Nvidia’s $105 Billion OpenAI Guarantee, Explained

Jensen Huang spent Sunday on X insisting his company isn’t running a circular financing scheme. That’s not the kind of thing a CEO tweets when nobody’s asking the question. The Nvidia $105 billion OpenAI guarantee, disclosed the same day in a Form 8-K filed with the SEC, is the largest single financial backstop Nvidia has ever put its name on, and it lands squarely on top of a company, OpenAI, that lost $1.22 for every dollar it brought in during the first quarter of 2026.

If you cover semiconductors, AI infrastructure, or anything adjacent to hyperscaler capital spending, this filing is now required reading. Here’s what Nvidia actually signed up for, why the number dropped from an earlier $250 billion figure, and where the real risk sits.

The Deal, In Plain English

Strip away the SEC language and the structure is fairly simple. SB Energy, a subsidiary of Japan’s SoftBank Group, is building a massive data center campus in Pike County, Ohio, called the PORTS-Pike Technology Campus. SB Energy will own and operate the site. An OpenAI affiliate will lease it for 20 years starting in 2028. Nvidia becomes the exclusive AI compute provider to the campus, with limited exceptions, according to the 8-K filing on SEC EDGAR.

Nvidia’s role is what’s new here. The company has agreed to what its own filing calls “residual value guaranties,” meaning Nvidia will cover the lease and power payments if OpenAI can’t. That obligation is capped at $105 billion, cumulative, across the initial 4.25 gigawatts of IT load. It only becomes a real cash outflow if OpenAI defaults on the lease or becomes insolvent.

Separately, and this distinction matters more than most headlines have made clear, Nvidia is putting $1.5 billion of direct equity into SB Energy itself, described in Nvidia’s release as support for the company’s “evolution into a leading AI infrastructure developer,” per Axios’s reporting. That $1.5 billion is a real, near-term check. The $105 billion is a ceiling that only gets hit if things go wrong.

Why The Guarantee Shrank From $250 Billion To $105 Billion

The Wall Street Journal first reported a proposed backstop of up to $250 billion on August 14, three days before the final filing. Nvidia shares dropped as much as 5% on that report, a clear signal that investors weren’t thrilled about the size of the exposure. By the time the deal was finalized and filed with the SEC on August 17, the number had been cut by more than half, to $105 billion, and scoped down to cover only the campus’s initial phase rather than the full 10 gigawatt buildout planned for the site.

That’s the headline version. The more interesting version is that the cut may be optical rather than structural. CNBC’s same-day reporting noted that Nvidia and OpenAI are separately discussing a financing arrangement of up to $350 billion to fund the actual chip purchases for the site, a deal that has not been confirmed in any SEC filing as of this writing. If that arrangement materializes, Nvidia’s combined exposure to a single customer could end up higher than the original $250 billion figure that spooked the market in the first place. Worth flagging clearly: that $350 billion number is reported, not confirmed.

Inside The Portsmouth Site

The location has its own story. The PORTS-Pike Technology Campus sits on the site of the former Portsmouth Gaseous Diffusion Plant, a decommissioned Cold War uranium enrichment facility roughly 50 miles south of Columbus. Powering an AI campus where the government once enriched uranium for weapons programs is the kind of detail that writes its own headline.

Getting power to the site is its own undertaking. SB Energy and AEP Ohio are jointly investing at least $4.2 billion in transmission infrastructure, including new 765-kV lines and four substations, funded through the project itself rather than passed on to ratepayers. The total site is planned for 10 gigawatts of power draw, including 9.2 gigawatts of new gas-fired generation. OpenAI says the buildout will support 35,000 construction jobs through 2032 and roughly 2,500 permanent operating positions once complete.

The Deal By The Numbers

Put those last two rows next to each other and the reason Nvidia needed to guarantee anything becomes obvious. A tenant with an $852 billion valuation but no investment-grade credit rating and a widening cash burn is exactly the kind of counterparty landlords ask for backstops on.

Is This Circular Financing?

This is the question every analyst note on this deal opens with, and Jensen Huang got ahead of it himself.

“Is this circular financing? No. OpenAI will pay the lease.” Jensen Huang, Founder & CEO, Nvidia Corporation · posted to X, August 17, 2026

Huang’s argument is that Nvidia is using its balance sheet strength to secure long-lived infrastructure that OpenAI will pay to occupy, not manufacturing demand for its own chips out of thin air. He’s also floated a much bigger number: roughly $600 billion in Nvidia compute opportunity through 2030, tied to OpenAI’s broader buildout plans. That figure is a projection, not a contract, and should be read that way every time it shows up in a headline.

Not everyone is buying the framing. Michael Burry, the investor best known for his short position ahead of the 2008 crash, has been naming this exact deal in his recent writing.

“Circular financing lets capital injected into the AI ecosystem flow back to participants as revenue, while debt makes up a growing share of that capital, which puts the bubble on a clock.” Michael Burry, Scion Asset Management · Trading Post, Substack, August 13, 2026

Burry has also pointed to roughly $879 billion in hyperscaler commitments that flow back through Nvidia in one form or another, and noted that Nvidia’s credit default swap spread doubled over a two month stretch as bond traders started pricing in this kind of exposure.

Sell-side analysts land somewhere in the middle. Bernstein’s Stacy Rasgon has warned that the sheer size of Nvidia’s guarantees, larger than anything the company has previously disclosed, will “fuel these worries much hotter than what we have seen previously.” CreditSights, a fixed-income research firm, put it more bluntly: the structure is “pro-cyclical,” nearly free to Nvidia while the market is hot, and most dangerous in a downturn, when customers are defaulting at the same time hardware values are falling. Their phrase for it: Nvidia is effectively “writing a put.”

Our read: both things can be true at once. Nvidia probably does get paid the lease under most scenarios. But “most scenarios” isn’t the same as “all scenarios,” and $105 billion is a lot of money to have riding on one customer’s ability to keep growing into an $852 billion valuation it hasn’t earned yet on paper.

The Skeptics’ Case

Set aside the circular financing framing for a moment. There’s a separate, quieter argument building among finance academics and rating agencies that’s less about accusation and more about accounting.

NYU Stern’s Aswath Damodaran, whose valuation work is widely cited across Wall Street, has argued that the big AI hyperscalers have effectively become manufacturing companies dressed in software multiples.

“They now are the equivalent of manufacturing companies. And like all manufacturing companies historically, they’re now going to be judged on whether they can deliver the earnings on this investment.” Aswath Damodaran, Professor of Finance, NYU Stern School of Business · ProfG Markets, August 7, 2026

That’s a return-on-invested-capital argument, and it applies with more force to OpenAI, the tenant with the cash burn problem, than to Nvidia, the guarantor with the $81.6 billion quarterly revenue base. But it applies to Nvidia too, indirectly: every dollar committed as a guaranty is a dollar of balance sheet capacity that isn’t available for something else.

There’s also a bank-for-central-banks-level warning sitting underneath all of this. The Bank for International Settlements flagged in its June 2026 Annual Report that hyperscaler debt tied to AI buildouts is growing faster than the balance sheets carrying it, a systemic concern rather than a single-company one. And Nvidia’s own filing doesn’t exactly dodge the characterization. The 8-K classifies the guaranty under Item 2.03, “Creation of a Direct Financial Obligation or an Obligation under an Off-Balance Sheet Arrangement,” which is Nvidia’s own language, not a reporter’s spin. Rating agencies have already started treating comparable structures this way. S&P Global has said it will fold Broadcom’s similar residual-value guarantees into its adjusted debt calculations, and there’s no obvious reason Nvidia’s guaranty would be treated differently once the details land in Nvidia’s next 10-Q.

And that’s the honest gap in this story right now: Nvidia hasn’t yet disclosed the guarantee’s trigger conditions, per-lease minimums, or how the $105 billion cap gets allocated across leases. Those details are expected as exhibits to Nvidia’s Form 10-Q for the fiscal quarter ended July 26, 2026. Until that filing lands, a lot of the risk modeling here is still an estimate built on the topline number alone.

What Happens Next

Three things are worth watching over the next 12 to 18 months.

• The 10-Q exhibits. Nvidia’s next quarterly filing should finally show the trigger conditions and allocation formula behind the $105 billion cap. That’s when analysts can actually model this instead of estimating around it.
• OpenAI’s IPO window. OpenAI confidentially filed a draft S-1 in June 2026, with a possible listing as early as September at a valuation reportedly approaching $1 trillion. A weak public debut would tighten OpenAI’s ability to fund lease payments without leaning on Nvidia’s guaranty.
• The $350 billion chip financing talks. If that separate arrangement gets confirmed in a filing, it changes the real size of Nvidia’s total exposure to OpenAI, regardless of what today’s $105 billion headline suggests.

The first phase of the Ohio campus, around 800 megawatts of the initial 4.25 gigawatt commitment, is targeted to come online in 2028. Building gigawatt-scale gas power and a data center shell in two years is an aggressive timeline by utility standards. Nvidia’s “land, power, and shell” approach is designed to decouple the site build from hardware generations, which helps with obsolescence risk, but it doesn’t do anything to change the financing timeline underneath it.

Frequently Asked Questions

On August 17, 2026, Nvidia filed an SEC 8-K disclosing it will guarantee up to $105 billion in lease and power payment obligations for OpenAI’s data center in Pike County, Ohio. The guarantee covers 4.25 gigawatts of an eventual 8-gigawatt campus and pays out only if OpenAI defaults or becomes insolvent.

Nvidia CEO Jensen Huang has publicly denied it, saying OpenAI will pay the lease itself. Critics including investor Michael Burry and Bernstein analyst Stacy Rasgon argue the structure still lets Nvidia’s capital effectively support demand for its own chips, since Nvidia is guaranteeing debt tied to a facility built to run its hardware exclusively.

The PORTS-Pike Technology Campus sits in Pike County, Ohio, on the site of the former Portsmouth Gaseous Diffusion Plant, a decommissioned uranium enrichment facility about 50 miles south of Columbus. SB Energy, a SoftBank subsidiary, will build and operate it under a 20-year lease to OpenAI.

The first phase, roughly 800 megawatts of the initial 4.25-gigawatt commitment, is expected online in 2028. The full 8-gigawatt campus would follow in later phases through the early 2030s.

The Wall Street Journal first reported a proposed $250 billion backstop on August 14, 2026, and Nvidia shares fell as much as 5% on the news. The finalized August 17 SEC filing capped Nvidia’s guaranty at $105 billion, covering only the campus’s initial phase rather than the full 10-gigawatt buildout.

The guarantee is structured as an off-balance-sheet obligation, but Nvidia’s own 8-K classifies it under rules governing direct financial obligations. Rating agencies including S&P Global have said they treat comparable residual-value guarantees, such as Broadcom’s, as debt-like obligations in adjusted debt calculations, which suggests similar scrutiny could apply here.

Where This Leaves You

Here’s what’s actually changed after this filing. Nvidia no longer needs OpenAI to buy more chips to grow. It now needs OpenAI’s Ohio lease payments to keep flowing for the next twenty years, or it needs to be comfortable writing a check as large as $105 billion if they don’t. Those are two different kinds of exposure, and the market has spent the past week trying to figure out which one it’s actually pricing.

Watch the 10-Q exhibits for the real trigger mechanics, watch OpenAI’s IPO timeline for the revenue side of the equation, and watch whether that separate $350 billion chip financing talk turns into an actual filing. Any one of those three could change how this deal reads in six months.

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