Nvidia is seeking to establish a $500 billion financing framework backed by its artificial intelligence chips, a plan that has prompted debate among Wall Street lenders regarding the long-term value of the hardware. The initiative, announced in August 2026 alongside partners including Blackstone, Apollo, and KKR, aims to use specialized graphics processing units (GPUs) as collateral for loans. According to banking sources and credit managers, some lenders are requesting higher guarantees than originally proposed as they assess the durability of the chips' revenue streams.
The financing strategy is intended to provide AI developers with access to Nvidia’s computing power by treating hardware as an investable infrastructure asset, similar to aircraft leasing. Nvidia Chief Executive Jensen Huang stated in an August blog post that the initiative seeks to address concerns regarding circular financing—where a company finances the purchase of its own products—by introducing independent institutional capital. Nvidia has suggested that some deals could include a residual value guarantee of up to 25%.
A central point of contention involves the projected lifespan of the chips. Huang has stated that Nvidia’s GPUs have a useful life of up to 10 years, supported by a valuation from the firm Barkr regarding the company’s GB300 NVL72 systems. However, banking sources told Reuters that lenders typically underwrite GPUs using a three-to-four-year depreciation schedule. Financial institutions including S&P Global Ratings and Impax Asset Management noted that a lack of historical data makes it difficult to confidently underwrite long-term residual value for these assets.
A person at an AI startup or a technology firm seeking to expand infrastructure would notice the impact through the availability and cost of "compute" access. If Wall Street demands stronger guarantees, these companies may need to secure their debt with revenue streams from investment-grade customers, such as Meta or other large technology firms, rather than relying solely on the hardware itself. This shift would mirror recent deals like CoreWeave’s $8.5 billion GPU-backed loan, which achieved an investment-grade rating primarily because it was backed by contractual payments from Meta.
The success or failure of Nvidia's model will set a precedent for how computing hardware is valued in global credit markets. If the market does not accept GPUs as durable collateral akin to aircraft, it may limit the "deep new pools of capital" available for the broader AI boom. For now, tens of billions of dollars in loan deals remain in the pipeline with structures being explored to provide lenders with expanded guarantees. Precise dates for the finalization of these pending deals were not reported.