Nvidia to Back AI Infrastructure Projects with 25% Residual Value Support

Nvidia CEO Jensen Huang has unveiled a strategic initiative to transform artificial intelligence computing power into a standalone investable asset class, backed by a residual value support mechanism of up to 25%. In collaboration with six major Wall Street asset management firms, the chipmaker aims to mobilize over $500 billion in third-party capital to fund the global build-out of "AI factories." The move is designed to address market concerns regarding "circular financing" and the long-term credit risks associated with massive investments in GPU infrastructure.

Institutional Support for the Tokenomics Vision

The project, which aligns with Huang’s "tokenomics" vision where compute is treated as a revenue-generating commodity, involves a partnership with BlackRock, Blackstone, Apollo Global Management, KKR, Goldman Sachs, and Brookfield Asset Management. These institutions will independently underwrite and evaluate AI infrastructure projects, assessing factors such as customer demand, equipment utilization, and cash flow.

To mitigate investor risk, Nvidia has committed to providing residual value support for individual projects on a case-by-case basis. This support is intended to act as a secondary safety net rather than a primary guarantee, complementing the independent due diligence performed by the financial partners. According to the company, the high fungibility and software-upgradable nature of the Blackwell and future Rubin architectures allow these assets to be redeployed across different customers, preserving their market value over time.

Mitigating Risks of Circular Financing

The announcement follows increased scrutiny from market analysts and the Bank for International Settlements (BIS) regarding the rise of off-balance-sheet debt and the potential for "circular financing" within the tech sector. Skeptics have raised questions about whether hardware providers are indirectly funding their own customers to sustain record-breaking revenue growth.

"This is the first time in some 60 years that the computing industry is going through a fundamental platform shift. AI factories are becoming financeable, productive infrastructure with repeatable platforms and long-term institutional capital." — Jensen Huang, Nvidia CEO.

By shifting the lending burden to a consortium of private capital partners, Nvidia aims to preserve its balance sheet while ensuring that GPU-based computing—which Huang describes as the "new digital atoms"—maintains its status as a liquid and durable asset.

• The initiative targets a total capital mobilization of over $500 billion.
• Residual value support is capped at 25% for qualified individual projects.
• Financial institutions will conduct independent underwriting to ensure credit quality.
• The focus is on large-scale AI factories encompassing GPUs, networking, and software frameworks.

The introduction of this support mechanism has led to a stabilization of market sentiment, as it provides a clearer framework for how hardware investments can be managed as long-term financial instruments. As the industry moves toward the production phase of AI, the ability to treat computational power as a standardized, financeable asset may define the next decade of infrastructure development across the global blockchain and technology ecosystems.