Nvidia faces stress test as AI cloud partners struggle with high costs

From chips to credit guarantees

Nvidia has evolved from a company that simply sells graphics processing units to a central financier of the global AI buildout. While it remains the dominant provider of the chips needed to train and deploy large models, it is now using its investment-grade credit rating to help customers fund massive projects. By providing backstop guarantees, Nvidia allows its partners to secure loans at lower interest rates to build out the necessary data centers.

The company's strategy aims to put its systems into as many hands as possible by removing the immediate capital barriers for developers. This approach is designed to create a massive ecosystem where Nvidia's hardware is the foundational layer for every new AI service. As a result, Nvidia is increasingly involved in the financial health of the companies it sells to, moving beyond a simple transactional relationship.

This financial role is supported by a massive amount of capital and a growing portfolio of equity stakes. As of the second quarter, Nvidia's investments in companies like OpenAI and Anthropic are worth $99 billion. The company is leveraging its $5 trillion market cap to ensure that the infrastructure for the next generation of AI is built using its specific technology.

The rise of the neoclouds

A key part of Nvidia's strategy involves supporting 'neoclouds,' which are specialized cloud providers that focus on high-performance AI computing. These companies often burn significant amounts of cash to build out the infrastructure required to meet the high demand for compute. Nvidia has taken equity stakes in dozens of these firms and provided various forms of financial support to help them scale their operations quickly.

However, these neoclouds are beginning to face significant market pressure as credit markets tighten. Shares of several companies in Nvidia's portfolio, including CoreWeave, Nebius, and IREN, have fallen at least 30% this month. For CoreWeave, the largest of the group, the cost of insuring against a default has soared, signaling growing investor concern over the stability of these high-growth, high-debt businesses.

Nvidia has also backed other providers that have run into recent hurdles. For example, the Australian provider Firmus abruptly withdrew its plans to go public this month. Other companies like Nscale and SB Energy have also seen their public offering plans stall. These developments highlight the difficulty of finding the working capital necessary to fuel the rapid growth that Nvidia's CEO describes as being 'off the charts.'

How the backstops work

Nvidia's financial commitments often take the form of off-balance-sheet agreements, which are contracts that don't appear as debt on its own books. One of its largest deals is a guarantee for a proposed 10-gigawatt OpenAI data center in Ohio. Under this deal, Nvidia guarantees to pay the difference if the facility is sold or leased for less than a minimum price, a commitment worth up to $105 billion.

Other backstops are designed to protect lenders by guaranteeing a minimum resale price or a minimum hourly price for the chips. If a neocloud operator cannot find a buyer for its hardware, Nvidia's guarantee ensures the lender can recoup the assets. These structures are intended to make AI infrastructure more attractive to traditional financial institutions by reducing the risk of total loss on the hardware.

The company is also working to treat compute infrastructure as a formal asset class. It recently signed an agreement with six large asset managers for a $500 billion financing push. This deal promises financial firms up to $125 billion in residual value guarantees on GPU financings. By doing this, Nvidia is trying to create a standardized way for big money to flow into the AI hardware market.

Risks and market reactions

The shift toward becoming a financier carries significant risks if the demand for AI compute does not meet lofty expectations. If a major partner like OpenAI faces insolvency or misses payments, Nvidia could be forced to take over leases or pay out on its guarantees. While Nvidia argues that its hardware is durable and fungible, the sheer scale of these liabilities is drawing attention from market observers and ratings agencies.

Research shows that the net present value of Nvidia's off-balance-sheet liabilities for fiscal 2026 could total over $153 billion. This is a significant increase from the previous year and reflects the growing scale of the AI trade. Ratings agencies like Moody's are monitoring these guarantees closely, even though they are not currently counted as debt when rating corporate buyers.

Market jitters are already starting to impact Nvidia's own stock performance. The company's shares fell 7.6% in October, putting it on pace for its worst month since late last year. While CEO Jensen Huang remains confident in the demand for neoclouds, the tightening of credit markets means the company's role as a financier will be tested as these massive projects move toward completion.