English(EN) 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

AI 训练数据存储：近线 SAS 与闪存

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-31 11:16

一个热门观点认为，AI 训练语料库不需要存储在闪存上，因为它们主要是每周期只读一次的顺序 I/O。近线 SAS 存储被提议作为一种更具成本效益的数据解决方案。该论点认为，只有检查点目录和热索引真正受益于闪存存储，并且拆分存储层可以显著降低成本，而不会影响训练速度。 AI

影响通过优化存储层来提出 AI 基础设施的成本节约策略。

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-08-31 11:16

热门观点：你的训练语料库不需要存储在闪存上。它是每个 epoch 只读一次的顺序 I/O — 近线 SAS 可以轻松处理；真正需要 A 的是什么

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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报道来源 [1]

热门观点：你的训练语料库不需要存储在闪存上。它是每个 epoch 只读一次的顺序 I/O — 近线 SAS 可以轻松处理；真正需要 A 的是什么

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