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Nvidia backs $500B data center fund, promises GPU resale value support

Nvidia has recruited Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to commit up to $500 billion to AI data center construction, while separately pledging its own money to underwrite the resale value of aging GPUs used as collateral in those deals.

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Nvidia backs $500B data center fund, promises GPU resale value support

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Nvidia has recruited Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to commit up to $500 billion to AI data center construction, while separately pledging its own balance sheet to underwrite the resale value of the GPUs used as loan collateral in those deals, the company announced this week.

// in brief
  • Six major financial institutions have committed up to $500 billion to build AI data centers backed by Nvidia chips as collateral.
  • Nvidia will cover up to 25% of any shortfall if GPUs used as collateral cannot be liquidated at their book value, creating what financiers call 'wrong way' risk for the company.
  • The plan is designed to grow a secondary market for used Nvidia hardware, extending demand as chips age - a direct benefit for smaller buyers who cannot afford new silicon.

The headline figure drew immediate attention, but the more consequential detail is the collateral guarantee. Under the arrangement, if a data center operator defaults and the lender must liquidate the chips at below-book prices, Nvidia will cover up to 25% of the difference. That backstop is designed to make institutional lenders comfortable treating GPUs as durable assets rather than depreciating electronics.

Bond markets reacted with alarm. The concern - which Nvidia CEO Jensen Huang addressed directly on X and in broadcast interviews - is what financiers call “wrong way” risk: Nvidia’s obligations under the guarantee would grow precisely when its revenues are under pressure, since both outcomes are driven by falling demand for AI compute.

“Is this circular financing? This initiative is designed to address that concern. We are bringing independent, long-term institutional capital into the AI infrastructure market.”

- Jensen Huang, on X

Huang has pushed back on comparisons to Lucent Technologies, the telecoms equipment maker that lent customers money to buy its own gear and collapsed when the dotcom bubble burst. The distinction, according to Huang, is that Nvidia is not the primary lender - it is merely guaranteeing a slice of asset value while outside institutions carry the bulk of capital and risk. Bloomberg has separately calculated that Nvidia has been working on another $750 billion worth of circular deals this summer.

The backdrop is a funding squeeze among the largest hyperscalers: Oracle has taken on heavy debt, Google has issued new equity tranches, and Meta has burned through significant cash. Microsoft CEO Satya Nadella recently cited “1873” - a book on railroad-era financial engineering that crashed the American economy - on an earnings call.

Practitioner takeaway: The practical upside of Nvidia’s guarantee scheme, if it holds, is a more liquid market for second-hand GPUs. Startups and small businesses that cannot compete for new H-series or Blackwell hardware at launch prices stand to benefit if institutional confidence in used-chip valuations encourages more resales and leases at lower price points - effectively widening access to serious compute without waiting for the next product cycle.

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Piotr Olszewski

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I edit and publish Quantslant. AI tools help with research, drafts and translation; choosing topics, running the tests, checking facts and the decision to publish are mine, and so is the responsibility for what appears here.

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