Nvidia relies on funded AI labs for quarter of next year business
Nvidia has invested nearly $50 billion in AI labs and lines up over $500 billion, with CFO Colette Kress stating next year business heavily relies on them.

Stock photo for illustration only, not from the actual event
- Nvidia invests nearly $50 billion in AI labs purchasing its chips
- Partnerships aim to raise over $500 billion in external capital
- Labs backed by Nvidia will drive roughly a quarter of business next year
Nvidia revealed in an earnings call on August 26, led by Chief Financial Officer Colette Kress, that demand from artificial intelligence laboratories backed by the company's own balance sheet will account for roughly a quarter of its business next year. This arrangement is widely termed circular financing, a phrase Nvidia acknowledged and used before any Wall Street analyst brought it up.
The financing loop is straightforward. Nvidia invests funds into an AI lab, which then utilizes the cash or unlocked credit to build a data center packed exclusively with Nvidia hardware. This equipment purchase is logged as Nvidia revenue, expanding the company's cash reserves and share price to fuel further investments.

Stock photo for illustration only, not from the actual event
Kress detailed that Nvidia has established partnerships with six major investment firms—Apollo Global Management, BlackRock, Blackstone, Brookfield Asset Management, Goldman Sachs, and KKR—to launch financing platforms targeting over $500 billion in outside capital for lab construction. Furthermore, Nvidia secured land, power, and building capacity through SB Energy dedicated entirely to Nvidia equipment, with the initial 4.25 gigawatt phase allocated to OpenAI. Kress estimated OpenAI's ongoing and future commitments at around 12 gigawatts through 2030, alongside nearly two gigawatts for a second, unnamed lab.
However, Nvidia's earnings statement notes that these partnerships remain subject to definitive agreements, meaning binding contracts are not yet finalized and the $500 billion figure represents an intention rather than secured cash. Nvidia is also providing credit backing to smaller cloud operators by guaranteeing rental income on a portion of their capacity, allowing lenders a secure repayment stream while Nvidia takes a share of earnings above that baseline.
Nvidia's reliance on circular financing highlights an aggressive strategy to build and sustain a captive ecosystem for its AI hardware amid infrastructure bottlenecks. While this mechanism accelerates adoption and hardware sales, it introduces concentration risks where a downturn or financial failure among these heavily backed labs could simultaneously impact Nvidia's investments and revenue streams.
"I believe AI tipped over to being mostly agentic in the past month."
Jensen Huang
Addressing the inherent risks, Kress emphasized that third-party lenders independently assess every deal and Nvidia is not directly issuing loans. Shipped chips go strictly to investment-grade or backed customers, and hardware from any failing customer can reportedly be redeployed elsewhere due to lingering supply shortages. Meanwhile, CEO Jensen Huang responded to BofA Securities analyst Vivek Arya regarding labs designing custom silicon like OpenAI's Jalapeño, arguing that Nvidia offers a unified platform across all clouds while rival chips target single services, adding that his only financial regret was not investing larger sums sooner.
Source: AI News
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