News linked to both this project and an event.
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.
Odaily News Nvidia-backed AI cloud computing provider Lambda is raising $917 million through the leveraged loan market to procure AI chips. As artificial intelligence infrastructure construction accelerates, chip financing is emerging as a new avenue for capital investment in the AI industry.Lambda belongs to the rapidly growing camp of "neoclouds" in recent years, primarily offering GPU computing power and AI infrastructure services to enterprises and developers. This financing plan will be carried out through a GPU-backed loan based on GPU asset-related rights, designed to support the company in expanding its AI computing resources.According to reports, AI infrastructure companies are actively exploring new financing methods to meet the massive capital investments required to build large-scale computing clusters. Previously, AI cloud service provider CoreWeave completed the first chip financing transaction in the institutional leveraged loan market, providing a new financing model for the industry.As demand for generative AI continues to grow, Nvidia GPU supply has become a core resource for AI companies' expansion. By using GPU assets as a financing basis, AI cloud providers can rapidly scale up computing capacity without relying entirely on equity financing, while also bringing traditional credit markets into the wave of AI infrastructure investment. (Bloomberg)
Odaily News: SK Hynix's stock price has recently seen a pullback. On August 3, the stock fell 8.79%. Although it rebounded slightly by 0.64% and 5.77% on August 4 and 5 respectively, it plunged another 10.37% on August 6, closing at 1.495 million KRW; on August 7, it dropped a further 4.88%, closing at 1.422 million KRW.Against the backdrop of heightened market volatility, SK Group released an advertisement quoting founder Choi Jong-gun’s famous saying: "Despair and hope are two sides of the same coin; you can turn despair into hope as easily as flipping your palm," and adapted it to: "Unease and anticipation in the AI era are also two sides of the same coin; you can turn unease into anticipation," thereby conveying confidence in the long-term development of the AI industry.Securities institutions believe that short-term stock price fluctuations have not changed SK Hynix's fundamentals, and the market should focus on its HBM4 technology leadership and the earnings stability brought by long-term supply agreements (LTAs). Specifically:1. Hyundai Motor Securities expects SK Hynix's DRAM and NAND bit growth to reach 9.7% and 1.5% respectively in the third quarter. As HBM4 sales contributions expand, even with a higher proportion of LTAs, DRAM average selling prices (ASP) are still expected to rise 19.9% quarter-over-quarter. Companies such as OpenAI and Anthropic are advancing plans to build their own hyperscale AI data centers and intend to raise funds for related construction through IPOs. Even if some large tech companies adjust capital expenditures (Capex) in the future, this could be offset by demand from other AI infrastructure. Additionally, regarding competitive concerns over China's CXMT, given the U.S. continued tightening of semiconductor equipment export restrictions, as well as Micron's expansion of domestic U.S. investment, the likelihood of major companies like Apple adopting Chinese memory chips is relatively low.2. SK Securities is also bullish on SK Hynix's competitive advantages, believing that with its leading position in HBM, partnerships with major North American GPU companies, and AI-driven LTA demand, SK Hynix's market position remains solid. Currently, the HBM supply-demand fulfillment rate is below 70%, and the core value of LTAs lies in ensuring profit sustainability and earnings stability through a "mutual binding structure" between customers and suppliers. With value-reassessment initiatives such as an ADR listing progressing, along with dividend income from the sale of SPC assets related to Kioxia, the company's goal of achieving net cash of 100 trillion KRW may be reached earlier than expected. As shareholder return policies gradually become clearer, this will help the market re-evaluate the value of the LTA model and drive a further re-rating of SK Hynix. (Daum)
Odaily News: AI research startup Mirendil has entered into a multi-year partnership agreement with Google Cloud to secure large-scale computing resources in support of its "Self-Improving AI" research and development. Under the agreement, Mirendil will gain access to TPU and NVIDIA GPU computing resources provided by Google Cloud, as well as managed AI training clusters, to develop AI systems capable of continuously optimizing their own capabilities. It is reported that Mirendil is focused on advancing "Recursive Self-Improvement" AI, in which AI systems enhance their own performance through iterative refinement, self-learning, and optimization. This direction is also a research area of interest among some of the top AI laboratories today.Benham Neyshabur, co-founder and CEO of Mirendil, revealed that the total value of the agreement exceeds $100 million, roughly equivalent to half of the $1 billion valuation seed funding round the company completed at the end of June. (TechCrunch)
Odaily Odaily News: AI voice generation startup Fish Audio announced the completion of a $52 million seed funding round, led by Coreline Ventures and Capital Today, with participation from 359 Capital, Parable, Play Time, and other institutions. The company was founded by former NVIDIA researcher Shijia Liao, who initially trained the first voice generation model on a single GPU and open-sourced it out of dissatisfaction with the lack of expressiveness in AI-generated voices on the market. Over the past year, Fish Audio has launched five models, including four voice generation models and one speech-to-text model. (TechCrunch)
: AI reasoning cloud startup General Compute has obtained a $400 million loan from Upper90. This deal is the world’s first financing project to use dedicated inference chips as collateral. The company has built a proprietary AI reasoning cloud platform based on SambaNova’s self-developed ASIC chips, primarily targeting Agent-type AI computing workloads. Compared to traditional GPU clouds, it offers faster token processing speeds and lower operational latency. The hardware requires no water cooling and can be directly deployed in traditional data centers and idle cryptocurrency mining facilities.
the boom in AI infrastructure investment is cooling, and the market has begun to reassess the sustainability of spending on chips and data centers. As investors re-evaluate whether investment in AI infrastructure can be sustained, the "AI trade," which encompasses the semiconductor, memory chip, and data center industry chain, is showing signs of slowdown.Recently, AI-related chip stocks such as Micron Technology (MU) and SanDisk (SNDK) have come under pressure. Meanwhile, Samsung Electronics reported record-breaking second-quarter results, but its revenue fell short of market expectations. Its stock price still fell nearly 7%, dragging the entire AI chip sector lower.Market concerns are growing that as major cloud computing providers (Hyperscalers) may slow down their AI infrastructure investments, the current AI boom cycle, driven by GPUs, High Bandwidth Memory (HBM), and data center construction, could face a repricing. Concurrently, South Korean memory chip giant SK hynix's stock price has fallen about 25% from its all-time high ahead of its US listing, and its IPO is also attracting some funds away from existing chip stocks.Analysts point out that after SpaceX's massive IPO inflated valuations of AI-related assets, investors are reassessing the growth logic for the next phase of the AI rally. If the intensity of AI investment declines further, some capital might flow back from the AI industry chain to other risk assets, including crypto assets. (CoinDesk)
According to Reuters, AI chip startup Oxmiq announced the completion of a new $35 million funding round, led by Samsung Catalyst Fund and Fudomo, with participation from Taiwan's MediaTek and Pegatron Venture Capital, bringing the company's total funding to $60 million. Oxmiq was founded by former Intel Chief Architect Raja Koduri and is headquartered in Campbell, California. The company plans to integrate GPU, CPU, and tensor engine components into a single IP module for licensing, and develop an integrated computing architecture including Chiplets and memory, while positioning itself in the custom chip market to compete with Broadcom, Marvell, and MediaTek. Koduri stated that Oxmiq's goal is to become the "ARM of the next era." The funds will be used to complete the development of the first batch of IPs and bring them to market, while expanding the engineering team.
According to BitcoinTreasuries data, South Korean listed company K Wave Media (KWM) has sold all of its remaining 88 BTC to repay $6 million in debt. Following the sale, the company's Bitcoin holdings have dropped to zero, exiting the ranks of Bitcoin treasury companies.K Wave Media announced last year that it had secured a $1 billion Bitcoin treasury financing capacity and planned to expand its Bitcoin holdings to 10,000 BTC as soon as possible. However, in May this year, the company redirected up to $485 million of its remaining financing capacity from the Bitcoin treasury strategy to AI infrastructure construction, including data centers, GPU computing power, and related acquisitions.
Venice AI has announced the completion of a $65 million Series A funding round, led by Dragonfly, with participation from Coinbase Ventures, North Island Ventures, and others, at a valuation of $1 billion. The project primarily offers a platform that grants access to over 200 AI models while ensuring privacy.
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.