecture GPUs. Goldman asserts that three key discussion points from the earnings call—the upside potential for the $1 trillion cumulative data center revenue target, the structure of the $500 billion financing facility, and the gross margin trajectory in H2 2026 and 2027—are more critical than the earnings figures themselves. Robust guidance underscores the resilience of AI spending, making digital semiconductors such as Broadcom, AMD, Marvell, ARM, and Intel the most...
According to Chaoxiang Research, a Morgan Stanley report dated August 24 indicates that the total disclosed off-balance-sheet commitments from hyperscalers, NVIDIA, and Broadcom have surpassed $3.1 trillion. Lease commitments total $1.1 trillion and procurement commitments $1.7 trillion, while the combined on-balance-sheet debt and lease liabilities of hyperscalers reach $770 billion. Amazon and Google's free cash flow turned negative in Q2 2026, with Meta expected to follow suit next quarter. Financing instruments are restructuring the AI compute capital structure across six dimensions: off-balance-sheet lease and procurement commitments form the first financing layer; the share of debt issuance rises from 2% in 2025 to 19% in 2026; Google frees up $110 billion by reducing share buybacks and issuing equity; Oracle records $4.6 billion in customer advance payments in Q2; and Broadcom and NVIDIA launch chip-leasing SPVs to support unrated AI labs. Morgan Stanley notes that when the financing structure itself becomes a core variable in the AI supply chain, tracking changes in off-balance-sheet commitments and accounting judgments is nearing the importance of tracking chip shipments themselves.
According to CNBC, program host Jim Cramer stated that Nvidia's position in the AI ecosystem has become "crucial," and its earnings performance will, to some extent, serve as a key metric for the market to evaluate the broader AI trade. Despite market concerns regarding risks such as intensifying competition, headwinds in data center projects, tight memory chip supply, and the sustainability of AI funding, Cramer maintains an optimistic outlook on Nvidia.
NVIDIA has announced a strategic investment in AI chip startup Lancium, and the two parties will deepen their collaboration in the field of high-performance computing.
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.
"White-Haired Stock God" Serenity stated that Unitree (688836) surged significantly after its listing, providing an important valuation benchmark for humanoid robot companies in the public market. As a reference, Agility Robotics, backed by NVIDIA, Amazon, and others, plans to go public via Churchill Capital Corp XI (CCXI), with a pre-money valuation of approximately $2.5 billion. Tesla's market cap has already exceeded $1 trillion, but the Optimus humanoid robot business is only a part of this sprawling company.Serenity noted that Unitree's performance demonstrates that public market demand for "pure-play humanoid robot targets" is far higher than many had previously anticipated.
Odaily News - Digital infrastructure company HIVE Digital Technologies' high-performance computing division, BUZZ High Performance Computing, has signed a five-year AI cloud services contract worth approximately $350 million with an undisclosed investment-grade enterprise client. The contract is expected to generate approximately $70 million in additional annual revenue, bringing BUZZ HPC's annualized revenue to approximately $180 million. BUZZ HPC will deploy 2,016 NVIDIA Blackwell Ultra GPUs, utilizing the GB300 NVL72 system, NVIDIA Quantum-X800 InfiniBand networking, and VAST Data storage. The cluster is expected to become operational later this year at Bell's AI Fabric facility in Merritt, British Columbia, Canada, which runs on renewable hydroelectric power and closed-loop liquid cooling technology. HIVE estimates the project's capital expenditure at approximately $185 million, which will be funded through previously announced financing and new equipment debt. The company expects daily revenue of approximately $500,000 from its HPC and AI business once the cluster is fully operational, and plans to achieve $200 million in annualized GPU cloud services revenue by year-end. The company holds approximately 400 megawatts of capacity in Canada, which can support over 120,000 GPUs over the next two years. (Bitcoin.com News)
Odaily News AI chip startup Groq has completed a $350 million funding round, but the company's valuation has dropped to $3.5 billion—about half of what it was nearly a year ago. The round was led by Dallas-based investment firm Disruptive, with NVIDIA also participating. Founded in 2016, Groq was once considered one of the key competitors to NVIDIA in the AI chip space, focusing on developing specialized hardware for AI computing. The company is now transitioning into an AI data center operator, with a primary focus on serving AI model inference needs. (Bloomberg)
According to TechFlow Research, a Bank of America research report on August 10 pointed out that NVIDIA signed a memorandum of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to mobilize over $500 billion in third-party capital through an independent platform. Previously, NVIDIA invested approximately $70 billion in equity in ecosystem partners such as OpenAI and Anthropic, accounting for only 15% of the expected free cash flow of $470 billion from 2026 to 2027, without affecting the commitment to return 50% of free cash flow to shareholders. Bank of America believes the financing structure shifts the capital burden from NVIDIA to the consortium. GPU computing power can be transferred across operators, and CUDA extends the service life, with the asset quality itself resisting depreciation. The $500 billion fund pool allows non-investment grade buyers to acquire GPUs at preferential rates, transforming AI computing power acquisition from capital-intensive purchases to financial leasing, supporting the $1.7 trillion AI system TAM by 2030. Bank of America maintains a Buy rating with a target price of $350, corresponding to 26 times the expected earnings per share in 2027. The upcoming earnings conference call is the next important catalyst.
NVIDIA announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish an independent financing platform. The platform aims to mobilize over $500 billion in third-party capital over the long term to support AI infrastructure development.
According to River AI's announcement, River AI, founded by xAI co-founder Igor Babuschkin, has completed a $1.1 billion financing round led by General Catalyst and AMP, with strategic investment from NVIDIA and AMD. Other investors include Y Combinator and Temasek.