# Meta — Meta’s AI Storage Blueprint at Scale

- Company: Meta (meta.com)
- Announced: 2026-07-01T16:00:36+00:00
- Category: infrastructure-release
- Subject: Llama / infrastructure
- Source: https://engineering.fb.com/2026/07/01/data-infrastructure/metas-ai-storage-blueprint-at-scale/
- Record: https://forck.live/items/1423-meta-s-ai-storage-blueprint-at-scale

Meta describes the evolution of its BLOB-storage architecture to support AI workloads, focusing on maximizing GPU utilization and research velocity, with a migration from legacy HDD-based to flash-based storage and a simplified metadata path to reduce latency and stalls.

## Evidence

Verbatim from https://engineering.fb.com/2026/07/01/data-infrastructure/metas-ai-storage-blueprint-at-scale/:

> In this blog post, we discuss how Meta’s BLOB-storage architecture evolved to address two primary challenges: maximizing GPU utilization and maximizing research velocity.

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Record: https://forck.live/items/1423-meta-s-ai-storage-blueprint-at-scale
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md
