Meta Platforms has signed new agreements to buy artificial intelligence computing capacity from data center developer Crusoe, according to people familiar with the matter, adding fresh infrastructure behind the company’s broader AI push.
The contracts cover two Crusoe data center sites, one in Childress, Texas, and another in Warrenton, Missouri, the people said. Together, the facilities are expected to provide about 1.6 gigawatts of capacity, underscoring the scale of the computing resources Meta is seeking as it builds out support for more advanced AI systems.
The arrangements were described by people who asked not to be identified because the discussions are private. Meta and Crusoe did not immediately respond to requests for comment.
The deal reflects the intense demand for large-scale computing power across the AI industry, where companies are racing to secure enough infrastructure to train and run increasingly complex models. Data center capacity has become a strategic priority for major technology companies, especially those developing generative AI products and services that require substantial processing power.
For Meta, the new agreements add to a growing set of investments aimed at supporting its artificial intelligence ambitions. The company has been working to expand the hardware and energy resources needed for its AI efforts, which have become a central focus across its platforms and product lines. Securing outside computing capacity can help large technology firms move faster than building every facility themselves.
Crusoe, which develops data centers and related infrastructure, has positioned itself to serve customers that need large blocks of power and computing capacity. The reported contracts with Meta highlight how specialized infrastructure providers are becoming more important partners for technology companies seeking rapid access to AI-ready data center resources.
The combined 1.6-gigawatt figure is notable in a sector where power availability and scale can determine how quickly companies can expand. A single gigawatt represents a substantial amount of capacity, and deals of this size suggest long-term commitments to the physical infrastructure behind AI development.
The reported agreements come as companies across the technology sector continue to invest heavily in chips, servers, and data centers to keep pace with demand for AI tools. That trend has driven renewed attention to electricity supply, land availability, and construction timelines, all of which can constrain how quickly new computing capacity comes online.
Meta has not publicly detailed the scope of these specific Crusoe contracts, and the precise financial terms were not disclosed in the material reviewed. Still, the reported capacity points to a significant addition to Meta’s infrastructure footprint and a signal that the company intends to keep scaling its AI operations.
As competition in AI intensifies, access to reliable computing power has become as important as software talent and model design. Meta’s agreements with Crusoe suggest the company is continuing to secure the resources it needs to support that competition at a large scale.