Nvidia Reportedly in Talks to Back $250B OpenAI Ohio Data Center Deal

Key Takeaways

The Wall Street Journal reported over the weekend of July 26-27, 2026, that Nvidia is in talks to guarantee roughly $250 billion in lease, construction, and debt financing for a data center OpenAI wants to occupy in southern Ohio. Reuters relayed the report the following business day, with a wire timestamped July 27, 2026, at 8:39 a.m. GMT+9, as carried by Yahoo Finance. The site in question is a planned 10-gigawatt campus in Pike County, near Piketon, built partly on land that once housed a uranium-enrichment facility.

According to the WSJ report, SB Energy, a subsidiary of SoftBank, is developing the campus, and OpenAI would be the tenant leasing it. The reported $250 billion figure covers only the lease and the debt and construction financing behind the facility itself. It explicitly does not include the cost of the Nvidia chips that would eventually fill the building. In a separate, parallel negotiation described in the same report, Nvidia is also said to be discussing financing of up to $350 billion to help OpenAI purchase those chips. Combined, the total cost of the project, including compute hardware, is expected to exceed $500 billion.

None of this has been confirmed by the parties involved. Nvidia, OpenAI, and the U.S. Commerce Department all declined to comment or did not respond to requests for comment cited in the WSJ story, and Reuters said it could not independently verify the reporting. The arrangement remains in active talks, meaning terms could shift substantially or the deal could fail to materialize at all before anything is signed.

Deal Structure, As Reported

The financing structure described by the Journal splits into two separate negotiating tracks, both still unconfirmed.

If accurate, the $250 billion figure would not represent Nvidia writing a check. A guarantee of this kind typically means Nvidia would be backstopping debt or lease obligations, standing behind the financing so that lenders and SB Energy are willing to commit capital, rather than funding construction directly. TechTimes, in its coverage of the same WSJ report, framed the need for this kind of guarantee as a signal that conventional debt markets were unwilling to underwrite a commitment of this size on OpenAI's credit alone. That is TechTimes' interpretation of the reported structure, not a fact confirmed by any of the companies involved, but it is consistent with why a third party, Nvidia, would need to step in as guarantor at all.

The first phase, at roughly 800 megawatts, is reportedly targeted for completion in 2028. Reaching the full 10-gigawatt buildout would take considerably longer and was described as a longer-term goal rather than a near-term milestone.

What This Would Mean for OpenAI's Infrastructure Strategy

OpenAI today runs most of its compute on infrastructure it rents from Microsoft, Amazon, and Oracle. If the Ohio arrangement is finalized as reported, it would mark a shift toward OpenAI leasing, and eventually controlling, dedicated infrastructure built specifically for its own use, rather than purchasing capacity inside someone else's cloud. That distinction matters for a company whose compute needs have scaled far beyond what most cloud tenants require. A dedicated, purpose-built 10-gigawatt campus would give OpenAI more direct influence over the design, timeline, and eventual expansion of the site.

The power supply for the campus is also tied to broader geopolitics. The report ties electricity for the project to a recent U.S.-Japan trade arrangement, under which Japan has pledged $33 billion toward a natural gas power plant investment connected to this buildout. U.S. Commerce Secretary Howard Lutnick is reportedly involved in decisions about who gets access to that power, adding a policy dimension to what would otherwise be a private financing arrangement between two companies. None of these power-related figures were confirmed independently by Reuters either, and they should be read with the same caveats as the financing figures.

For Nvidia, guaranteeing roughly $250 billion in financing, on top of the separately discussed $350 billion in chip financing, would represent an enormous concentration of exposure to a single customer. Nvidia already sells the GPUs that would fill this facility; guaranteeing the real estate and infrastructure financing around them as well would tie the company's balance sheet risk even more closely to OpenAI's ability to pay for and use that capacity over the life of the lease.

Pros and Cons

Pros

1. Would give OpenAI a dedicated, purpose-built campus instead of only renting shared cloud capacity from Microsoft, Amazon, and Oracle.
2. A first phase of roughly 800 megawatts targeted for 2028 offers a concrete, near-term milestone rather than an open-ended commitment.
3. Ties into an existing U.S.-Japan trade arrangement that would bring additional power-generation investment to the region.
4. Would formalize Nvidia's financial stake in ensuring its largest AI customers have the physical infrastructure needed to deploy its chips at scale.

Cons

1. The entire arrangement is unconfirmed. Nvidia, OpenAI, and the Commerce Department all declined to comment, and Reuters could not independently verify the report, so terms could change materially or the deal could collapse.
2. The apparent need for Nvidia to guarantee financing, rather than the project being financed through conventional debt markets, suggests lenders were reportedly hesitant to underwrite a commitment of this size on OpenAI's credit alone.
3. Combined exposure across the reported $250 billion facility guarantee and the separately discussed $350 billion chip financing would concentrate an enormous amount of financial risk in a single customer relationship for Nvidia.
4. The full 10-gigawatt buildout has no confirmed completion date, with only the roughly 800-megawatt first phase tied to a 2028 target.

Outlook

Whether this arrangement becomes real depends on steps that have not happened yet. Nvidia, OpenAI, and SB Energy would need to finalize and disclose formal agreements, and the U.S. Commerce Department would need to clarify its role in allocating power access tied to the U.S.-Japan arrangement. Until any of the three companies confirms specific terms, the $250 billion guarantee, the $350 billion chip financing, and the $500 billion-plus total project cost should all be treated as reported figures rather than settled facts.

If the talks do result in signed agreements, the Ohio campus would become one of the largest single AI infrastructure commitments disclosed to date, and a test case for how much financial risk a chip supplier is willing to guarantee on behalf of its largest customer. It would also be a useful marker for whether OpenAI can begin shifting away from renting cloud capacity toward operating infrastructure built specifically around its own compute needs.

Conclusion

As reported, Nvidia's potential $250 billion guarantee for OpenAI's Ohio data center lease is a notable data point in how far AI infrastructure financing has scaled, but it remains exactly that: a report of talks in progress, not a confirmed deal. None of the companies involved has verified the numbers, and Reuters explicitly said it could not independently confirm the WSJ's account. Readers tracking AI infrastructure investment, Nvidia's balance sheet exposure, and OpenAI's shift toward owned or dedicated compute should watch for official confirmation before treating any of the reported dollar figures as final.

Editor's Verdict

Nvidia Reportedly in Talks to Back $250B OpenAI Ohio Data Center Deal is a workable proposition that fills a clear gap, even if it doesn't fundamentally change the landscape.

The strongest case for paying attention is would give OpenAI a dedicated, purpose-built campus instead of only renting shared cloud capacity from Microsoft, Amazon, and Oracle, which raises the bar for what readers should now expect from peers in this space. Reinforcing that, A first phase of roughly 800 megawatts targeted for 2028 offers a concrete, near-term milestone rather than an open-ended commitment adds practical value rather than just headline appeal. The broader signal worth registering is straightforward: the reported $250 billion figure covers only lease and construction/debt financing for the facility itself, not the Nvidia chips that would fill it. On the other side of the ledger, the entire arrangement is unconfirmed; Nvidia, OpenAI, and the Commerce Department all declined to comment, and Reuters could not independently verify the report, so it could change or collapse is a real constraint, not a marketing footnote, and it should factor into any serious decision. Layered on top of that, the apparent need for a Nvidia guarantee, rather than conventional debt financing, suggests lenders were reportedly hesitant to underwrite a commitment this size on OpenAI's credit alone narrows the set of teams for whom this is an obvious yes.

For AI industry watchers, strategy teams, and decision-makers tracking platform shifts, the smart move is to track its trajectory and revisit once the rough edges are filed down. For everyone else, the safer posture is to monitor coverage and revisit once the use cases that matter to your team are demonstrated in the wild.