News linked to both this project and an event.
Runware stated that the manufacturing time for a single module will be reduced from three weeks to one day, with installation and commissioning completed within 48 hours after delivery to the customer site. Customers can either rent computing capacity or provide their own GPUs, paying monthly module and operational fees while power and network costs are billed separately. The company said it has secured $1 billion in letter-of-intent commitments since launching external sales, covering more than 20 megawatts of capacity.
Odaily reports: Bitcoin mining company IREN has announced the completion of a $363 million financing facility arranged by Wingspire Equipment Finance, secured by AI computing equipment that is already operational and generating revenue, to refinance recently purchased GPU servers and networking equipment. The facility was provided by six lenders, with Eldridge Capital Management and Silver Point Capital making major funding commitments. The financing is primarily secured by the relevant equipment and supported by multi-year customer contracts, with specific interest rates and terms not yet disclosed.This refinancing will help IREN recover capital already invested in operational infrastructure for further expansion. IREN is transitioning from Bitcoin mining to AI cloud services. Its AI cloud business revenue for the fiscal year ending June 30, 2026, reached $128.8 million, up from $16.4 million in the previous fiscal year; Bitcoin mining revenue still reached $578.2 million. The company reported a net loss of $702.6 million for the same period, including $638.8 million in non-cash asset impairments primarily related to retired Bitcoin mining machines. (theenergymag)
According to Investing.com, NASDAQ-listed IREN Limited (IREN) has completed a $363 million equipment financing deal with Wingspire Equipment Finance to refinance GPU servers and networking systems deployed in data centers.
According to TechCrunch, NVIDIA participated in the $14 million Series B financing round for Indian startup Simplismart, which was led by Dallas Venture Capital with participation from Accel, Shastra VC, and Micromax. The transaction values the four-year-old company at approximately $100 million, including the new investment. Simplismart states that its software sits between AI models and compute infrastructure, automatically adjusting model deployment and management to optimize response time, request throughput, and compute utilization, enabling customers to better leverage their existing GPU resources. The company noted that its software helped AI video generation platform InVideo reduce GPU service costs by 56%. Simplismart CEO Amritanshu Jain told TechCrunch that the company’s annualized revenue run rate grew 14 times over the past six months to reach an eight-figure amount. This figure is based on recent customer usage rather than contractual recurring revenue, and excludes revenue passed through to infrastructure providers. Although the company serves more customers in India, the United States accounts for more than half of its total revenue.
Odaily reports: Investment firm Seawolf Capital says it is shorting cloud computing company CoreWeave. The firm was founded by three traders known for the book and film "The Big Short," and co-founder Vincent Daniel said the short position began with an analysis of CoreWeave's business model.Seawolf Capital points out that CoreWeave rents out AI compute powered by high-end GPUs, a model similar to businesses that purchase specific assets and then lease them out. The firm believes the economic lifespan of GPUs may fall short of oil drilling equipment, aircraft, or shipping equipment, and that competing chip compute supply is rapidly increasing.Vincent Daniel said CoreWeave needs to continuously invest large amounts of capital to purchase high-priced AI chips. Based on its assessment of the company's 2027 free cash flow gap and balance sheet leverage, the company may need to raise tens of billions of dollars in new funding on favorable terms. Seawolf Capital says its short thesis is focused on capital availability and cost, not a bearish view on the overall AI trade. (Business Insider)
In his article "The Trifecta," Arthur Hayes proposes establishing a compute trading market for AI agents through Flop Network, using the FLOP token as a payment medium, and developing forwards, futures, and perpetual contracts based on spot compute prices. Hayes states that the market currently lacks a unified global benchmark for compute pricing, and existing rental price indices for GPUs, CPUs, and TPUs, along with AI model token pricing data, have limitations. Flop Network plans to calculate compute prices based on the latency, computational workload, and transaction fees of inference tasks, and will form a reference benchmark through an open market.
decentralized cloud computing network Akash Network has published an article announcing the selection of Solana as its blockchain migration target. Akash provides decentralized GPU and AI computing power rental services and previously operated an independent blockchain based on Cosmos SDK. In October 2025, Akash announced plans to deprecate its existing independent chain and transition to a shared security architecture, with both the Solana and Ethereum ecosystems under consideration at the time.
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.
Odaily News: LayerZero Labs, in collaboration with the a16z Crypto research team, Carnegie Mellon University, and Imperial College London, has released new research findings on Aerie, aimed at improving the aggregation efficiency of post-quantum cryptographic signatures.According to the introduction, Aerie is built upon the previously launched lattice-based polynomial commitment scheme Akita. On a MacBook Pro equipped with an Apple M4 Max chip, using 16 CPU cores without GPU acceleration, it can aggregate 32,768 Falcon-512 signatures in 0.65 seconds, with peak memory usage of approximately 2.1 GiB.LayerZero stated that compared to the previous Orthus scheme, Aerie achieves approximately 1.5x faster proof generation, 38x faster verification, and approximately 1.7x smaller proof size. Additionally, Aerie supports aggregation of ML-DSA signatures standardized by the National Institute of Standards and Technology (NIST), with specific performance data to be released later.This research aims to provide a technical pathway for blockchain to achieve low-latency, post-quantum secure consensus without requiring specialized hardware.
According to CNBC, Microsoft officially released its third-generation in-house AI accelerator chip, the Maia 300, on October 12, announcing plans to use the Maia series as the primary architecture for running AI models to gradually reduce reliance on NVIDIA GPUs. The Maia 300 is slated for production in 2027, with each data center rack capable of hosting 96 chips (doubling over the previous generation), increasing AI token processing volume per rack by seven times and improving token processing efficiency per megawatt by 40% compared to GPUs. Microsoft aims to deploy multi-gigawatt-scale Maia chip clusters, with Microsoft 365 Copilot expected to be the first to benefit from the performance improvements. Analysts at Evercore ISI estimate that by Q1 2027, Maia chips will account for approximately 10% of Microsoft’s AI chip spending. Notably, Maia accelerators are currently reserved exclusively for internal use and are not available for external leasing; NVIDIA and AMD will continue to participate in Microsoft's model training operations.
Starknet has published an introduction to its Quantum-Safe Bitcoin (QSB) scheme, stating that StarkWare researchers have verified a quantum-safe locking mechanism on the Bitcoin mainnet that requires no soft fork, no new opcodes, and no changes to consensus rules. The first QSB output was spent on August 26, 2026, in Bitcoin mainnet block 964,199, with the associated GPU computation cost reduced from approximately $320 to about $50. QSB builds its locking mechanism through hash computation, but each transaction still requires substantial computation, and moving assets into the scheme still requires a traditional transaction that carries quantum risk. The transaction does not comply with Bitcoin Core's default relay rules, and there is currently no accompanying wallet, address format, or recovery process. StarkWare stated that QSB is an emergency research solution, and that the long-term solution still requires the introduction of post-quantum signature mechanisms via a soft fork. Starknet's full quantum resistance also depends on the progress of Ethereum's underlying upgrades.
According to the official announcement, Huobi HTX will launch spot and grid trading for POD/USDT on October 4 at 21:00 (UTC+8). POD deposits will open on October 4 at 18:00, and withdrawals will open on October 5 at 21:00. Dolphin is a decentralized AI inference network that aggregates idle consumer-grade GPU computing power to provide low-cost inference services for AI applications. It utilizes cryptographic signatures and verification mechanisms to ensure nodes execute designated models, and guarantees service quality through validator nodes, staking, and random routing.
据 Upbit 公告，Upbit 将上线 Dolphin（POD），支持 KRW、BTC 和 USDT 三个交易市场，预计于北京时间今日 15:00 开放交易。POD 仅支持通过 Base 网络充值和提现，充提服务将在公告发布后 2 小时内开放。 Dolphin 是一个 AI DePIN 项目，通过整合全球闲置 GPU 资源分布式处理 AI 推理任务，并提供 Web Chat、Telegram Bot 等产品。POD 代币主要用于网络质押及 Bonding。
According to PR Newswire, USD.AI, a stablecoin protocol facilitating AI lending, has announced a $128.9 million asset-backed GPU financing deal for an undisclosed borrower, marking the largest single loan to date on the platform. The funds will be used to deploy 32 Nvidia GB200 NVL72 systems in British Columbia, Canada. The operator is a publicly listed GPU cloud provider, and the equipment is secured under a multi-year agreement with an investment-grade counterparty. This financing surpasses the $98.1 million GPU financing project announced by USD.AI in June 2026.
Odaily — The financing will be used to support an undisclosed borrower in deploying 32 NVIDIA GB200 NVL72 systems in British Columbia, Canada. USD.AI is an on-chain lending protocol.
Global-leading digital asset exchange CoinW has launched perpetual contracts for the popular Meme token AINVDA, supporting up to 25x leverage. AINVDA is an animal-themed token focused on the convergence of artificial intelligence, NVIDIA, and on-chain culture. Featuring an Artificial Inu dog as its mascot, the project’s core narrative revolves around the growing demand for AI computing power, GPUs, and NVIDIA-related infrastructure. Risk Warning: Meme tokens are highly volatile, and contract trading may result in the loss of principal. Please participate rationally and bear all risks independently. CoinW has no affiliation whatsoever with any publicly traded companies mentioned herein. This service may not be available in certain jurisdictions.
The Zhipu GLM team has disclosed its first engineering implementation of recursive self-improvement. An Infra Agent driven by GLM-5.3 completed the design, debugging, and optimization of the GLM-5.3-Flash inference infrastructure. The practice was executed on a domestic 100,000-GPU cluster, which the team describes as the first recursive self-improvement practice for large models in China.
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.
According to Reuters, Mexican police discovered a clandestine cryptocurrency mining operation in the mountainous regions of Puebla state, seizing 300 GPUs, 80 medium-voltage power terminals, and eight satellite dishes. Four similar operations have been uncovered in the area since early last year. Authorities are investigating whether the site illicitly siphoned electricity from a nearby hydroelectric plant. Security analysts noted that the technical expertise and funding required for the facility point to the involvement of well-capitalized criminal syndicates. A Chainalysis Latin America expert stated that regional drug trafficking organizations are increasingly utilizing cryptocurrency transfers and mining operations for money laundering. Data shows that globally, crypto addresses associated with criminal activity received approximately $154 billion in 2025, more than double the $59 billion recorded in the previous year.