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Nvidia Secures $500B AI Buildout Backing

Nvidia Secures $500B AI Buildout Backing

Nvidia has lined up $500 billion in AI infrastructure funding with major Wall Street firms to expand data centers and chip production.

Nvidia has locked in $500 billion in capital for AI infrastructure, joining forces with some of Wall Street’s biggest banks and investors to push deeper into the artificial intelligence buildout. The money is aimed at the hardware and facilities behind the AI boom, from data centers to the chip factories that feed them.

The chipmaker said it reached deals with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. Those investors are treating AI hardware and infrastructure, often called compute, as a distinct asset class for the first time, underscoring how central the technology has become to the market.

Jensen Huang, Nvidia’s chief executive, said, “In AI, compute is revenue.” He added that the company is bringing major long-term capital providers together to independently finance AI infrastructure. Joe Bae and Scott Nuttall, the co-chief executives of KKR, said compute has become a critical infrastructure asset and stressed that delivery, not ambition, is the hard part when projects scale up.

The funding will support Nvidia’s own projects as well as work being developed with partners. That likely includes new data centers built to house, run and cool rows of stacked computer chips that handle AI data and actions. It will also help finance new factories to make the AI chips used in those systems and expand supply for buyers.

Nvidia’s rise sits at the center of the wider AI boom. Nearly every major technology and AI company relies on its graphics processing units, or GPUs, to power AI services, platforms and chatbots. Customers include Google, Meta, Amazon, Microsoft, SpaceX, Tesla, OpenAI and Anthropic. Their demand has helped lift Nvidia’s market value fivefold in three years.

The scale of spending has already been massive. Companies using Nvidia’s chips and services have collectively spent more than $1 trillion in just three years on AI projects and infrastructure, and more spending is expected. That flood of money has made Nvidia one of the clearest winners in the race to build the computing power behind artificial intelligence.

Jane Sydenham, senior investment manager at Rathbones, said Nvidia is “absolutely enormous” and makes the chips everybody needs for AI, while warning that more money is pouring into projects that may not all earn the right return later. Her comments reflect a broader question hanging over the industry: how much of the current buildout will pay off once the market matures?

Other deals show how fast this market is evolving. BlackRock last month signed a separate agreement with Meta to help finance and take a majority ownership stake in one data center in Texas. Anthropic also struck an infrastructure deal with Macquarie Asset Management and Singapore’s sovereign wealth fund GIC, saying its Claude chatbot has drawn demand that requires significant new compute. For American businesses, workers and consumers, the next phase of AI will depend on whether these giant bets turn into durable infrastructure rather than costly excess.

Frequently asked questions

Who is putting the $500 billion into AI infrastructure?
Nvidia said it has deals with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. The firms are treating AI hardware and infrastructure as a separate asset class.
What will the money be used for?
It will help finance Nvidia’s own projects and partner projects, including new Data Centers and new factories to make AI chips.
Why is Nvidia so central to the AI boom?
Major technology and AI companies rely on Nvidia’s GPUs to power their AI services, platforms and chatbots. That demand has pushed the company’s market value up fivefold in three years.
What concerns do investors have about the AI spending spree?
Jane Sydenham of Rathbones warned that more and more money is going into AI projects and asked whether they will all earn the right return in the future.
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