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Altman says local AI inference wastes scarce DRAM compared with datacenters

1 article1 sourcesince Oct 29Last article 1h ago ·

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Sam Altman says it is terrible for the world's limited DRAM supply to sit in personal computers that are used about 5% of the time.

Rohan Paul, in an X post, adds that per token, datacenters win easily, because local models running at batch size 1 leave hardware underused. The reports give no figures for DRAM supply or utilization beyond the 5% estimate attributed to Altman, and no independent data is cited.

Written by AI from the articles below · updated Oct 29, 7:37 PM ET

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Oct 29
  1. Rohan PaulX
    Altman argues local AI inference wastes scarce DRAM versus datacenters

    AISam Altman says it is terrible for the world's limited DRAM supply to sit in personal computers used about 5% of the time. Rohan Paul's post adds that per token, datacenters win easily, since local models at batch size 1 waste utilization.

    Video from @rohanpaul_ai's post

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