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

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.