Before a model can learn from data, that data must be read, decoded, shuffled and delivered at speed. Here is how AI data pipelines work and...
Large AI training runs regularly save snapshots of their progress. This explainer covers what checkpoints are, why they are essential and what they demand from storage.
AI training needs storage that can serve data to many machines at once. Parallel file systems do that by spreading files across many servers. Here is...
AI training depends on chips constantly combining their results. This explainer walks through all-reduce and other collective operations in plain language.
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