Nvidia partners with AI clouds to unlock large-scale AI compute

Nvidia just changed the economics of building AI infrastructure. The company announced a new partnership framework with specialized AI cloud providers, combining revenue-sharing arrangements with credit support to accelerate the construction of what it calls “AI factories,” massive data centers optimized for continuous AI workloads.

Think of it like a franchise model for compute. Nvidia provides the hardware and brand ecosystem, cloud partners provide the real estate and energy, and both sides split the upside. Nvidia still collects its standard hardware revenue on top of a cut from cloud service revenues tied to supported capacities.

The scale is staggering

Among the initial collaborators, Sharon AI is projected to deploy up to 40,000 Nvidia Grace Blackwell GB300 GPUs. That’s not a small pilot. That’s a serious commitment to next-generation silicon at production scale.

Then there’s Firmus, which is expanding its campus in Batam, Indonesia to accommodate 360 MW of energy and up to 170,000 Nvidia GPUs.

The initiative falls under Nvidia’s broader Cloud Partners (NCP) ecosystem, which has seen its collective partner footprint double on a year-over-year basis.

The supporting ecosystem includes AI-native companies like Baseten, Fireworks AI, and Together AI, all of which are building platforms that require enormous amounts of GPU compute to function.

A pattern of infrastructure empire-building

In March 2026, the company invested $2B in Nebius, a cloud platform spun out of the Russian tech giant Yandex. That deal gave Nvidia a direct financial stake in one of Europe’s fastest-growing AI cloud providers.

Before that, in November 2025, Nvidia struck a $1.2B deal with Deutsche Telekom, Europe’s largest telecommunications company.

Now the company is pushing into regions like Africa and South America, areas where AI infrastructure is still nascent but energy resources and demand are growing rapidly.

The revenue-sharing model is the key innovation here. Traditionally, hardware companies sell chips and move on. Nvidia is maintaining a financial relationship with its hardware long after it ships. Every GPU deployed in a partner’s AI factory becomes a recurring revenue stream, not just a one-time sale.

What this means for crypto and AI investors

For traditional investors, the revenue-sharing model changes how you think about Nvidia’s valuation. The company is transitioning from a cyclical hardware business into something closer to a platform company with recurring revenue.

The NCP footprint doubling annually suggests Nvidia believes demand will continue to outstrip supply for the foreseeable future. If that assumption holds, the company’s strategy of embedding itself into the revenue stack of every major AI cloud provider could make it one of the most durable technology franchises of the decade. If demand softens, Nvidia will be left holding financial exposure to a network of data centers that suddenly have too many GPUs and not enough customers.

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