News linked to both this project and an event.
According to TechStartups.com, Dutch AI chip startup Euclyd has completed an over €200 million (approximately $231 million) Series A funding round, co-led by Samsung, Somerset Capital Partners, EQT’s Scaleup Europe Fund, and Innovation Industries. Founded in 2024 by Bernardo Kastrup and Atul Sinha, Euclyd is headquartered in Eindhoven and focuses on AI inference, aiming to replace GPU solutions with proprietary chips and memory architectures to reduce energy consumption for AI inference and lower cost per token. Former ASML CEO Peter Wennink will serve as the company's board chairman.
According to Bloomberg, Shanghai-based Biren Technology is considering a new round of equity sales to raise approximately $1 billion to support the expansion of its artificial intelligence business. As one of the GPU chip developers heavily backed by Beijing, the company has banks in preliminary stages, currently sounding out potential investors for interest.
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.
The winning allocation numbers for Enflame Technology’s STAR Market IPO were released on the evening of September 3. At an issue price of 142.18 RMB per share, the offering is expected to raise 6.119 billion RMB. This issuance comprises 43.035173 million shares across a total of 20,657 winning numbers. Founded in March 2018, Enflame Technology is grouped with Moore Threads, MetaX, and Biren Technology under the title of the “Four Little Dragons” of domestic GPUs. The proceeds will be allocated to projects including the research, development, and commercialization of fifth- and sixth-generation AI chips.
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.
According to CoinDesk, cryptocurrency platform Bullish will provide $100 million in stablecoin debt financing to USD.AI to support loans collateralized by GPUs and other high-performance computing assets, advancing AI infrastructure development.
IREN reported Q4 fiscal 2026 revenue of $137.2 million, roughly in line with expectations; adjusted EBITDA was $19.2 million, approximately 53% lower than expected. AI cloud services revenue increased quarter-over-quarter from $33.6 million to $70.5 million, while Bitcoin mining revenue declined from $111.2 million to $66.7 million. The company currently operates approximately $1 billion in ARR, with FY2026 capacity nearly sold out, corresponding to a contractual ARR of about $4 billion, and has signed a new multi-year contract with a frontier AI lab. Recent three-year contracts generate over $20 million per IT MW in revenue, with some negotiated prices reaching approximately $25 million. IREN plans to increase cumulative IT capacity from roughly 0.3GW in FY2026 to around 0.8GW in FY2027; existing cash, committed GPU financing, and customer prepayments total approximately $14 billion.
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...
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)
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.
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 "White-Haired Stock God" Serenity shared insights on the AI industry chain on the X platform, noting that AI infrastructure demand is driving multiple sectors—including storage, advanced packaging, computing power financing, optical communications, power supply, and electronic components—into a long-term expansion cycle. The AI supply chain remains in a phase of rapid growth.In the storage sector, Serenity cited UBS forecasts indicating that traditional DRAM manufacturers (such as Micron) could see gross margins reach an unprecedented 95% by 2027, potentially even surpassing the gross margin levels of HBM products. Additionally, SanDisk's long-term agreements already cover approximately two-thirds of its 2028 production capacity, with minimum contracted revenue reaching $93 billion. Given its current market cap of around $239 billion, this suggests its future revenue targets could persist for years, making it difficult to simply classify the company as a traditional cyclical stock.On the cloud computing infrastructure front, CoreWeave has signed agreements to use Nvidia A100 GPUs through 2029. This is a positive development for emerging cloud computing companies such as Nebius and Iren, and it also weakens some investors' bearish thesis centered on the rapid depreciation of older GPUs.AI model companies are also continuing to grow at a pace that exceeds expectations. Frontier AI labs are still maintaining extremely rapid growth rates, and a slowdown in growth would actually be a cause for concern. The market projects that Anthropic's 2028 revenue could reach $190 billion to $200 billion.However, advanced packaging and semiconductor infrastructure remain core bottlenecks. The head of advanced packaging at TSMC has stated that in the coming years, the industry may face not only memory shortages but also tight supply of ABF substrates.Serenity concluded that the AI infrastructure supply chain is continuously expanding. From GPUs, storage, and advanced packaging to power, optical communications, and electronic components, every segment is showing a long-term demand growth trend. The AI supply chain is still in a high-speed development stage.
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
Odaily News: AI architecture development company Pathway has announced the completion of a $30 million seed funding round, with participation from Id4 Ventures, TQ Ventures, Red Bridge Ventures, Kadmos Capital, and WS Investment, the investment arm of Wilson Sonsini, among others. Databricks' Chief AI Scientist Jonathan Frankle has joined as an angel investor.Pathway is developing a Bio-inspired Dynamic Hierarchical architecture (BDH), a "post-Transformer" architecture designed to overcome the limitations of current Transformer models, which continue to rely on ever-increasing data, GPUs, energy, and capital expansion. Unlike traditional large models that require periodic retraining, BDH enables continuous learning and ongoing adaptation with significantly less data.The company also announced the appointment of Adam Kurzrok, former product lead for Google DeepMind's Gemini, as Chief Product Officer. He will oversee the product direction of BDH models, covering areas such as model packaging, evaluation systems, and commercial deployment. (Finsmes)
GPU market data infrastructure company Silicon Data announced the completion of the first closing of its $30.5 million Series A financing round, led by Valor Atreides AI Fund, with participation from CME Ventures, DRW, Samsung Next, VanEck, Jump Trading, Wintermute, and others. The funds will be used for GPU benchmark pricing, performance measurement, institutional and alternative data, as well as derivatives, insurance, and credit market risk infrastructure.
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.
Odaily News: GPU market data infrastructure company Silicon Data has announced the first closing of its $30.5 million Series A funding round, led by Valor Atreides AI Fund, with participation from CME Ventures, DRW, Samsung Next, VanEck, Jump Trading, Wintermute, and others. The funds will be used for GPU benchmark pricing, performance measurement, institutional and alternative data, as well as risk infrastructure for derivatives, insurance, and credit markets.Silicon Data currently collects data from approximately 100 GPU rental platforms across more than 40 countries worldwide, processing over 150,000 verified price records daily. CME Group plans to adopt Silicon Data's benchmarks as the reference price for its proposed cash-settled GPU futures contracts, pending regulatory approval.
Odaily News – River Markets, a startup building trading infrastructure for prediction markets, has announced the completion of an $8.5 million seed funding round, led by Haun Ventures with participation from Y Combinator, Coinbase Ventures, and Qube Research Technologies, among others. The new capital will primarily be used to expand the engineering team, enhance trading system speed and security, and grow institutional clientele, while also developing new tools to support large-scale capital management and cross-platform trading.In recent years, prediction markets have drawn attention from institutional investors. Data from industry platforms shows that institutional trading demand is growing rapidly. For example, prediction market platform Kalshi previously stated that its institutional trading volume increased by approximately 800% within six months. Meanwhile, market participants have begun using prediction markets for risk hedging, including building trading positions around real-world economic variables such as carbon emission allowances and GPU rental prices. (Fortune)
Odaily News Nvidia CEO Jensen Huang announced that the company has partnered with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish an independent financing platform, planning to mobilize over $500 billion in third-party capital over the long term to support AI infrastructure development.Huang stated that the AI industry is transitioning from a phase where "enterprises purchase chips and build data centers project by project" to a new stage where AI factories serve as financeable productive infrastructure. AI computing power is becoming an investable asset, characterized by long-term institutional capital support, repeatable construction, and usage by diverse customers.Nvidia noted that AI factories encompass not only GPUs but also high-speed networking, system software, AI frameworks, and the CUDA ecosystem. Built on globally widely adopted architectures, AI factories can serve different customers, cloud providers, and application scenarios, while possessing strong asset liquidity and residual value.In this collaboration, Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR will independently evaluate specific projects, including customer demand, compute utilization, cash flow, and asset value. Nvidia will provide the AI factory platform, while the financial institutions will handle long-term capital and financing capabilities.Huang indicated that in some projects, Nvidia may provide up to 25% residual value support, but this will be prudently assessed on a project-by-project basis. The mechanism is designed to supplement, not replace, the independent judgment of institutional investors.He believes that AI factories will become the "infrastructure of the intelligent era," much like how electricity, transportation, and communication infrastructure drove past industrial revolutions. Going forward, growing demand for AI computing will create a virtuous cycle where "more compute drives stronger AI, stronger AI generates more revenue, and more revenue further fuels compute demand."
According to CNBC, Nvidia has signed a memorandum of understanding with Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs, and KKR to jointly establish a financing platform for Nvidia customers, aiming to mobilize over $500 billion in third-party capital for hyperscale data center construction and Nvidia hardware procurement. Nvidia CEO Jensen Huang characterized this as the first time AI chips have become an "investable asset class," stating they possess revenue-generating capabilities, long service lives, and can be transferred across customers, while analogizing compute infrastructure to electricity and the internet. BlackRock CEO Larry Fink defined the project as the "next future of financial engineering" following the securitization of mortgages in the 1970s, and stated that more funds would be raised as soon as possible. Goldman Sachs CEO David Solomon revealed that this collaboration was initiated by Jensen Huang. Currently, some funds have already been raised; the parties will provide financing support for GPUs and data centers through institutional credit, insurance capital, and private capital, helping end users complete AI infrastructure construction without tapping their own balance sheets.