The company announced in August that it would work with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize more than $500 billion of third-party capital for AI infra
The company announced in August that it would work with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize more than $500 billion of third-party capital for AI infrastructure. Nvidia argues that its compute can function like a productive asset, generating long-duration revenue while helping customers finance data centers and GPU clusters.
But some banks and credit investors are taking a more conservative view. Reuters reported that lenders are seeking stronger guarantees because they are not yet convinced high-end GPUs will retain enough revenue-generating value over a decade to support the debt structures Nvidia envisions.
Wall Street Values GPUs More Conservatively
The core disagreement is about useful life.
Nvidia has argued that top-tier GPUs can remain productive for up to 10 years, particularly as software extends their usefulness across workloads. Banks, however, typically underwrite GPUs using a much shorter three-to-four-year depreciation schedule.
That gap matters because the longer a GPU is expected to generate cash flow, the easier it becomes to finance the asset cheaply.
The financing debate follows a broader shift toward AI infrastructure funded increasingly through debt, as cloud operators and data-center developers borrow billions before new capacity starts generating revenue.
<iframe src=”https://widgets.coincodex.com/w/aba45114-2e2a-4d71-a671-6385b443cd52?site=coinpaper&mode=light” width=”100%” height=”420” frameborder=”0” referrerpolicy=”no-referrer-when-downgrade” style=”border:0;background:transparent;border-radius:0px;”></iframe>Guarantees Could Decide Whether the Model Scales
Nvidia originally envisioned chip-backed financing with limited residual-value support, in some cases capped around 25%. Lenders are now pushing for more protection.
Some structures under consideration could include Nvidia guarantees or long-term revenue contracts from investment-grade customers. That mirrors existing deals such as CoreWeave’s $8.5 billion GPU-backed loan, where Meta’s contractual payments helped support the debt rating.
The question is increasingly important because GPUs are already being used as collateral across the AI cloud market, putting their residual value directly into credit models.
A separate $300 billion wave of AI guarantees also shows how technology companies are increasingly absorbing some of the financing risk behind the infrastructure boom.