Nvidia Reportedly Turns To Insurers To De-Risk AI Chip Loans As Jensen Huang Pushes Beyond Big Tech — Could This Unlock Billions For Smaller Cloud Players?

Nvidia Corp. (NASDAQ:NVDA) has reportedly held talks with insurance companies about shifting risk tied to loans backed by its AI chips, as CEO Jensen Huang pushes to make GPU infrastructure easier to finance beyond Big Tech buyers. Nvidia Explores Insurance For AI Chip Loans According to a report by the Financial Times on Tuesday, one structure under discussion would insure lenders if smaller cloud operators, or "neoclouds," default and the Nvidia chips pledged as collateral cannot be resold for enough to cover the loan. The talks remain preliminary and may not produce deals. Nvidia has also shared chip-depreciation and future compute-price data with at least one insurer, the FT reported. Nvidia Builds Broader AI Financing Network The effort extends Nvidia’s push to turn compute into an "investable asset class." In August, Nvidia partnered with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR on platforms designed to mobilize more than $500 billion of third-party capital for AI infrastructure. "We began by building chips; today, we are helping create a new class of productive, investable infrastructure: AI factories," Huang said then. Read Also: Pope Leo XIV Slams Nvidia CEO Jensen Huang Over His No-Government AI Regulation Stance: 'He’s The Same One…' Nvidia’s filings say access to capital can constrain less-capitalized AI clouds and model makers. According to an SEC filing from July 26, Nvidia had $36 billion in typically six-year cloud-service commitments to help selected AI-cloud partners deploy more infrastructure. It also reserved the option to provide limited residual-value support on individual projects. Goldman Sachs has separately sought investors for the $500 billion financing push, with Reuters reporting that potential participants included insurers, asset managers and private-credit firms. Nvidia has agreed to provide up to $105 billion in guarantees supporting land, power and shell buildout for an Ohio data center leased by an OpenAI affiliate. Chip Values Could Determine Lending Appetite That strategy has drawn scrutiny over GPU collateral values as chips evolve rapidly. Nvidia argues CUDA software can extend hardware productivity and systems can move among customers and workloads. Huang noted in August that its A100, introduced in 2020, remains commercially active six years later. The insurance proposal could transfer some default and depreciation risk away from lenders and open more capital to neoclouds. Nvidia told the FT that its AI infrastructure is "uniquely productive, durable and fungible," as the company works to broaden compute access beyond customers with Big Tech-sized balance sheets. Price Action: NVDA shares were trading 0.88% higher at $230.87 in pre-market trading on Tuesday. Read Also: Nvidia’s AI Boom Has a Hidden Dependency: One Dutch Company Photo courtesy: Shutterstock