Nvidia has suspended parts of a recently introduced financing program for artificial-intelligence cloud providers, a retreat that underscores the growing regulatory and investor scrutiny surrounding the chipmaker’s expanding influence across the AI industry.
The company pulled back from some transactions under its AI Compute Partnership Program less than two months after the initiative was introduced, according to BigGo Finance, which cited media reports and people familiar with the matter. The program offered financial support to cloud operators purchasing Nvidia hardware while giving the chipmaker a share of revenue generated from that computing capacity.
The precise reason for the suspension remains unclear, and the initiative could eventually be restructured or incorporated into other programs. Nvidia has maintained that the broader business model remains active and is evolving as demand for AI computing increases.
The pullback comes as Nvidia’s efforts to finance the expansion of its own customer base attract greater attention. Some employees had raised concerns with current and prospective customers that the arrangement could invite antitrust scrutiny, BigGo Finance reported. Potential partners also objected to restrictions Nvidia sought to impose on how they rented out computing capacity.
Under the initial proposal, Nvidia could receive 50% of revenue above a specified threshold from cloud providers operating systems built with its chips, according to the report. Early participants included Sharon AI and Firmus Technologies. Nvidia also offered to lease unused GPU capacity if providers were unable to secure other customers, effectively giving infrastructure operators a backstop that could make financing data-center construction easier to obtain.
The structure was intended to address a central problem confronting smaller AI cloud companies: They often must commit billions of dollars to chips and data centers before they have enough customer contracts to support conventional financing. Nvidia’s guarantees and credit support could reduce that risk while accelerating deployment of infrastructure built around its processors.
But the arrangement also places Nvidia in multiple roles within the same market. The company can sell the chips, help customers finance purchases and potentially participate in the revenue those customers generate. That combination has intensified questions about what some investors and analysts describe as circular financing within the AI industry, according to BigGo Finance.
Those concerns have grown as Nvidia increasingly uses its balance sheet and relationships with financial institutions to support AI infrastructure development. BigGo Finance reported that Nvidia recently joined Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR in an initiative targeting more than $500 billion of third-party capital for AI infrastructure. The publication also said Nvidia has offered guarantees of as much as $105 billion connected with OpenAI’s data-center leasing plans.
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The financing debate is unfolding against a backdrop of extraordinary growth in Nvidia’s core business.
The chipmaker reported quarterly revenue of $96.22 billion, a 106% increase from a year earlier and above market expectations of $92.17 billion, according to BigGo Finance. Data-center sales reached $89 billion, rising 117%. Nvidia projected about $108 billion in revenue for the following quarter and indicated growth of roughly 70% for the next fiscal year, compared with analyst expectations of about 45% cited by the publication.
The outlook also benefited Taiwan Semiconductor Manufacturing Co., Nvidia’s primary manufacturing partner for advanced chips. TSMC’s American depositary receipts rose 2.31% on Thursday to $427.30, according to BigGo Finance. Nvidia’s Blackwell processors and forthcoming Rubin platform rely heavily on TSMC’s advanced manufacturing and packaging capabilities, tying the foundry’s prospects closely to continued investment in AI infrastructure.
Investors are now weighing those rapid growth rates against the financial structures being used to sustain the AI buildout. Before Nvidia’s earnings announcement, options markets implied a roughly 5.4% move in the shares following the report, below the 6.5% expected ahead of its previous quarterly results and its 7.4% average over the preceding 12 quarters, BigGo Finance reported.
The broader question is whether spending by cloud providers and AI developers can continue at its current pace without becoming increasingly dependent on financing from the companies that stand to benefit from that spending.
For Nvidia, the challenge is particularly acute. Its dominance in AI accelerators has given the company an opportunity to extend its reach beyond semiconductor sales and into the financing of the infrastructure that uses its products. The suspension of parts of the revenue-sharing program suggests that expansion may encounter limits as customers, investors and regulators examine how much influence one supplier should exercise across the AI computing ecosystem.
Source: BigGo Finance
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