Nvidia's $50 Billion Third-Party Financing Platform Eases Analyst Concerns Over Circular Trading
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Nvidia has partnered with Apollo, Blackstone, Goldman Sachs and three other firms to create an over $500 billion independent compute-financing platform, shifting AI-infrastructure capital risk off its own balance sheet — a move Wall Street analysts say should ease long-standing concerns about circular transactions.
What is the "circular deal" worry, and why does it matter?
Some investors have long suspected a loop: Nvidia finances a customer, and that customer uses the money to buy Nvidia chips — potentially inflating reported revenue.
In plain terms = the seller lends money to the buyer, the buyer pays it right back as a purchase — the top line grows, but the cash just went in a circle.
This suspicion has weighed on Nvidia's valuation as one of the market's core doubts about the quality of its revenue.
How does the new platform actually work?
Nvidia announced a strategic partnership with six institutions — including Apollo Global Management, Blackstone, and Goldman Sachs — to form an "independent compute financing" facility totalling over $500 billion.
The key shift: capital needed for AI infrastructure no longer sits on Nvidia's own balance sheet — it moves to a third-party consortium.
CEO Jensen Huang said on social media that Nvidia may take up to 25% of any single deal on a case-by-case basis. This means → the bulk of capital risk falls on external institutions, and Nvidia's role moves from "financier" to "technology-platform provider."
What are Wall Street analysts saying?
Morgan Stanley analyst Joseph Moore noted that Nvidia relies mainly on third-party capital to invest in AI factories, which "should alleviate circularity concerns to some extent." He stressed that established third-party investors lead the decisions, helping dispel fears that deals are "purely driven by circular motives."
Bank of America analyst Vivek Arya took a similar view, calling it structurally positive because "the burden is borne by the consortium," not by the company's balance sheet.
Yet Arya added a caveat: actual transactions under the new framework still require real money from real customers — shifting risk is not the same as eliminating it.
Why do GPU residual values and the CUDA moat matter here?
Arya argued that for compute to work as an "investable asset," its residual value must stay stable.
Nvidia's GPUs meet that bar: they are usable across AI developers, not locked to one customer. CUDA — Nvidia's GPU programming software ecosystem — extends each chip's useful life.
This means → GPUs hold their resale and leasing prices on the secondary market, giving third-party investors confidence to treat compute as a holdable asset. In plain terms = chips that don't depreciate like smartphones are chips investors will fund.
What risks remain unresolved?
Moore flagged Nvidia's credit backing for emerging cloud providers and sovereign AI projects as "the next big controversy for the stock," calling it a potential credit risk.
Arya noted that vendor-financing activity is currently eroding Nvidia's free cash flow — capital he said "could be better deployed into meaningfully undervalued equities."
Nvidia's earnings call later this month will be the key window for Wall Street to get guidance on the scale and pace of vendor financing. This reflects that the market's real concern is not the structural design itself, but how fast and transparently it materialises.
Content is for reference only, not financial advice.