Meta overhauls blob storage to cut GPU stalls across exabyte-scale clusters
Meta_Engineers · x · 2026-07-23
Meta says AI compute performance has roughly tripled every two years, while storage growth has lagged, making I/O bottlenecks a major source of GPU stalls.
To improve GPU utilization and research velocity across hundreds of exabyte-scale storage clusters, the company overhauled its BLOB storage architecture for modern AI workloads.
The post links to a technical deep dive and the image emphasizes data flowing through a redesigned storage layer.
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