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Batching exists only because moving data costs about a thousand times more energy than computing on it.

Drawn from what Jeff Dean said

energy

What Jeff Dean actually said

  1. Jeff Dean Chief Scientist at Google DeepMind and Google Research
    Um because if you didn't have that thousandx difference then you know you wouldn't have to do batching but you have to do batching of you know many examples or maybe many tokens at once in order to amortize that data movement

    Watch from 13:06 plays here

    ↗Jeff Dean: The 1% Rule for Building in AIyoutube.com

    30 Jul 2026 · video · 57m · spoken · machine transcript

    All 22 korrents from this recordingthis one is 7th

Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us

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