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HIVE Executive Chairman Frank Holmes stated that the company's cluster of 504 NVIDIA B200 GPUs at Bell Canada's Manitoba AI fabric generates approximately $2.90 per GPU per hour in revenue; by comparison, HIVE's Bitcoin mining equipment generates approximately $0.12 per hour. HIVE's total revenue for fiscal year 2026 reached $298 million, up 158% year-over-year; digital currency revenue from Bitcoin mining grew 164%. During the same period, average hash rate stood at 22.2 EH/s, up 290% year-over-year, accounting for approximately 3% of the Bitcoin network's total hash rate, and the company mined 2,885 BTC. HIVE's BUZZ HPC division, which houses its AI and high-performance computing business, generated revenue of $19.5 million, up 94% from $10 million in the prior fiscal year. The company also signed GPU cloud agreements worth approximately $220 million with Bell and AI company Cohere, and raised $75 million through a note issuance to fund AI infrastructure expansion. HIVE is building a 320-megawatt AI data center in the Greater Toronto Area, with plans to eventually house more than 100,000 GPUs. The company stated that if the facility becomes fully operational in the second half of 2027, it could generate approximately $360 million in annualized recurring revenue.
According to TechFlow Research, Morgan Stanley released a research report on July 27, quantifying for the first time the Incremental Return on Invested Capital (ROIC) of Generative AI investments. The report constructed three estimation frameworks: the ROIC for hyperscale cloud service providers' GPU leasing business is approximately 31%, the ROIC for proprietary infrastructure model API business is approximately 46%, and the ROIC for third-party compute API business is approximately 25%. Under base case assumptions, a single 1 gigawatt (GW) data center is configured with approximately 410,000 NVIDIA GB300 GPUs, with a utilization rate of 75% and an hourly leasing price of $8.5. The combined capital expenditure of the three major cloud giants is expected to exceed $1.4 trillion. Morgan Stanley maintains an Overweight rating on Microsoft, Amazon, Meta, and Google. The report points out that as AI moves from the training phase to the inference phase, demand for GPU compute power will continue to grow. Providers with self-built compute infrastructure will achieve considerable profits by leveraging their pricing power in an ecosystem where compute is scarce. If Morgan Stanley's calculations hold true, the hundreds of billions of dollars in AI capital expenditure will shift from being perceived as "costs" to "growth assets".
据韩联社报道，韩国国家 AI 计算中心将于 8月 3 日在全南光州海南市溔라시도企业城市举行开工典礼，正式启动建设。该项目由三星 SDS 联合体（成员包括三星 SDS、NAVER Cloud、三星物产、Kakao、三星电子、KT 等）承建，总投资 2.4 万亿韩元，规划用地面积约 4.9 万平方米。中心计划 2028 年前完成 1.5 万张 GPU 部署，2030 年前进一步扩展至 5 万张，供电规模最终将达 80MW。全南光州特别市预计该项目将带动 6.4 万亿韩元经济效益及 1.95 万个就业岗位。
Axe Compute Inc. (Nasdaq: AGPU) today announced a new five-year contract with a customer valued at over $1.5 billion to deploy a large-scale dedicated AI infrastructure cluster in the United States based on the NVIDIA Blackwell architecture. Secured through Axe Compute's Build program, the contract will provide over 9,200 NVIDIA Blackwell B300 GPUs to construct a dedicated cluster designed, deployed, owned, and operated by Axe Compute.Combined with previously announced Build agreements, this new contract brings the total value of contracts signed by Axe Compute in 2026 to over $3 billion. Axe Compute expects to receive over $534 million in customer prepayments related to this agreement and previously announced contracts within the next 30 days. These payments are expected to cover most of the associated GPU and infrastructure capital expenditures.The Axe Build program is expected to start generating monthly revenue this quarter, with additional clusters becoming operational in the fourth quarter of 2026. It is anticipated that this agreement, along with previously announced contracts, will bring the annualized run rate to over $696 million after deployment is complete, nearly double the $385 million run rate the company reported earlier this month.It is reported that Axe Compute Inc. is an artificial intelligence infrastructure platform based on a new cloud architecture.
: Julian Schrittwieser, a technical staff member at Anthropic, recently posted on social media, joking about the shift in attitude some tech giants have shown towards "open source" in recent years. He expressed anticipation for Nvidia and Microsoft to further open up their core technologies, stating: "It's great to see Jensen Huang become a supporter of open source. Looking forward to the open-source release of CUDA and GPU drivers. Also looking forward to Satya Nadella supporting open source, hoping to see Windows and Microsoft Office open-sourced in the future."Julian Schrittwieser also responded to external speculations that he opposes open weight models, indicating that this interpretation is inaccurate. He believes that open models can actually play an important role in many scenarios. However, Schrittwieser pointed out that what is interesting is that some companies, which have long been very cautious or even opposed to open source in the past, are now rapidly shifting towards supporting open ecosystems.In recent years, with the intensification of competition in artificial intelligence, open-source models, open weights, and developer ecosystems have become critical areas of competition in the tech industry. Companies including Nvidia and Microsoft have continuously emphasized their support for open ecosystems. However, the definition of "open" remains controversial within the industry—some companies open up model interfaces, toolchains, or ecosystems, while their core commercial assets remain closed source.Julian Schrittwieser's remarks have also sparked discussion, focusing on whether the "selective open sourcing" promoted by tech giants represents genuine openness or a new ecological competitive strategy.
Axe Compute (NASDAQ: AGPU) announced that the company has signed new customer contracts totaling over $1.3 billion in the United States and Europe, exceeding the full-year 2026 signing target of $1 billion ahead of schedule. The relevant contracts were secured through the Axe Compute Build program, under which the company will design, deploy, hold, and operate dedicated AI infrastructure for customers, who can independently select GPU types, deployment regions, and infrastructure configurations.
: Bitcoin mining company Bitdeer Technologies Group mined 990 BTC in June, representing a 7.5% increase from 921 BTC in May and a 388% surge compared to 203 BTC in the same period last year. As of the end of June, its proprietary mining hashrate reached 73 EH/s, up from 70.2 EH/s in May and 16.5 EH/s in the same period last year. Bitdeer's proprietary mining machine count increased by 12,000 units to 243,000 units in June, while operating 56,000 self-owned mining machines under joint mining arrangements at third-party data centers. The related hashrate increased by 59% month-over-month to 15.9 EH/s. The company held 150 BTC at the end of June, down from 171 BTC at the end of May. Bitdeer stated that its AI Cloud annualized revenue run rate increased from $69 million in May to approximately $76 million, with GPU utilization rising from 90% to 95% and externally subscribed GPUs increasing from 3,305 units to 3,517 units. This run rate is calculated by annualizing the daily revenue from contractual GPU orders still active at the end of the month and does not represent recognized annual revenue or revenue projections. Bitdeer has completed customer delivery for a five-year GPU cloud contract, with the deployment including two NVIDIA GB300 NVL72 clusters. The company has also signed a 10-year lease for a data center in Johor Bahru, Malaysia, providing 21.7 megawatts of information technology capacity. Scheduled for delivery in the first quarter of 2027, the facility will support 128 NVIDIA GB300 NVL72 systems.
Odaily, July 21 - Microsoft and French AI startup Mistral AI announced an expansion of their strategic partnership on July 21, signing a multi-billion dollar agreement centered on European AI infrastructure to enhance AI computing capabilities in the region. Under the agreement, Microsoft will leverage Mistral's expanded European GPU infrastructure to support its cloud computing and AI services. This infrastructure will be based on thousands of Nvidia Vera Rubin GPUs.In terms of products, the Mistral Medium 3.5 and OCR 4 models are now available on the Microsoft Foundry platform, and Mistral Medium 3.5 has also been integrated into Microsoft Copilot Studio for agent applications, document processing workflows, and industry-customized workflows. Additionally, the two parties will expand AI deployment options through Azure and Azure Local, supporting cloud, cloud-connected, and fully offline environments, targeting industries with high data compliance requirements such as finance, healthcare, and manufacturing.
Nasdaq-listed Bitcoin mining company Bitdeer released its unaudited production and operations update for June 2026. The company mined 990 Bitcoins in June, a 388% increase year-over-year; self-mining hash rate reached 73 EH/s, with total managed hash rate at 86.1 EH/s and 243,000 self-owned mining machines. Its Sealminer manufacturing facility in Nevada has broken ground, with completion expected by the end of 2026.On the AI cloud business front, monthly ARR rose to $76 million, with GPU utilization at 95%, and delivery of the NVIDIA GB300 NVL72 cluster has been completed. Bitdeer's total global controllable power capacity has reached 3.02 GW, with multiple crypto data centers simultaneously advancing plans to transition into AI computing centers. (Globenewswire)
AMD has officially launched its first rack-scale AI system for artificial intelligence, Helios. This is seen as AMD's key product to rival Nvidia's Grace Blackwell and Vera Rubin AI systems. It has been adopted by enterprise customers including Microsoft, Meta, OpenAI, and Oracle, as AMD seeks to mount a more direct challenge to Nvidia in the AI infrastructure market.Microsoft announced it will deploy the AMD Helios system in its Azure data centers, becoming the latest customer to adopt the platform. AMD stated that Helios is expected to begin shipping to customers later this year and will be used to support frontier AI model inference, Azure AI services, and enterprise-level AI applications. Data from market research firm Futurum Group shows that Nvidia currently holds over 95% of the data center GPU market share, while AMD holds approximately 4.5%. Analysts believe that if Helios deployment goes smoothly, AMD has the potential to capture 20%-25% of the market share in the future, corresponding to a potential market space worth hundreds of billions of dollars. (CNBC)
Kimi posted on platform X, stating that the market response to K3 has far exceeded expectations since its launch, with user demand in the past 48 hours approaching the upper limit of existing GPU computing capacity. To ensure the user experience for existing subscribers, new subscription services have been temporarily suspended. Current subscribers will not be affected, and the company is working to expand computing resources as quickly as possible, gradually resuming new user subscriptions in batches.Additionally, the future membership system will be split into two more targeted products: "Kimi Membership," designed for Kimi's web interface, app, and office scenarios, and "Kimi Code Membership," focused on programming workflows, to achieve more precise resource allocation and improve service stability.
: The South Korean government plans to invest approximately 4 trillion won next year to procure 10,000 of NVIDIA's latest Vera Rubin GPUs, aiming to support the expansion of public-facing services such as "AI for All" and the construction of a national-level AI infrastructure. The Ministry of Science and ICT plans to extend the "Project for Strengthening the Foundation for Utilizing AI Computing Resources" and configure all GPUs introduced next year as Vera Rubin. This project entrusts private companies, such as cloud service providers operating data centers, with the entire process of GPU procurement, construction, and service provision, funded by the government budget. Over the past two years, through this project and other means, the South Korean government has secured over 30,000 GPUs, providing them to both the public and private sectors. Compared to the previous generation Blackwell architecture, the Vera Rubin offers up to a 6-fold improvement in training performance and over an 8-fold improvement in inference performance. A source from the Ministry of Science and ICT stated that the specific GPU procurement plan and budget size have not yet been finalized. Industry insiders mentioned that current data center space is insufficient, making it challenging to secure large-scale new resources by next year. The government is currently evaluating various alternative plans.
analyst KawzInvests stated that Moonshot AI's upcoming Kimi K3 could become a significant event in the open-source AI space, and the infrastructure demand behind it may drive growth for AI cloud service platforms. Kimi K3 has approximately 2.8 trillion parameters, making it one of the ultra-large-scale open-source models. According to Moonshot's official evaluation, the model's performance is only slightly behind frontier models like Claude Fable 5 and GPT 5.6 Sol, and the full model weights are expected to be released on July 27.KawzInvests pointed out that a model of this scale cannot run on an ordinary laptop or even a single server; users need a computing cluster composed of a large number of GPUs to complete model loading and inference. When top-tier open-source models are made available for free, the biggest beneficiaries might not be ordinary users, but rather platforms that offer model hosting and inference services. For example, $DOCN (DigitalOcean) already supports serverless inference services for models like Kimi K2.6. Developers do not need to deploy hardware; they can call the model via API and pay per Token. Additionally, the platform hosts over 70 models and covers GPU leasing, model fine-tuning, and AI Agent development tools.As more large-scale open-source models are released, developers' demand for low-barrier AI infrastructure will continue to increase. Model hosting, inference services, and GPU cloud platforms may become key beneficiaries in the open-source AI wave.
: 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.
According to The Block, Bernstein stated that before the compliant computing power futures planned by CME Group and Intercontinental Exchange are approved, AI computing power derivatives adopting crypto market mechanisms have already launched. Currently, Architect's offshore trading platform AX has launched GPU perpetual futures, while Kalshi has listed GPU rental price event contracts regulated by the U.S. Commodity Futures Trading Commission.
According to monitoring by the BlockFlow KOL opinion aggregation platform, NVIDIA (NVDA) is collaborating with Japan's Ministry of Economy, Trade and Industry (METI) and Noetra to build a 140MW AI factory, utilizing Vera CPU and Rubin GPU to support trillion-parameter model training and robot ecosystem development, with multiple KOLs optimistic about the prospects of this collaboration.
Apple is shifting its reliance to NVIDIA GPUs to support its artificial intelligence operations, as the company's self-developed M2 Ultra chip has failed to meet expectations when running advanced AI workloads.Sources indicate that Apple previously attempted to use its own servers to run Google's Gemini model to power AI capabilities for the new Siri. However, the performance of its chips fell short of requirements, ultimately forcing the company to turn to NVIDIA GPUs deployed on Google Cloud. Additionally, the development of Apple's next-generation AI server chip, "Baltra," has been delayed, while the M7 Ultra chip, which is expected to rival the performance of NVIDIA's Blackwell architecture, is unlikely to be launched before 2029 at the earliest. (Coin Bureau)
According to Reuters, Meta plans to mass-produce its self-developed data center AI chip "Iris" starting from September, as part of its fourth-generation Meta Training and Inference Accelerators project, to enhance the AI capabilities of platforms such as Facebook and Instagram and reduce reliance on external GPUs such as those from Nvidia and AMD. Internal memos show that Iris completed testing in just 6 weeks with no major defects; Meta plans to deploy 7 gigawatts of computing power this year and increase it to 14 gigawatts by 2027, with its AI infrastructure spending in 2024 potentially reaching up to $145 billion. To secure expansion, the company has signed long-term supply agreements with Samsung Electronics, Sandisk, and Sumitomo Electric to cope with "price increases" and shortages of memory and AI chips.
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.
Odaily Bitcoin mining company and data center Hive Digital Technologies has announced it will raise $100 million through the issuance of zero-coupon exchangeable senior notes due in 2031, aiming to further expand its computing infrastructure. Additionally, the company has signed a non-binding letter of intent (LOI) with a Swedish sovereign technology firm possessing an investment-grade credit rating, intending to lease approximately 30MW of computing capacity at its data center for a term of up to 10 years. Under the agreement, Hive will deploy approximately 25MW of IT computing capacity and plans to utilize up to 10,000 Nvidia GB300 GPUs. However, the LOI currently remains subject to further negotiations and the signing of a final definitive agreement. (DataCenterDynamics)