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Crypto Games > Blog > Artificial Intelligence (AI) > Nvidia backstops its own chips’ resale value to unlock $500 billion in AI financing
Artificial Intelligence (AI)

Nvidia backstops its own chips’ resale value to unlock $500 billion in AI financing

Staycalm4now By Staycalm4now - Owner Last updated: August 11, 2026 5 Min Read
We may include affiliate links in our content, meaning we could earn a commission—or receive blockchain-based assets—if you click a link and make a purchase or take a specific action. Additionally, we use generative AI to help draft and refine our posts for clarity and grammar. All content is fact-checked and reviewed by a human editor before publication.
Nvidia backstops its own chips' resale value to unlock $500 billion in AI financing Image Source: The-decoder
Nvidia backstops its own chips' resale value to unlock $500 billion in AI financing
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Nvidia just told the market it will eat part of the loss if its own GPUs turn out to be worth less than promised. Not a slogan. A contractual guarantee, capped at 25 percent of a given transaction, reviewed project by project.

Contents
What the guarantee actually coversThe number is a target, not revenueThe circularity question Huang couldn’t dodgeMichael Burry called this the fraud, and Huang is arguing the other sideThe numbers everyone else is working with

That’s the mechanism behind the headline number: letters of intent with six financial firms to mobilize more than $500 billion in third-party capital for data centers, chip factories and power plants. The partners are Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR.

Investors didn’t cheer. Nvidia’s stock fell about 1.4 percent after the deal surfaced, erasing more than $70 billion in market cap.

Ad image Ad image

What the guarantee actually covers

If the resale or reuse value of installed hardware comes in below expectations at the end of a financing term, Nvidia covers part of the gap. Up to 25 percent of the transaction. The chipmaker is taking on some of the depreciation risk on its own products.

Nvidia CEO Jensen Huang said that share is “significantly lower” than in other compute financing arrangements. The actual credit assessment, meaning the evaluation of the customer, demand, utilization, cash flow and residual value, stays with the capital providers.

Read that carefully. Nvidia absorbs the tail risk on the asset. Somebody else underwrites the borrower.

The number is a target, not revenue

Huang described the move on X as a shift from one-off projects to repeatable financing platforms, with “AI factories” funded the way power grids or transportation networks are. Plenty of AI companies have demand for compute and no way to raise capital at the scale they need.

He was explicit about what the $500 billion isn’t. It’s an aggregate target spread over years. Not Nvidia revenue. Not a single fund. Not a commitment to any one customer.

Nvidia didn’t share terms, individual commitments or a timeline. That’s a lot of unspecified structure sitting under a very specific number.

The circularity question Huang couldn’t dodge

Nvidia regularly supports its partners in taking on debt, and that debt turns into Nvidia revenue. Huang addressed the accusation directly, and the residual-value guarantee is his answer to it: real risk transferred back onto Nvidia’s balance sheet rather than pure vendor financing dressed up as demand.

The company is also negotiating a guarantee for a 10-gigawatt data center in Ohio leased to OpenAI.

Michael Burry called this the fraud, and Huang is arguing the other side

Investor Michael Burry called the hyperscalers’ depreciation practices “one of the more common frauds of the modern era.” His argument: GPUs go obsolete too fast to justify five-to-seven-year useful lives, because Nvidia itself ships a new generation every two to three years. He put the understatement at roughly $176 billion between 2026 and 2028 alone.

Huang claims the opposite. He says the A100, launched in 2020, is still in commercial use six years later, with an economic lifespan stretching toward a decade, and that CUDA keeps improving installed hardware over time.

His market evidence is rental pricing. H100 annual contracts went from $1.70 per GPU-hour in October 2025 to $2.35 in March 2026. B200 capacity runs between $5.30 and $7.05.

Rising rents on a five-year-old part is a genuine data point. It’s also exactly the kind of price signal that holds until supply catches up.

The numbers everyone else is working with

Morgan Stanley expects hyperscaler spending of $3.5 trillion between 2026 and 2028. Apollo president Jim Zelter puts the total investment need at over $8 trillion. Against $8 trillion, a $500 billion financing target is a slice, not the plan.

The Bank of England warned in its July Financial Stability Report that the pace is historically unprecedented, and that a shock hitting highly leveraged AI companies could ripple through global financing conditions and trigger a credit crunch. Banks and private credit firms, the report noted, have limited visibility into their indirect exposure.

That last line is the one worth keeping. The residual-value guarantee makes a lender’s downside legible on paper, at 25 percent, project by project. What nobody has published is who holds the other 75 percent, or how much of it traces back through the same six firms.

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By Staycalm4now
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George Tsagkarakis, known as Staycalm4now is a professional author in the crypto gaming industry since early 2018. He has experienced all the growth of Blockchain Gaming and helped multiple projects achieve their goals and established a player base. He is the co-founder of egamers.io and now the Founder and owner of CryptoGames.gg He is also the COO of MyStage, an AI x Crypto Startup.
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