Nvidia has partnered with several Wall Street giants, including Apollo, BlackRock, and Goldman Sachs, to raise $500bn (£370bn) for artificial intelligence infrastructure. The funding will be used to support Nvidia's own projects as well as those of its partners, which include the construction of new data centers and factories to manufacture AI chips. This massive influx of capital is driven by the increasing demand from major tech companies, such as Google, Meta, and Amazon, who have collectively spent over $1tn on AI projects in just three years. Nvidia's chief executive, Jensen Huang, says that "compute" - or AI hardware and infrastructure - has become a critical asset class that is driving long-term economic growth and productivity gains.
Written by the local model on 2026-08-21,
using this article's own text rather than the other coverage of the
same event (that is the story summary below).
Story summary
Nvidia, a leading chipmaker, has partnered with six Wall Street giants - Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR - to raise $500bn (£370bn) in capital for artificial intelligence infrastructure. The funding will go towards Nvidia's own projects and those of its partners, including the construction of new data centers and factories to manufacture AI chips. This marks a significant shift in how investors treat AI hardware and infrastructure, which is now being considered an asset class. According to Jensen Huang, Nvidia's CEO, "compute" - or AI processing power - is becoming increasingly essential for revenue generation in the field. The partnership will also create new opportunities for Nvidia and its partners to manufacture and supply AI chips to buyers.
Written for “AI Funding Boom” on 2026-08-31,
grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
The article presents Nvidia's AI projects as a boom, with the company 'helping create a new class of productive, investable infrastructure' and driving 'significant long-term economic growth and productivity gains'. The language used by industry experts, such as 'mission critical' and 'scarce', also suggests a positive framing.
Written under an earlier scoring contract, which gave a paragraph
rather than checkable quotes. Re-analysing this article replaces it.
Leaning score +0.75 for article 647 · logged 2026-08-11
- Published
Nvidia has teamed up with some of Wall Street's largest banks and investors to raise $500bn (£370bn) in capital for artificial intelligence infrastructure.
The chipmaker said it had struck deals with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR, and that the investors were for the first time treating AI hardware and infrastructure, often referred to as "compute", as an asset class.
"In AI, compute is revenue," Nvidia chief executive Jensen Huang said.
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Huang → publish → AI
"We are bringing the world's leading long-term capital providers together to independently underwrite AI infrastructure.
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We → bring → infrastructure
The financing will go towards Nvidia's own projects and those being built by its partners.
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financing → go → partners
Infrastructure projects backed by this fund will likely include the construction of new data centres to house, operate, and cool miles of stacked computer chips that process AI data and actions.
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that → back → data
It will also back new factories to manufacture the AI chips needed to power these systems and increase their availability to buyers.
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It → back → buyers
"Compute has become a critical infrastructure asset," Joe Bae and Scott Nuttall, co-chief executives of KKR, said in a joint statement.
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Bae → become → statement
"As we've scaled our approach to digital infrastructure, we've learned that delivery, not ambition, is the hard part.
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delivery → scale → infrastructure
"
Essentially every major technology and AI company uses Nvidia's computer chips, or graphics processing units (GPUs), to power their services, AI platforms and AI chatbots.
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company → use → services
"Nvidia is absolutely enormous and produces these chips that everybody needs for AI and it needs to keep facilitating the growth of AI," Jane Sydenham, senior investment manager at Rathbones, told the BBC.
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Sydenham → produce → BBC
However, she added: "The worry is that more and more money is going into these projects.
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money → add → projects
Are they all going to earn the right return for the future?"
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they → go → future
Companies using Nvidia's popular chips or GPUs include Google, Meta, Amazon, Microsoft, SpaceX, Tesla, OpenAI and Anthropic.
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Companies → use → Google
Such companies have collectively spent over $1tn, external in just three years on AI projects and infrastructure, with much more spending expected.
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spending → spend → projects
And their demand for Nvidia's chips and services has driven the stock market value of the company up fivefold in three years.
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demand → drive → years
In a statement on Monday, Huang referred to Nvidia's role as a chip-maker as the company's beginning.
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Huang → refer → beginning
"Today, we are helping create a new class of productive, investable infrastructure: AI factories," he said.
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he → help → infrastructure
With a new ability to tap some funding from the banks and investors partnering with Nvidia, they will be able to finance more of the AI boom.
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they → tap → boom
Jim Zelter, president of Apollo, a lender which manages more than $1tn in assets, said: "Modern compute has emerged as a scarce, mission-critical asset class.
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compute → manage → class
"
It is also "positioned to drive significant long-term economic growth and productivity gains", Zelter added.
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Zelter → position → growth
BlackRock last month entered into an individual deal with Meta, external to finance and take a majority ownership stake in one data centre in Texas.
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BlackRock → enter → Texas
Anthropic also recently entered into a deal with Macquarie Asset Management and GIC, a sovereign wealth fund in Singapore, for its own investment in AI infrastructure.
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Anthropic → enter → infrastructure
The company did not specify the size of the deal, but said more financing was needed as its popular chatbot Claude had become so popular that the "demand requires significant new compute".
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demand → specify → compute