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Meta and Arm boost AI efficiency on Arm chips, cutting power and supporting major data center expansion.
Meta and Arm have teamed up to optimize Meta’s AI software, including PyTorch and FBGEMM, for Arm-based data center systems like Nvidia’s Grace CPUs, boosting performance and reducing power use.
The collaboration enhances AI inference efficiency using Arm’s Neoverse architecture and technologies like KleidiAI, supporting Meta’s shift from x86 to Arm infrastructure.
The effort, part of a broader industry move toward energy-efficient AI, includes open-source contributions and supports Meta’s $1.5 billion Texas data center expansion.
Arm’s datacenter market share rose to 25% in Q2 2025, reflecting growing adoption of its chips in AI workloads.
Meta y Arm aumentan la eficiencia de la IA en los chips Arm, reduciendo la energía y apoyando la expansión de los principales centros de datos.