The initiative highlights the growing amount of capital required to build the physical infrastructure behind the global AI boom, including advanced chips, data centres and power-generation capacity.
Nvidia shares fell more than 3% in afternoon trading on Monday, despite the company's central role in the rapidly expanding AI market.
The proposed financing effort comes as major technology companies continue to signal that their spending on artificial intelligence is unlikely to slow significantly. Combined capital expenditure by the biggest technology companies is expected to exceed $730 billion this year, underscoring the enormous financial requirements of the AI expansion.
Major financial firms join AI infrastructure push
The group working with Nvidia also includes BlackRock's Global Infrastructure Partners, Brookfield Asset Management, Goldman Sachs and KKR, according to the Financial Times, which first reported the development.
The companies are in discussions about partnering with Nvidia to finance and support the construction of the infrastructure needed to accommodate growing demand for AI computing.
Such infrastructure requires huge upfront investments. Data centres equipped with powerful AI processors consume substantial amounts of electricity, creating additional demand for new power-generation projects and grid infrastructure.
The involvement of large asset managers and private-equity firms could provide Nvidia and its partners with access to significant pools of institutional capital at a time when AI infrastructure projects are becoming increasingly expensive.
BlackRock and KKR declined to comment when contacted by Reuters. Nvidia and the other companies involved did not immediately respond to requests for comment.
Nvidia turns to debt markets
The proposed funding package would represent another major step in Nvidia's efforts to secure capital for the broader AI ecosystem.
In June, Nvidia said it would raise $25 billion through a U.S. bond issuance, marking its first move into the debt market since 2021 as the company sought to increase its liquidity.
The shift illustrates how the AI boom is increasingly becoming a capital-intensive infrastructure race. While Nvidia remains best known for designing the high-performance processors used to power AI systems, the industry's expansion increasingly depends on the availability of data centres, electricity, networking equipment and other supporting infrastructure.
The scale of the proposed $500 billion package also reflects the growing expectations surrounding AI investment. Technology companies are racing to expand computing capacity, while infrastructure investors are looking for ways to participate in what could become one of the largest investment cycles in the technology sector.
For Nvidia, helping organise financing beyond the sale of its own chips could strengthen its position across the wider AI supply chain. It could also help ensure that customers have the physical capacity and power required to deploy the company's processors at scale.
As demand for AI continues to accelerate, the competition may therefore extend beyond who develops the most powerful chips. Increasingly, the ability to finance and build the data centres and energy infrastructure needed to operate those chips could prove just as important.