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    The case for AI inference without gigawatt-scale data centers everywhere

    A post argues inference can be sub-20 MW and says Nvidia's Josh Parker suggested trying even a GPU on a house.

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    TLDR

    A poster argues that AI inference can be sub-20 MW and that gigawatt-scale data centers need not be built everywhere. The poster says Nvidia's Josh Parker, asked about the issue at Climate Week, urged the industry to try everything, down to a GPU on the side of a house.

    Combined views

    9.8K

    2 Sources, first seen 8h ago

    Combined views

    9.8K

    2 Sources, first seen 8h ago

    65 likes
    8h ago
    first seen 8h ago
    65 likes
    14 comments
    50 saves
    26 reposts

    Sentiment

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    Featured Source
    14 comments
    50 saves
    26 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @JigarShahDCInference can be sub-20 MW. We don't need gigawatt data centers the size of Cincinnati going up everywhere.⁣ ⁣ I asked @nvidia's Josh Parker about it at Climate Week. He says the industry should try everything, down to a GPU on the side of a house.⁣ ⁣ Listen to the full conversation at http://energyempire.fm8h
    @DanielleFongRT @JigarShahDC: Inference can be sub-20 MW. We don't need gigawatt data centers the size of Cincinnati going up everywhere.⁣ ⁣ I asked @nv…2h

    2 Sources

    @JigarShahDCInference can be sub-20 MW. We don't need gigawatt data centers the size of Cincinnati going up everywhere.⁣ ⁣ I asked @nvidia's Josh Parker about it at Climate Week. He says the industry should try everything, down to a GPU on the side of a house.⁣ ⁣ Listen to the full conversation at http://energyempire.fm8h
    @DanielleFongRT @JigarShahDC: Inference can be sub-20 MW. We don't need gigawatt data centers the size of Cincinnati going up everywhere.⁣ ⁣ I asked @nv…2h