NVIDIA is attempting a radical shift in how the world values graphics processing units, reclassifying them from rapidly depreciating tech hardware into investable infrastructure assets that can be mortgaged and financed like commercial real estate. On August 10, 2026, the company announced memorandums of understanding with six major asset management firms,Apollo Global Management, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR,to establish a "compute financing platform" targeting over $500 billion in third-party capital to support AI data centers, chip manufacturing facilities, and associated power infrastructure.

This move represents a fundamental reimagining of GPU economics. Traditionally, semiconductor chips have been viewed as technology assets that lose value quickly as newer models emerge. NVIDIA's argument hinges on a different premise: GPUs generate long-term, predictable cash flows similar to toll roads or apartment buildings, and because they're widely adopted across cloud providers and continuously benefit from software improvements through NVIDIA's CUDA ecosystem, their useful lifespan can extend far longer than previous generations.

"This is truly the first time that technology chips have become an investable asset class," declared Jensen Huang, founder and CEO of NVIDIA.

Jensen Huang, Founder and CEO at NVIDIA

Why Is GPU Depreciation Such a Challenge for This Plan?

The core problem NVIDIA faces is that GPU value doesn't decline gradually like physical assets. Instead, it drops sharply when new chip generations arrive. According to industry research firm Silicon Data and GPU trading platform GPUSmith, the H100 GPU sold for approximately $40,000 at the end of 2023, but by mid-2026 its secondhand market price had collapsed to between $12,000 and $22,000, with some auction prices falling as low as $8,200. This cliff-like revaluation, rather than linear wear-and-tear depreciation, represents the greatest technical challenge in transforming GPUs into traditional collateral.

To address creditor concerns about this volatility, NVIDIA has proposed a residual value guarantee of up to 25% for certain financing transactions. This means if the actual residual value of chips at loan maturity falls below expectations, NVIDIA will cover up to 25% of the shortfall, with the exact percentage assessed on a case-by-case basis. However, this guarantee mechanism has not fully stabilized market sentiment. According to ICE Data Services, NVIDIA's five-year credit default swap spread surged 14 basis points in a single day on July 27 to a peak of 82 basis points, marking the largest intraday gain since the contract began active trading in November 2025.

How Are Exchanges Building a Pricing Infrastructure for GPU Computing Power?

For an asset to be accepted as eligible collateral on a bank's balance sheet, it typically must meet three criteria: relatively stable value, a mature secondary market, and an authoritative pricing benchmark. A single physical GPU struggles to satisfy all three, which is why major exchanges are entering the space intensively. On May 12, 2026, CME Group and GPU market data company Silicon Data announced plans to launch the first-ever compute futures contracts. On August 11, the two parties clarified that they will introduce two futures contracts on October 5: the Silicon Data H100 Rental Index Futures and the Silicon Data B200 Rental Index Futures, which will track the hourly rental index for H100 and the next-generation Blackwell GPUs.

This development is part of a broader global transformation. Shanghai's municipal government issued a document on June 2 explicitly calling for preparations to develop compute power futures, building on spot trading that has been operational on the Shanghai Compute Power Trading Platform since 2023. The convergence of these initiatives signals that computing power is transitioning from an IT resource used via leasing into a financial asset that can be priced, traded, hedged, and pledged on public markets.

Steps to Understanding GPU Financialization and Its Market Impact

• Collateral Transformation: NVIDIA is repositioning GPUs from depreciating tech hardware into infrastructure assets with long-term cash flows, enabling them to be mortgaged and financed through partnerships with major asset managers like BlackRock and Goldman Sachs.
• Futures Market Launch: CME Group and ICE are establishing standardized pricing benchmarks through GPU compute futures contracts launching October 5, 2026, which will allow investors to hedge and trade computing power like oil or other commodities.
• Global Coordination: Shanghai's compute power trading platform and government policy documents indicate simultaneous worldwide adoption of GPU financialization, suggesting this is becoming a systemic shift rather than an isolated initiative.
• Residual Value Risk: NVIDIA's 25% residual value guarantee addresses the core technical challenge of GPU depreciation cliffs, but credit markets remain cautious, with CDS spreads widening to 77.5 basis points on the announcement date.

What Does This Mean for the Future of AI Infrastructure Investment?

The financialization of GPU computing power could fundamentally reshape how AI infrastructure is funded and deployed globally. By converting chips into collateralizable assets, NVIDIA is attempting to unlock trillions of dollars in capital that previously couldn't flow into semiconductor infrastructure. This mirrors how the petrodollar emerged half a century ago, creating a new monetary narrative around a critical resource.

However, the success of this experiment depends on whether GPU value can stabilize enough to satisfy traditional banking criteria. The credit market's cautious response suggests investors remain skeptical about whether a 25% residual value guarantee is sufficient protection against the unpredictable pace of chip iteration. As CME and ICE establish standardized pricing benchmarks through futures contracts, the market will gain better visibility into GPU value trajectories, potentially validating or challenging NVIDIA's core thesis that computing power can function as long-term collateral.

For enterprises and developers, this shift could democratize access to AI infrastructure by making it easier for cloud providers and data center operators to finance GPU deployments. Nebius, a leading AI cloud provider, is already planning to integrate NVIDIA's latest Groq 3 LPX inference accelerator into its production platform, demonstrating how these financial innovations are enabling faster deployment of cutting-edge computing infrastructure.