How Nvidia Tried to Profit Twice From Every Chip Sale—and Why It Backfired
Nvidia announced a program to collect revenue on the same chip twice, once at sale and again through ongoing cloud profits, then paused it weeks later after internal warnings about antitrust exposure. The retreat raises a question the market has…
NVIDIA’s (NASDAQ:NVDA | NVDA Price Prediction) $96.22 billion quarter and 105.85% revenue growth would normally end the conversation. Instead, management disclosed a plan to earn a second time on every chip sold to smaller cloud providers. Days later, parts of the initiative had been paused less than two months after its announcement, with some employees warning internally about potential antitrust scrutiny.
NVIDIA still runs the most profitable franchise in semiconductors, but the speed of the retreat is the story worth examining.
How the Same Chip Was Supposed to Pay Twice
The mechanism is unusual. NVIDIA would guarantee or rent unused capacity from a smaller cloud provider, which gave lenders the certainty needed to finance the hardware purchase.
CFO Colette Kress described it directly on the call: “NVIDIA provides a take or pay commitment on a portion of the facility’s capacity, a minimum revenue guarantee that gives lenders the confidence to underwrite the project, and in exchange, we share in a portion of the Neocloud’s revenue earned above that floor.”
Above the guaranteed floor, NVIDIA would collect 50% of cloud revenue. Management summarized the economics without euphemism: “In this model, we get paid twice, once on the hardware sale and again through the share of rental revenue.”
A capital-starved cloud provider gets financeable, NVIDIA books the sale, and then rides the utilization curve on hardware it already sold. The structure effectively converts a one-time transaction into a recurring revenue stream tied to compute usage, without requiring NVIDIA to operate the infrastructure itself.
Why the Math Was Too Good to Ignore
NVIDIA does not need this program to justify its $5.25 trillion market cap. Data Center revenue was $89.023 billion last quarter, up 117%.
But the second revenue stream would layer recurring economics onto a transactional business. Management said it could “drive billions in revenue over the medium to long term.”
It also unlocks a customer tier that hyperscalers cannot serve. Jensen Huang argued the non-hyperscaler market is “half of the picture” and largely invisible to investors.
NVIDIA’s $108.5 billion in guarantee obligations and a partnership with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to mobilize over $500 billion in third-party capital show the scale of ambition. Kress said balance-sheet-supported labs would account for “roughly a quarter of our business next year.”
Where the Antitrust Problem Starts
The problem is control. If NVIDIA decides which providers get guaranteed capacity, it also decides which providers can borrow, build, and compete.
Management preempted the criticism: “We recognize the scale of this support, and we know some will call this circular financing. We see it differently.”
Seeing it differently is not the same as regulators seeing it differently. Internal warnings about antitrust exposure preceded any external agency review, which is telling.
Huang leaned on fungibility as the risk answer: “The NVIDIA Compute platform is fungible and durable and can be redeployed to support other customers.”
That defends NVIDIA’s downside but does not defend against the argument that the company is picking winners in the downstream compute market it already dominates on the supply side. Regulators tend to focus on gatekeeping power rather than on whether the gatekeeper can find alternative buyers, and that distinction is where the program becomes vulnerable.
What the Pause Actually Signals
Pausing a program within weeks of announcing it is the kind of decision a legal team forces on a strategy team. The initiative is not dead. It could be redesigned, narrowed, or folded into the broader third-party capital platform.
Shares closed at $217.55, up 14.49% over the past month. Analysts have an average target of $305.79, with 48 buy ratings and 2 holds.
The market is not pricing regulatory risk here, which is itself a position worth questioning at 26x forward earnings. Riding an AI rally is fine as long as you have thought through the exit, and we made the case for both halves in a free bubble survivor’s handbook.
NVIDIA found a genuinely clever way to unlock demand that would not otherwise exist, but the design pushed control one step further than a dominant supplier can comfortably go. Watch whether the revenue-share language returns in narrower form, or whether the $500 billion third-party capital vehicle quietly absorbs what the direct guarantees were meant to do.
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Omor Ibne Ehsan is a writer at 24/7 Wall St. He is a self-taught investor with a focus on growth and cyclical stocks that have strong fundamentals, value, and long-term potential. He also has an interest in high-risk, high-reward investments such as cryptocurrencies and penny stocks.
