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Shard a large input embedding table across devices

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MicrosoftML designLast asked Jan 2026

A model's [V, H] input embedding table is too big for one device. Compare sharding along the vocabulary with sharding along the hidden dimension: how a lookup works in each, the communication needed, load balance across devices, and how the output feeds the next layers.

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