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AI training data storage: Nearline SAS vs. Flash

By PulseAugur Editorial · [1 sources] ·

A hot take suggests that AI training corpora do not require storage on flash memory, as they are primarily read-once-per-epoch sequential I/O. Nearline SAS storage is proposed as a more cost-effective solution for this data. The argument posits that only checkpoint directories and hot indexes truly benefit from flash storage, and splitting storage tiers could reduce costs significantly without impacting training speed. AI

IMPACT Suggests cost-saving strategies for AI infrastructure by optimizing storage tiers.

RANK_REASON Opinion piece on AI infrastructure and storage strategy.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI training data storage: Nearline SAS vs. Flash

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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Hot take: your training corpus doesn't need to live on flash. It's read-once-per-epoch sequential I/O — nearline SAS chews through it; what actually needs the A

    Hot take: your training corpus doesn't need to live on flash. It's read-once-per-epoch sequential I/O — nearline SAS chews through it; what actually needs the AFF is the checkpoint dir and the hot index. Split the tiers and your $/GB drops ~10x without the run slowing down. # Net…

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