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Nvidia and Wall Street Raise $500 Billion for AI

The chipmaker has partnered with investment giants like BlackRock and Goldman Sachs to capitalize on the growing need for data centers and chip factories.

Foto: Wikipedia (Wall Street)
Summary
  • Nvidia announced a plan with Wall Street partners to raise $500 billion for AI infrastructure.
  • The funds will be invested in building data centers and factories for AI chip production.
  • It is estimated that the U.S. alone will need more than 70 gigawatts of AI data center capacity.
  • Combined spending on AI by major tech companies will exceed $730 billion this year.

Chipmaker Nvidia and leading Wall Street financial institutions announced on Tuesday, August 11, 2026, a plan to mobilize at least $500 billion in capital. The funds are intended for investment in artificial intelligence infrastructure, marking one of the most ambitious moves in expanding AI capacity to date.

The partnership includes investment banks and firms such as Goldman Sachs, Apollo, BlackRock, and KKR, as reported by Daily Sabah. Croatian portal Financije.hr also lists Blackstone and Brookfield as part of the consortium, suggesting the circle of partners may be even broader. The timeline for raising this massive sum has not been specified.

Computing Power as a New Asset Class

This move underscores how the growing demand for AI computing capacity is attracting institutional investors. Companies, governments, and startups are racing to build data centers to support increasingly demanding AI workloads.

"In artificial intelligence, computing power is revenue. We are bringing together the world's leading providers of long-term capital to independently finance and evaluate AI infrastructure," said Jensen Huang, CEO of Nvidia, in a statement to Financije.hr.

Joe Bae and Scott Nuttall, co-presidents of KKR, added in a joint statement: "Computing power has become a critical infrastructure asset." This statement confirms that AI hardware and infrastructure are, for the first time, being treated as a distinct asset class by major investors.

Enormous Appetites for Energy and Money

Building data centers is extremely capital-intensive. Jensen Huang estimated that for every gigawatt of energy consumption, an investment of $50 to $60 billion is required. BlackRock CEO Larry Fink added his estimate that the United States alone will need more than 70 gigawatts of AI data center capacity.

Context for these figures is provided by data on total spending by tech giants. Combined spending on AI by major tech companies will exceed $730 billion this year. Financije.hr adds that companies like Google, Meta, Amazon, Microsoft, Tesla, SpaceX, OpenAI, and Anthropic, all major buyers of Nvidia's chips, have collectively spent more than a trillion dollars on AI projects and infrastructure over the past three years.

Daily Sabah also notes that Nvidia has itself been investing in AI companies in recent months, with some of those firms subsequently using the funds to purchase Nvidia technology. Such circular deals have raised concerns among some investors.

Financing Factories and Global Reach

The fund will not only be used for building data centers. According to information from the BBC, as reported by Financije.hr, funds will also be directed toward financing new factories for AI chip production. The goal is to increase their availability in a market that shows an insatiable appetite for Nvidia's graphics processing units (GPUs).

Goldman Sachs CEO David Solomon acknowledged that there will be both winners and losers in the race to develop artificial intelligence. Despite this, partners expect computing capacity to become an established investment category. Demand for Nvidia's products has increased the company's market value fivefold in just three years, further illustrating the financial power behind this sector.

FAQ
Who are Nvidia's partners in this plan? +
According to sources, partners include Goldman Sachs, Apollo, BlackRock, KKR, Blackstone, and Brookfield.
What will the $500 billion raised be spent on? +
The funds are intended for building new AI data centers and factories for AI chip production.
How much energy will AI data centers in the U.S. need? +
According to Larry Fink's estimate from BlackRock, the U.S. will need more than 70 gigawatts of capacity for AI data centers.
What has raised concerns among investors regarding Nvidia? +
Concerns have been raised by the practice of circular deals, where Nvidia invested in AI companies that subsequently used that money to purchase Nvidia technology.

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