Engineering at Meta(@Meta_Engineers):AI compute performance has roughly tripled every two years, but storage growth remains modest, making I/O bottlenecks a primary cause of GPU stalls. To maximize GPU utilization and research velocity across hundreds of exabyte-scale storage clusters, we overhauled Meta’s BLOB-storage architecture specifically for modern AI workloads. Read a full technical deep dive:

Engineering at Meta

@Meta_Engineers

Engineering at Meta is a technical news resource for engineers interested in how we solve large-scale technical challenges at Meta.

Joined August 2009

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Engineering at Meta@Meta_Engineers

2026.07.22 19:43

AI compute performance has roughly tripled every two years, but storage growth remains modest, making I/O bottlenecks a primary cause of GPU stalls. To maximize GPU utilization and research velocity across hundreds of exabyte-scale storage clusters, we overhauled Meta’s BLOB-storage architecture specifically for modern AI workloads. Read a full technical deep dive: