Kingsoft Cloud accelerates GPU computing power construction: Xiaomi's 10 billion yuan budget is finalized, and Alibaba signs a five-year, multi-billion yuan long-term contract.
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Kingsoft Cloud accelerates GPU computing power construction, securing a 10 billion yuan budget from Xiaomi and a multi-billion yuan long-term contract from Alibaba.
According to a report by Jiemian News, as reported by Mars Finance, Kingsoft Cloud will accelerate the construction of its GPU computing power clusters in the second half of the year to meet the explosive growth in computing power demand from leading clients. Xiaomi's GPU computing power requirement for Kingsoft Cloud has been upgraded from a 10,000-GPU cluster, with the related budget increasing significantly from the initial nearly 4 billion yuan to over 10 billion yuan. In addition, Alibaba's big data model team has signed a 5-year computing power leasing contract with Kingsoft Cloud, involving more than 3,000 eight-GPU servers. Based on the contract price, the annualized revenue after full delivery will exceed 4 billion yuan. To meet the surging customer demand, Kingsoft Cloud has increased its 2026 capital expenditure plan to 15 billion yuan, with a full-year revenue target of 12.5 billion to 13.5 billion yuan. It is understood that due to tight upstream supply, Kingsoft Cloud is currently only accepting long-term contract customers for 3 to 5 years for its GPU computing power, and some orders are facing delivery delays. Due to concerns about the risk of asset impairment from stockpiling high-priced computing cards, Kingsoft Cloud is currently suspending its aggressive expansion of hardware, anticipating that computing hardware prices may reach a turning point in the third quarter of this year.
US Stock Market Pre-Market News Highlights: SoftBank plans to launch new cloud services, betting on strong demand for AI computing power; Nvidia shares revenue with AI cloud vendors to support computing power construction; US June non-farm payroll report to be released tonight.
Mars Finance reports the following key financial news from the US stock market that investors should pay attention to: 1. US stock index futures showed mixed results. Dow Jones futures rose 0.13%, S&P 500 futures rose 0.03%, and Nasdaq 100 futures fell 0.11%. 2. International oil prices continued their decline. WTI crude oil futures fell 2.01% to $67.200 per barrel; Brent crude oil futures fell 1.66% to $70.379 per barrel. 3. International spot gold and silver prices rose collectively. Spot gold rose 0.95% to $4069.12 per ounce; spot silver rose 1.44% to $59.94 per ounce. 4. Major European stock indices all rose. The UK FTSE 100 rose 0.52%, the French CAC 40 rose 0.84%, and the German DAX 30 rose 1.00%. 5. SoftBank plans to launch its new Neocloud service in the US in July, with plans to subsequently deploy 10 gigawatts of AI infrastructure to meet the strong market demand for AI computing power. 6. Nvidia has launched a new cooperation model for AI infrastructure, providing financing support to emerging GPU cloud service providers and receiving a percentage of their revenue. 7. Elon Musk visited the Optimus robot production line at the Fremont factory, which may indicate that Tesla's humanoid robot Optimus is entering a critical mass production stage. 8. OpenAI has reportedly proposed offering a 5% stake to the US government to garner support from the Trump administration for the development of the AI industry and to help alleviate regulatory and political resistance. 9. The US Bureau of Labor Statistics will release its June non-farm payroll report at 8:30 PM Beijing time. Goldman Sachs' latest forecast is that the US will add 140,000 non-farm jobs in June, higher than market expectations. (Cailian Press)
NVIDIA launches "AI Computing Partner Program": Offering computing power in exchange for revenue sharing and equity with cloud providers.
According to BlockBeats, on July 2nd, Nvidia is advancing a new project called the "AI Compute Partnership." Cloud service providers Firmus and Sharon AI, who are participating in the project, revealed that Nvidia has committed to providing these startup cloud service providers with a guarantee of computing power capacity: if the GPUs they purchase cannot be leased out, Nvidia will fund the leaseback of these idle computing power. In return, Nvidia will take a share of the startup cloud service providers' revenue (the share decreasing gradually with the contract term) or provide them with stock options. Because data center construction and GPU procurement are extremely costly, startup cloud providers with lower credit ratings often struggle to obtain financing. Nvidia's capacity swap guarantee essentially provides them with crucial credit backing, helping them secure loans. Currently, giants such as Amazon, Microsoft, SpaceX, Oracle, Meta, and Google purchase most of Nvidia's chips, but these giants are also developing their own chips. Nvidia hopes to reduce its dependence on large customers by supporting startup cloud providers. Back in September 2025, Nvidia pledged to underwrite $6.3 billion worth of unsold computing power for CoreWeave until 2032. Furthermore, Nvidia is currently in talks to provide similar financial guarantees for OpenAI's planned $500 billion mega-data center.
NVIDIA launches new AI infrastructure partnership model, sharing revenue with AI cloud providers to boost computing power.
According to ChainCatcher, NVIDIA announced a new AI infrastructure partnership model on July 1st (local time). This model, based on revenue sharing and credit support, will collaborate with AI cloud service providers to build large-scale, multi-tenant AI factories. This will help startups, model developers, enterprises, and research institutions access AI computing power more quickly, while generating continuous revenue for NVIDIA based on computing power usage. Under the plan, AI cloud providers will deploy AI factories based on NVIDIA's DSX AI Factory architecture, providing cloud computing services. Initial partners include Sharon AI and Firmus. Sharon AI plans to deploy up to 40,000 NVIDIA Grace Blackwell GB300 GPUs; Firmus will build a DSX AI factory campus in Batam, Indonesia, with a planned power capacity of 360 megawatts and a deployment of up to 170,000 NVIDIA GPUs.
Serenity: Meta is not cutting capital expenditures due to "over-construction"; current computing power remains limited.
According to Odaily Odaily, Serenity, the self-proclaimed "white-haired stock guru," posted on the X platform that information regarding Meta cutting capital expenditures due to "over-construction" is largely misleading. Meta only sells computing power when there is excess capacity, and the current situation seems to be the opposite. Hyperscalers like Google reduced their computing power allocation to Meta in March due to resource constraints caused by excessive resource consumption by internal Meta projects. Meta subsequently faced computing power constraints and was forced to sign massive contracts worth over $48 billion with Neoclouds such as CoreWeave and Nebius. Meta only sells computing power when there is excess capacity, especially since its large contracts with Neoclouds are mostly take-or-pay agreements. Serenity expects Meta's guidance for capital expenditure to increase as it builds more independent capacity.
Eight departments: Promote the integrated planning and simultaneous construction of industrial internet infrastructure and computing power infrastructure such as intelligent computing facilities and supercomputing facilities.
According to Mars Finance, eight departments, including the Ministry of Industry and Information Technology, issued the "Implementation Opinions on Promoting the High-Quality Development of the Industrial Internet." The opinions propose improving computing power support. They call for the integrated planning and simultaneous construction of industrial internet infrastructure, intelligent computing facilities, supercomputing facilities, and other computing power infrastructure. The opinions also explore the construction of an industrial computing power network system, strengthening the dynamic collaborative capabilities of multi-level computing power across edge, cloud, and endpoints to meet the computing, network, storage, and usage needs of various business entities. Furthermore, relying on an integrated computing power network, the opinions emphasize strengthening the interconnection and interoperability of computing power, enhancing the matching supply of intelligent and edge computing power, and improving the ability to process and deeply process massive heterogeneous data at high speed, deeply empowering scenarios such as large-scale model training and real-time interaction in the industrial metaverse. (Cailian Press)