'A disk in a planet-scale computer': Meta has so many expensive GPUs that it's buying SSDs to kill idle time

TechRadar
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Meta revamped its storage architecture to reduce delays caused by slow data access that stalled expensive AI GPUs. By implementing SSD caching, a unified metadata schema, and placing storage closer to GPU clusters, Meta cut AI dataset loading times from hours to minutes, improving GPU utilization and accelerating AI research.

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