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Nvidia Partners With Six Financial Giants to Unlock $500 Billion for AI Infrastructure

Nvidia is collaborating with major financial firms to create compute financing platforms, aiming to raise $500 billion to help customers fund GPU purchases and data center builds.

Nvidia is moving to turn its GPUs into a financeable asset class by partnering with six major financial institutions. On August 10, 2026, the company announced memorandums of understanding with Apollo Global Management, BlackRock, Blackstone, Brookfield Asset Management, Goldman Sachs, and KKR.

The initiative aims to raise over $500 billion in third-party capital to fund GPU acquisitions and data center construction. This model is designed to assist AI labs, cloud providers, and enterprises that face capital constraints when purchasing hardware.

Nvidia is not providing direct cash or taking on new debt for the program. Instead, the company may offer residual-value guarantees of up to 25% on specific projects, potentially totaling approximately $125 billion in support across the entire initiative.

The strategy frames AI hardware as a revenue-generating asset, similar to how aircraft or utilities are financed. This approach follows a similar, smaller-scale model used by CoreWeave, which previously launched an $8.5 billion facility backed by GPUs.

As of October 1, 2026, some Wall Street investors expressed skepticism regarding the use of chips as long-term collateral. Concerns focused on the rapid evolution of AI hardware and whether the current guarantees provide enough protection for lenders.

CEO Jensen Huang stated that the partnerships are intended to sustain hardware demand while providing institutional investors, such as pension and sovereign-wealth funds, with a way to gain exposure to AI infrastructure.

Future developments to watch include the conversion of these memorandums into binding agreements and the actual amount of capital raised. The specific terms of these deals, particularly regarding revenue backing and collateral protections, will determine if GPUs can be successfully underwritten as a long-term asset class.

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