Meta has signed an agreement to deploy AWS Graviton processors at scale. The deal marks a significant expansion of a long-standing partnership between the two companies as Meta builds its next generation of AI. The deployment starts with tens of millions of Graviton cores, with the flexibility to expand as Meta's AI capabilities grow.
Meta deploys tens of millions of AWS Graviton cores with potential to expand.
Meta becomes one of the largest Graviton customers in the world.
Graviton5 purpose-built for CPU-intensive agentic AI workloads.
Chips will power real-time reasoning, code generation, search, and multi-step task orchestration.
Builds on long-standing Meta-AWS relationship and use of Amazon Bedrock.
Agentic AI creates massive demand for CPU infrastructure alongside GPUs.
The deal reflects a shift in how AI infrastructure gets built: while GPUs remain essential for training large models, the rise of agentic AI is creating massive demand for CPU-intensive workloads—real-time reasoning, code generation, search, and orchestrating multi-step tasks. Graviton5 is purpose-built for these workloads, giving Meta the processing power to run them efficiently at scale. The chips will power various workloads at Meta, including supporting the company's AI efforts. That work requires infrastructure that can handle billions of interactions while coordinating complex, multi-step agent workflows—exactly the kind of CPU-intensive work Graviton is designed for.
The deal builds on Meta's long-standing AWS relationship and use of Amazon Bedrock at scale to support its next generation of AI. Meta is now one of the largest Graviton customers in the world, reflecting the growing importance of CPU infrastructure for agentic AI deployment at scale.
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