OpenAI advances $500 billion AI data center project with NVIDIA backing, positioning it as largest single infrastructure commitment in AI history.
OpenAI is nearing an agreement to anchor one of the largest AI infrastructure projects announced to date, negotiating to lease a $500 billion data center campus in southern Ohio with financial backing from Nvidia. If completed, the project would provide OpenAI access to a 10-gigawatt computing facility capable of supporting the next generation of AI models. The development underscores how AI leaders increasingly rely on unconventional financing structures combining technology companies, investors, and governments to fund hyperscale infrastructure's enormous capital requirements.
Nvidia is in discussions to provide a financial guarantee of up to $250 billion that would enable OpenAI to raise debt using the chipmaker's credit profile. The proposed backstop would cover lease obligations and construction-related debt if OpenAI were unable to meet its financial commitments. The negotiations remain ongoing and subject to change. Nvidia declined to comment publicly on the discussions.
The data center campus is being developed by SoftBank and SB Energy in partnership with the US Department of Energy on the site of a former uranium enrichment facility in Pike County, Ohio. The project is expected to receive 10 gigawatts of electrical capacity, enough to support AI infrastructure on an unprecedented scale. The US government is also playing a strategic role through its partnership with Japan, which is helping finance the project as part of a broader trade agreement tied to infrastructure investment. US Commerce Secretary Howard Lutnick must approve the final arrangement before the lease can be completed.
Although Microsoft, Google, and other technology companies have reportedly submitted proposals to use the campus, OpenAI has emerged as the leading candidate. Nvidia's willingness to provide financial support has strengthened the company's position. Construction remains in its early stages, with the first phase currently expected to be completed in 2028.
The proposed Ohio campus illustrates how the economics of AI infrastructure continue to evolve as developers pursue increasingly sophisticated financing models to secure computing capacity. Rather than relying solely on equity investment, AI companies are combining strategic investments, cloud agreements, hardware purchases, and debt guarantees to fund projects that would otherwise exceed their financial capacity. OpenAI has previously followed this approach through its relationship with Microsoft, which invested more than $13 billion between 2019 and 2023. Much of that capital ultimately flowed back to Microsoft through purchases of cloud computing services needed to train and operate OpenAI's models.
Similar arrangements have become increasingly common across the industry. Anthropic recently announced a $5 billion investment from AMD while committing to purchase tens of billions of dollars in hardware from the semiconductor company. Google and Amazon have also combined investments with cloud infrastructure agreements to support Anthropic's expansion.
Beyond the proposed debt guarantee, Nvidia is separately evaluating financing approximately $350 billion worth of AI chips for the Ohio facility. Nvidia previously invested $30 billion in OpenAI as part of the startup's record funding round completed earlier this year. The company had earlier considered investing as much as $100 billion in OpenAI under a separate strategic agreement that ultimately did not proceed.
OpenAI continues expanding its infrastructure strategy as competition intensifies across the AI sector. The company is investing aggressively to secure the computing resources required for future models while facing increasing competition from Anthropic, Google, Amazon, and Meta, all of which are committing hundreds of billions of dollars to AI infrastructure. OpenAI confidentially filed for an initial public offering in June and is now valued at nearly $1 trillion in private markets, reflecting investor expectations that the company will maintain its leadership position despite growing competition.
While investors continue pouring capital into AI infrastructure, analysts caution that projects of this magnitude introduce new financial risks alongside significant growth opportunities. Jeremy Kress, Associate Professor of Business Law at the University of Michigan, notes that a financial backstop reduces lender risk by providing stable capital capable of absorbing potential losses. However, the arrangement also creates greater financial interdependence between Nvidia and OpenAI because both companies' success becomes increasingly linked.
Gil Luria, Head of Technology Research at D.A. Davidson, says a $500 billion investment represents an unprecedented commitment, raising questions about long-term returns and the sustainability of current spending levels across the industry. Despite these concerns, recent earnings from major investors suggest AI infrastructure is already generating meaningful returns. Alphabet recently attributed a significant portion of its quarterly profit growth to gains from investments in AI-related companies, while Blackstone identified data centers, energy infrastructure, and AI companies as major contributors to its latest financial results.