Realtime AI News
OpenAI to lease massive new AI data centre in US, backed by $105B Nvidia financing
OpenAI will lease a massive new data centre in the United States for 20 years, backed by a $105 billion financing commitment from Nvidia, according to a regulatory filing published on Aug 17. Built on a former Cold War-era uranium enrichment plant site in Ohio, the project could reach 8GW of capacity and run exclusively on Nvidia chips, potentially becoming the largest single AI data centre.

ChatGPT-maker OpenAI will lease a massive new data centre in the United States for 20 years, backed by a US$105 billion financing commitment from Nvidia, according to a regulatory filing published on Aug 17.
The project will be built on the site of a former Cold War-era uranium enrichment plant in Ohio and could eventually grow to have 8GW of capacity, making it the largest single data centre for artificial intelligence. The facility will also run "exclusively" on Nvidia chips.
Energy is central to the deal: SoftBank and SB Energy, the data centre's owner and a SoftBank subsidiary, will invest more than US$4 billion into local energy infrastructure and build at least 10GW of new energy generation to power the campus, while OpenAI will commit US$40 million to "support local priorities."
Nvidia will additionally invest US$1.5 billion in SB Energy. Pre-empting criticism about so-called circular financing — which has fuelled fears of an AI bubble — Nvidia said in a blog post that "OpenAI will pay the lease" and that the deal was made with "the same discipline we apply to supply-chain management."
The filing underscores how AI developers continue to depend on supplier financing to fund enormous capital expenditures even as their revenue grows explosively.
The combination of a 20-year lease and a $105 billion financing commitment makes the Ohio campus one of the deepest forms of supplier-backed AI infrastructure to date, and it would become the largest single AI data centre if built out to 8GW.
What to watch next: the phased buildout of the 8GW campus, whether grid and power timelines match the promised 10GW of new generation, and whether this deep-financing lease model becomes the norm for AI data centre buildouts.
Why it matters
The deal deepens Nvidia's role as both chip supplier and financier to OpenAI, setting a new benchmark for scale and financing structure in AI data centre construction.
Nearby Updates
All08/18, 11:31
AI infrastructure enters the self-evolving era: Tsinghua team optimizes AI with AI to build a domestic trillion-token factory
QbitAI reports that Qingmao Intelligence, a startup founded by a Tsinghua team, is applying a self-evolving "AI optimizes AI" approach to compute infrastructure, automating operator development and chip adaptation while compressing complex operator tuning from about two weeks to roughly one hour. The company has adapted dozens of domestic chips and aims to build a trillion-token-per-day factory on domestic compute for the agent era.
08/18, 11:04
Musk moves into AI coding, Microsoft shares tumble
Elon Musk has moved into AI coding, and Microsoft shares tumbled on the news, according to reports carried by Chinese financial media. The market reaction signals that AI coding — one of the most contested battlegrounds in commercial AI — is being repriced as a heavyweight entrant arrives.
08/18, 11:01
WeCom fully upgrades CLI and MCP, mainstream AI agents can connect directly
WeCom, the enterprise messaging platform, has fully upgraded its CLI and MCP capabilities, letting mainstream AI agents connect directly, according to Sina Finance. The move opens a standardized gateway for AI agents into a high-frequency workplace channel.
08/18, 10:49
Zhipu releases new-generation foundation model, tops open-source benchmarks
Zhipu has released a new generation of its foundation model, claiming top open-source results across multiple benchmarks, according to a Sohu report. The Chinese AI lab is extending its open-weights strategy, though the model's official name and full evaluation details have yet to be disclosed.