Nvidia and Six Wall Street Giants Target $500 Billion to Fund Global AI Infrastructure

Quick Facts

Nvidia signed memorandums of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to mobilize more than $500 billion for AI infrastructure.
Nvidia CEO Jensen Huang said the company may backstop up to 25% of individual opportunities, capped at $125 billion.
Morgan Stanley projects $3.5 trillion in AI infrastructure spending between 2026 and 2028, with Big Tech alone expected to surpass $730 billion this year.

Nvidia has struck deals with six of Wall Street’s largest financial firms to funnel a half-trillion dollars into AI data centers and hardware. The company signed memorandums of understanding with Apollo Global Management, BlackRock, Blackstone, Brookfield Corp., Goldman Sachs, and KKR on Monday, Aug. 10, 2026.

The announcement came after the closing bell, following a Financial Times report earlier in the day that sent Nvidia shares down more than 2%. Executives from all seven companies appeared together on CNBC’s “Closing Bell: Overtime” with anchor Becky Quick.

Jensen Huang, Nvidia CEO, framed the initiative as a structural shift in how AI hardware is financed. “In AI, compute is revenue,” Huang said. “We are bringing the world’s leading long-term capital providers together to independently underwrite AI infrastructure.”

The move treats AI chips and data centers as a new asset class, comparable to commercial real estate or toll roads. Huang told CNBC: “This is really the first time that technology chips have become an investable asset class. These are revenue-generating assets now. They’re productive, they’re long-lived, they’re fungible, they’re flexible.”

Nvidia controls more than 90% of the AI chip market. Its biggest customers include Google, Microsoft, Meta, Amazon, SpaceX, OpenAI, and Anthropic. Those companies have collectively spent more than $1 trillion on AI projects and infrastructure over the past three years.

The $500 billion figure is a target, not committed capital. The parties have signed preliminary agreements, but individual contributions, financing terms, and deployment timelines have not been disclosed. Huang wrote on X that Nvidia may provide financing support of up to 25% of any single opportunity, capping its own exposure at $125 billion.

The financing platforms are designed to expand access to Nvidia-based infrastructure for frontier AI developers, enterprises, governments, and cloud providers. Institutional credit, insurance funds, and private capital would underwrite new projects, allowing customers to acquire compute at scale without relying solely on direct capital expenditure.

Larry Fink, BlackRock chairman and CEO, said the scale of investment required will be enormous. “We need to raise $500 billion. Obviously, that’s an unprecedented amount of money, but we’re going to have to raise trillions of dollars over the coming years,” Fink said.

Blackstone President Jon Gray said AI usage among the firm’s portfolio companies has grown sevenfold this year and that demand is outpacing supply. Apollo President Jim Zelter called modern computing “a scarce, mission-critical asset class with compelling investment characteristics.”

Goldman Sachs CEO David Solomon called the moment “a pivotal moment of a historic AI investment cycle.”

The announcement follows a separate $500 billion deal Nvidia struck with South Korean chipmaker SK Hynix late last month. Nvidia is also in talks to backstop as much as $250 billion to help OpenAI lease computing power from a U.S. data center project.

Nvidia is the world’s most valuable company, with a market cap of $4.5 trillion. Its stock has surged more than 1,100% over the past three years and roughly 25,000% over the past decade.

For software and technology executives, the deal signals that access to compute will increasingly depend on structured financing agreements, not just procurement contracts. As institutional capital flows into AI infrastructure at scale, the cost and availability of GPU capacity could shift in ways that affect pricing, timelines, and competitive positioning across the industry.

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