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Meta Secures Tens of Millions of AWS Graviton5 Chips for Agentic AI

Meta partners with AWS to deploy tens of millions of Graviton5 processors, boosting performance and efficiency for next‑gen agentic AI.

Alex Mercer/3 min/NG

Senior Tech Correspondent

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Meta will use tens of millions of AWS Graviton5 chips, each with 192 cores, to power its next‑generation agentic AI.

Context Meta announced a partnership with Amazon Web Services to source a massive fleet of Graviton5 processors. The deal marks a shift from GPU‑centric AI training to CPU‑heavy workloads required by agentic AI—software that can plan, reason, and act autonomously for users.

Key Facts - The agreement covers tens of millions of Graviton5 chips, Amazon’s latest ARM‑based server processor. - Each chip packs 192 cores and a cache five times larger than the previous generation, cutting core response time by up to 33 %. - Built on a 3‑nanometer manufacturing process, the chips deliver up to 25 % better infrastructure performance while using less power. - The processors run on AWS’s Nitro system, which provides dedicated hardware and software for high performance, availability, and security. Integrated technologies such as Elastic Network Adapter, Elastic Block Store, and Elastic Fabric Adapter enable low‑latency, high‑capacity connections across virtual environments.

What It Means The scale of the deployment suggests Meta is preparing AI models that require continuous, multi‑step processing—tasks like code generation, complex search, and coordinated decision‑making. The larger cache and faster core response reduce data‑processing bottlenecks, while the 3‑nm design improves energy efficiency, aligning with Meta’s sustainability goals.

By moving to a CPU‑centric architecture, Meta can lower reliance on expensive GPUs and benefit from the Nitro system’s security isolation, crucial for protecting user data in large‑scale AI services. The high‑speed interconnects offered by Elastic Fabric Adapter will allow Meta to distribute workloads across many processors, maintaining low latency as the AI scales.

The partnership also signals AWS’s growing role in AI infrastructure, positioning Graviton5 as a viable alternative to traditional GPU clusters for certain workloads. As Meta rolls out its agentic AI features, the performance gains from Graviton5 could translate into faster response times and more reliable user experiences.

Looking Ahead Watch for Meta’s first public demonstrations of agentic AI powered by Graviton5 and for any follow‑up announcements on how the chip fleet will be integrated into Meta’s data centers worldwide.

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