Goldman Sachs leads the bridge institution capital, NVIDIA's $500 billion AI infrastructure financing kicks off: from "selling chips" to "selling assets"

According to Zhitong Finance APP, in the context of the global wave of generative AI, computing power infrastructure is transforming from a "cost center" for technology companies into one of the most attractive "asset classes." NVIDIA (NVDA.US), with its GPUs at the core, is attempting to leverage an unprecedented capital movement—a $500 billion AI infrastructure financing plan is accelerating, with Goldman Sachs playing a key "bridge-builder" role.

On August 10, NVIDIA announced the establishment of strategic partnerships with top global institutions including Apollo Global Management, BlackRock, Blackstone, Brookfield Asset Management, Goldman Sachs, and KKR to jointly set up an independent financing platform. The core goal of this plan is clear: to create a new, investable asset class powered by NVIDIA's AI infrastructure, gradually shifting the financing subject from technology companies themselves to a broader base of institutional investors.

According to previously disclosed information, NVIDIA may provide up to $125 billion in funding support for potential transactions, accounting for about 25% of the total scale, serving as a "safety cushion" to attract more third-party capital.

Goldman Sachs: From "Subordinated Capital" to Full-Chain Service in the Public Debt Market

According to informed sources, Goldman Sachs is actively negotiating with potential investors to participate in this financing plan. As one of the six founding partners of the plan, Goldman Sachs' role goes far beyond client referrals.

Reports indicate that Goldman Sachs can provide subordinated capital and private credit financing through its asset management business, while its investment banking department will assist in allocating debt instruments to private credit funds and ultimately connecting them to the public debt market. This means Goldman Sachs is building a complete financing chain from private to public, from equity to debt, and from subordinated to senior.

In terms of investor structure, U.S. insurance companies, asset management institutions, and banks are expected to form the core investor base for this plan, with asset management companies likely holding a significant proportion of the shares. Goldman Sachs has conducted extensive communication with various investors, including banks, asset management companies, insurance companies, and private credit institutions regarding such structures.

NVIDIA's "Light Asset" Transformation and Ecological Moat

The strategic significance of this financing plan cannot be underestimated. For NVIDIA, introducing third-party capital to build AI infrastructure can alleviate its capital expenditure pressure and further consolidate its dominance in the computing power market with CUDA ecosystems and GPUs—whoever invests in building data centers centered around NVIDIA chips is more likely to be long-term bound to NVIDIA's technology roadmap.

For institutional investors, AI infrastructure is being viewed as another core asset in the "super cycle" following the internet and mobile internet. Hardware assets such as data centers, computing clusters, and high-speed interconnected networks possess stable cash flow attributes, complementing the high volatility of tech stocks, which aligns with the allocation needs of long-term capital such as insurance funds and pensions A financing scale of $500 billion is unprecedented in the field of infrastructure investment. If the plan proceeds smoothly, it will greatly accelerate the pace of global AI computing power deployment and reshape the ownership structure of data center investments. However, challenges also exist: the investment return cycle of AI infrastructure, energy consumption constraints, technology iteration risks, and concerns about potential computing power oversupply may all affect the final decisions of institutional investors