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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

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What Jeff Dean actually said

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  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.

Added to korrents 30 Jul 2026 · How quotes work · Something wrong? Tell us

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