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  1. Meta’s EB-Scale AI Storage Architecture

    A report on Meta’s “Meta’s AI Storage Blueprint at Scale” examines its BLOB Storage architecture for AI training, including simplified metadata, direct client I/O, and multi-tier caching. It also compares Meta’s design with JuiceFS, which the report promotes. Meta’s reported 80% cache-hit rate and 93% average and 97% worst-case reductions in data-loading time were not independently verified in the supplied material.

    掘金 · 人工智能 · 🔥 0

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