News linked to both this project and an event.
Bitcoin News posted on X platform, stating that Simon Males has launched Krackpot, a browser-based game that allows anyone to use GPU to attempt cracking the private key of Bitcoin Puzzle 71. The prize is 6 BTC. The probability of cracking depends on the number of GPUs: a single gaming GPU would take approximately 830,000 years, 1 million GPUs would take 1 year, and simultaneous participation from all Steam players would take 1 week. The game runs locally in the browser via WebGPU. If a user finds the private key, 6 BTC will be sent to their designated Bitcoin address, with the remainder going to the developer.
According to TechFlow Research, the frontier AI data tracking report released by Bank of America Securities on August 17 shows that Anthropic leads comprehensively in three major AI benchmarks, with Claude Opus 5 ranking first in the Intelligence Index, Agent Index, and Coding Agent Index, GPT-5.6 Sol following closely behind, Meta MuseSpark 1.2 entering the top ten, and Google Gemini 3.6 Flash ranking outside the top ten. In terms of usage, DeepSeek leads with approximately 30% of the Vercel platform token share, Anthropic accounts for 25% and OpenAI accounts for 16%; but in terms of payment amount, Anthropic leads far ahead with 65%, while OpenAI accounts for only 11%. In terms of pricing, the AI Token Price Index decreased 9% month-over-month in August to $2.21, but still increased 87% year-over-year; GPU rental rates remain strong, with H100 increasing 33% year-over-year to $2.77/hour, DRAM increasing 483% year-over-year, and NAND increasing 432% year-over-year. The research report judges that AI infrastructure demand remains healthy, with open-source model usage growing but payment share still highly concentrated on top closed-source models. BofA believes that the Meta "Watermelon" and Google Gemini 4 releases, token pricing trends and GPU rental trends are
According to Cryptopolitan, former Bitcoin mining company IREN announced the completion of the first milestone of its $9.7 billion, five-year contract with Microsoft — the official delivery of the Horizon 1 facility located in Childress, Texas. The facility is 50 megawatts in scale, equipped with Nvidia GB300 systems and direct chip-level liquid cooling technology, and has received the Exemplar Cloud certification awarded by Nvidia. Under the contract terms, Microsoft will complete GPU acceptance verification within five days; upon approval, IREN can commence monthly billing, with expected annualized revenue of approximately $1.94 billion after all four Horizon facilities go online. IREN plans to complete the deployment of all four phases totaling 200 megawatts by 2026, expand AI cloud computing power to 1.2 gigawatts by 2027, simultaneously exit the Bitcoin mining business, and target a full-year AI cloud revenue run rate exceeding $4 billion.
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 - AMD has announced "Day 0" support for Qwen3.8 27B, the latest-generation model from Alibaba's Tongyi Qianwen (Qwen) series, enabling developers to run this large-scale open-source AI model locally on AMD hardware on the very day of its release.AMD stated that Qwen3.8 27B is a 27B-parameter intensive model suited for local AI development, continuing the Qwen series' optimization focus on code generation, practical work tasks, scientific research, and long-context AI applications. The model can run via the open-source inference framework llama.cpp on AI PCs and workstations powered by AMD processors, or on a single AMD 32GB graphics card, while also supporting AMD hardware platforms with over 24GB of variable graphics memory (VGM) or VRAM capacity.AMD's preliminary tests show that Qwen3.8 27B delivers strong local inference performance on AMD platforms: up to 24.5 tokens/second on the AMD Ryzen AI Max+ 395 processor, and up to 51.8 tokens/second on a single Radeon AI PRO R9700 GPU. The tests were conducted on Windows systems using the llama.cpp Vulkan backend with multi-token prediction (MTP) optimization enabled. AMD noted that actual performance still has room for improvement as further software and model optimizations are rolled out.
SanDisk announced the latest progress on High Bandwidth Flash (HBF) at an investor meeting. The first product has completed tape-out, with plans to provide initial samples in 2027 and mass production in 2028. HBF combines HBM-level read bandwidth, achieving 8-16 times the capacity. According to SanDisk's internal data, when running large AI models, 4 GPUs can achieve the token output of 8 GPUs in an HBM system. The first version of HBF supports up to 512GB capacity, offering three bandwidth tiers, covering 0.4TB/s to 3.0TB/s.
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)
NVIDIA CEO Jensen Huang stated that A100 GPU clusters will remain available from 2020 to 2029, emphasizing that the core value of the NVIDIA computing platform lies not only in the chips themselves, but more in CUDA providing a unified platform for developers and NVIDIA engineers, enabling Ampere, Hopper, and Blackwell architectures to continue receiving upgrades throughout their lifecycle.
According to TechFlow Research, a Bernstein research report on August 10 pointed out that Microsoft's current lease liabilities increased 33% year-over-year to $114.4 billion, future lease obligations surged 255% year-over-year to $329.1 billion, and fiscal 2027 procurement commitments reached $169 billion. The report believes the market has misread these figures: existing leases are spread over a 13-year period, with rent expiring in 2027 at approximately $13.2 billion; the $329.1 billion future leases will commence sequentially between 2027 and 2033, assuming an average lease term of 12 to 15 years, the annualized rent growth rate is approximately 12% to 16%, roughly in line with Microsoft's commercial cloud revenue historical growth rate; among the $169 billion procurement commitments, GPU servers account for only a portion and are concentrated within 12 months, with only $25 billion for fiscal 2028 and beyond. The report maintains Microsoft's "Outperform" rating, with the price target raised from $647 to $660 and the P/E multiple raised from 26.5x to 27x. Bernstein believes that data center designs support hybrid deployment of CPU and GPU, and if AI demand slows down, capacity can be shifted to traditional cloud business. AI accounts for approximately 16% to 17% of Microsoft's commercial cloud revenue, but since AI gross margin is approximately 27%, far lower than traditional cloud business, AI accounts for approximately 40% of commercial cloud cost of sales. Management stated at the Q4 earnings call that current demand still far exceeds available supply.
Odaily News: Oracle and quantum computing company Quantinuum have announced a multi-year partnership to connect Quantinuum's Helios quantum computer to Oracle Cloud Infrastructure (OCI). Customers will soon be able to combine quantum computing with resources such as GPUs and high-performance computing through OCI's quantum services.In addition, Oracle plans to preview its quantum computing services in the coming months and will integrate Quantinuum's development tool stack with open-source hybrid programming frameworks for developing and testing quantum-classical hybrid applications. The two parties did not disclose the collaboration amount or specific deployment dates. (Reuters)
Odaily News: Bitcoin News posted on X platform that a new technical analysis released by @KLoaec shows that some vulnerable COLDCARD Mk3 wallets may be generated from only approximately 4.5 million random number generator starting states, which can be searched in about 3 seconds on a single RTX 4090 GPU. Even accounting for additional uncertainty in each wallet's generation method, an attacker could complete the search in about 50 minutes on a single high-end GPU. More critically, this vulnerability could cause different devices to generate identical mnemonic phrases. Assuming 30,000 Mk3 devices, the analysis estimates that approximately 120 pairs of devices could generate the same random number stream. This collision estimate is theoretical but indicates that duplicate mnemonic generation across different devices may be possible.
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)
Nvidia is increasing its investment in open-source artificial intelligence models, aiming to further drive demand for its hardware ecosystem by building the world's leading open-source AI model series, Nemotron.According to sources familiar with the matter, Nvidia is developing a new generation of AI models called Nemotron 4, with the largest model targeting performance levels comparable to the world's top open-source AI models. The project is driven by Nvidia's internal team, as the company hopes to attract more developers and enterprises to use its GPUs, AI software platforms, and infrastructure through high-performance open-source models.In recent years, Nvidia has gradually expanded from purely providing AI computing hardware to building an AI software and model ecosystem. By releasing open-source models, the company can help developers build applications based on Nvidia's CUDA, GPU clusters, and related tools, thereby further strengthening hardware demand.However, Nvidia's self-developed AI models may also create new competitive dynamics. On one hand, open-source models can expand the influence of Nvidia's AI ecosystem; on the other hand, as its model capabilities improve, they may compete with AI models developed by some of its customers and partners.Analysts believe that as competition in the AI industry extends from "computing power competition" to "model, software, and ecosystem competition," Nvidia is attempting to replicate its ecosystem advantages in the GPU space, transforming its hardware leadership into broader influence across the AI platform landscape. (The Information)
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: After forking at block height 961632, the BIP-110 minority chain has only mined two blocks, 961632 and 961633, and has since stalled due to inheriting Bitcoin's difficulty of approximately 127.48 trillion while receiving extremely low SHA-256d hash power. Pre-fork miner support was approximately 0% to 2.6%. BIP-110 supporters are discussing replacing the proof-of-work algorithm to break free from reliance on Bitcoin miners and SHA-256d hash power. Luke Dashjr has proposed selecting the final algorithm from a shortlist of candidates through a deterministic random process, with options under discussion including RandomX, KT256, BLAKE3, Scrypt, as well as CPU and GPU mining. No PoW changes have been enabled or approved yet, no algorithm has been selected or activation height announced, and Bitcoin Knots has not committed to adjusting the PoW. Relevant experimental code has been ported to the recent Bitcoin Knots codebase, but the BIP-110 minority chain has still not resumed block production.
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)