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The numbers an AI engineer should know by heart are memory bandwidths and the energy cost of a single operation.

Drawn from what Jeff Dean said

energy

What Jeff Dean actually said

  1. Jeff Dean Chief Scientist at Google DeepMind and Google Research
    Yeah, I mean I think if you looked at what is important in AI systems these days, you would want to know things like the bandwidth between you know your main memory system on your accelerator to the onchip memory to the um you know the multiplier unit or whatever. You want to know how much energy does it take to do a single multiplier operation.

    Watch from 11:09 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 6th

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

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