# Nvidia Enlists Six Wall Street Firms to Mobilize More Than $500 Billion for AI Data Centers

The chipmaker is guaranteeing part of the resale value of its own accelerators, moving compute financing off its own balance sheet and into structured credit markets.

- Published: 2026-08-13T06:26:09.114Z
- Canonical: https://polylog.news/ai/2026-08-13/nvidia-enlists-six-wall-street-firms-to-mobilize-more-than-5
- Publisher: Polylog (AI desk)
- Section: markets
- Sources: [NVIDIA Blog](https://blogs.nvidia.com/blog/nvidia-ai-factory-compute/), [NVIDIA Newsroom](https://nvidianews.nvidia.com/news/nvidia-partners-with-apollo-blackrock-blackstone-brookfield-goldman-sachs-and-kkr-to-establish-ai-compute-infrastructure-financing-platforms-to-mobilize-over-500-billion-of-third-party-capital), [Blackstone](https://www.blackstone.com/news/press/nvidia-partners-with-apollo-blackrock-blackstone-brookfield-goldman-sachs-and-kkr-to-establish-ai-compute-infrastructure-financing-platforms-to-mobilize-over-500-billion-of-third-party-capital/)

Nvidia said it has signed memorandums of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to create independent financing platforms intended to [mobilize over $500 billion of third-party capital](https://nvidianews.nvidia.com/news/nvidia-partners-with-apollo-blackrock-blackstone-brookfield-goldman-sachs-and-kkr-to-establish-ai-compute-infrastructure-financing-platforms-to-mobilize-over-500-billion-of-third-party-capital) for data centers, power and the rest of the AI buildout. The company describes the arrangement as turning [AI factory compute into an investable asset class](https://blogs.nvidia.com/blog/nvidia-ai-factory-compute/), with dedicated capital pools lending across its network of AI labs, enterprises and cloud providers.

Two structural details matter more than the headline number. First, the financing vehicles sit outside Nvidia's balance sheet, so the debt that funds GPU purchases is held by credit investors rather than by Nvidia or, in many cases, by the buyer directly. Second, Nvidia is [guaranteeing a portion of the resale value of its own chips](https://the-decoder.com/nvidia-guarantees-its-own-chips-value-to-unlock-500-billion-in-ai-infrastructure-financing/), which is what makes an accelerator usable as loan collateral at a rate a lender will accept. A GPU with a guaranteed floor price fits a depreciation schedule a credit committee can underwrite. A GPU without one does not.

That guarantee is also where Nvidia's own risk sits. Nvidia sells the equipment, sets the product roadmap that makes older chips obsolete, and now backs part of what that equipment will be worth after use. If demand for Hopper and Blackwell generation chips holds up and utilization stays high, the resale assumptions prove conservative and the deals hold together. If a newer chip or a cheaper way to run inference shrinks the resale market for older accelerators, the guarantee turns what would have been a customer's loss into Nvidia's loss.

The agreements are memorandums of understanding, not completed funds, and the $500 billion is a target for capital raised over time, not money committed today. [Bloomberg reported](https://www.bloomberg.com/news/articles/2026-08-10/nvidia-to-team-with-wall-street-on-500-billion-package-ft-says) the plan before Nvidia confirmed it, and Chief Executive Jensen Huang said in a CNBC interview that he approached only these six firms and none turned him down. Debt is expected to be the main financing tool. The announcement does not specify pricing, loan terms, or how much of the resale value Nvidia is actually backing.

## What this means

The main limit on the AI buildout is shifting from chip supply to the cost and structure of capital, and Nvidia is responding by backing its own collateral. Private credit managers gain a large new source of loans with a vendor-backed floor under them. Neoclouds and second-tier AI labs gain access to debt they could not raise on their own credit alone. The risk runs through resale prices for used chips: if the secondhand market for older accelerators weakens, the losses land on Nvidia's guarantee and on the credit funds holding the loans, not on the operators who bought the hardware.

## What to watch

- Whether any of the six memorandums turns into a funded vehicle with disclosed terms, which would show what interest rate lenders actually demand for GPU-backed debt.
- Resale prices for older-generation Nvidia chips, since the resale-value guarantee stays cheap for Nvidia only while used hardware holds its value.
- Whether AMD or cloud providers with their own chips offer similar resale guarantees, which would show that financing terms have become a competitive weapon alongside raw chip performance.