• Meta locks in the deal extending AI cloud capacity to 2032
  • Deal builds on $14bn 2025 contract, total partnership value exceeds $35bn

What happened

Meta locks in multi-year GPU cloud capacity to scale AI workloads amid intensifying competition and tightening supply of advanced compute.

Meta has signed a new $21bn agreement with CoreWeave to secure AI cloud capacity through 2032, deepening an existing partnership between the two companies.

The deal builds on a prior $14.2bn agreement signed in September 2025, bringing the total committed value of the partnership to more than $35bn.

Under the expanded contract, CoreWeave will provide dedicated AI compute infrastructure, including early deployments of Nvidia’s Vera Rubin chips, which are expected to significantly increase performance for large-scale AI workloads.

The agreement reflects Meta’s growing need for large-scale compute to support both training and inference workloads, as competition in generative AI continues to intensify.

CoreWeave, a specialist “neocloud” provider focused on GPU-intensive workloads, has rapidly become a key infrastructure partner for major AI developers.

Why it’s important

This deal highlights a rapid escalation in large-scale AI compute procurement, signalling an infrastructure arms race among big tech firms competing in generative AI. It also points to a structural shift in cloud strategy.

The scale and duration of the agreement show how AI demand is outpacing traditional cloud supply models. Rather than relying solely on in-house data centres, companies like Meta are locking in guaranteed access to scarce GPU resources. Meta’s plan to invest up to $135bn in AI infrastructure this year further underscores the urgency and scale of this buildout.

This approach reduces execution risk and accelerates deployment timelines. It also reflects a broader transition towards inference-heavy workloads, where consistent, distributed compute capacity is essential.

For CoreWeave, the deal strengthens revenue visibility and market position, while increasing exposure to capital intensity as infrastructure costs continue to rise.

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