Nvidia denies pausing AI cloud commitments initiative after reported partner backlash — report claims company told cloud providers it could only lease its GPUs to Nvidia-approved customers

Nvidia on Friday denied a report by the Wall Street Journal claiming that the company had put some transactions under its recently introduced ‘take or pay’ AI Compute Partnership on hold, less than two months after unveiling the initiative in early July and days before detailing the effort in its earnings call. The transactions were reportedly paused as some partners were irritated with Nvidia’s attempts to influence their operations and because it raised internal concerns about potential antitrust scrutiny.

“The new business model we introduced in July that opens up compute access to the fast-growing AI ecosystem is still in place and continues to evolve due to high demand,” a spokesperson for Nvidia told Tom’s Hardware.

The report itself does not establish that Nvidia has abandoned the AI Compute Partnership program under which the company committed to rent capacity of newly built AI data centers as well as their minimum revenue, but claims that it put some deals on hold. Meanwhile, Nvidia’s denial indicates that the program continues to exist, but is evolving, which means changing.

Per the report, it looks like Nvidia attempted to control how its ‘AI Compute Partners’ rented their capacity. The company told some cloud providers participating in the program that they could lease its GPUs only to customers approved by Nvidia, according to the WSJ report. The company also preferred to spread available capacity across multiple smaller AI companies instead of allowing a single large customer to take most or all of it. Some cloud operators reportedly pushed back against these restrictions, arguing that they should retain control over which customers they serve. Perhaps, in turn, Nvidia put some of the deals on hold.

While Nvidia does not lend any money or directly finance AI data center buildouts (which essentially means circular financing), it provides demand commitments and guaranteed revenue levels, which perhaps raised internal concerns about potential antitrust scrutiny. As a result, Nvidia could be revising the terms of the deals it inks with partners.

$36 billion of commitments

Modern AI data centers cost billions of dollars that must be spent on the premises, infrastructure, and compute hardware well before an operator has secured enough customer contracts to finance the buildout. Meanwhile, banks or infrastructure investors want confidence that enough of the future facility capacity will actually be rented. Under the program, Nvidia intends to use its own demand commitment on a portion of the facility’s capacity in exchange for a percentage of the facility’s revenue if demand is strong. This makes financing AI data centers easier as from the lender’s perspective, part of the project’s revenue stream is effectively supported by Nvidia rather than depending entirely on the operator’s ability to find customers.

“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,” explained Colette Kress, chief financial officer of Nvidia, during the company’s earnings call. “In this model, we get paid twice, once on the hardware sale, and again through the share of rental revenue, a highly recurring stream layered on top of a one-time equipment purchase.”

While actual percentages and economic terms have not been disclosed, it should work pretty straightforwardly. Nvidia provides a take-or-pay commitment that it rents, say, 30% of the capacity of a newly built facility and a minimum revenue guarantee over a period of six years. If the demand is strong and the facility rents 80% of its capacity, well exceeding the minimum revenue guarantee, Nvidia does not need to absorb the guaranteed capacity, and because revenue exceeds the agreed floor, Nvidia receives a percentage of the excess revenue. If the demand is weak and the facility can only rent 20% of its capacity, running well below the guaranteed revenue level, Nvidia’s take-or-pay obligation would require it to cover the difference between actual revenue and the contracted minimum according to the specific agreement. Alternatively, Nvidia could rent back unused compute capacity for its own needs and cover the difference between the actual and guaranteed revenue level.

While at least some participants were reportedly irritated with Nvidia’s alleged control of tenants, the program has proven to be quite a success so far. As of late July, just weeks after formally announcing the program, Nvidia had committed $36 billion in these new agreements that run for six years.

“Our commitments, which are typically six years in duration, totaled $36 billion as of July 26, 2026,” an Nvidia filing with the Securities and Exchange Commission reads.

Nvidia has not disclosed which portions of monetizable capacities it typically commits, so it is impossible to figure out the value of the hardware it intends to supply under the $36 billion commitments.