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    Researchers Announce Self-Hosted GPU Shed for AI Workloads

    The setup reportedly runs infrastructure 1000x faster on minimal hardware after self-hosting GPUs in a shed.

    AC
    JS
    3 Sources, 40d ago, first seen 40d ago

    TLDR

    Joseph Suarez posted that his team made their infrastructure 1000x faster so it runs on a potato. The change follows their purchase of GPUs that they now self-host in a shed. Andrew Carr answered a question about the number of GPUs by stating the setup ranks in the top 25 for compute capacity in Utah. Gowthami Somepalli asked about the GPU count and described a similar home shed approach that she said cut rental costs by ten times and enabled more experiments than cloud limits allow. The posts are replies among visible conversation on the platform.

    Combined views

    565

    3 Sources, first seen 40d ago

    Combined views

    565

    3 Sources, first seen 40d ago

    12 likes
    12 likes

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    3 Sources

    @jsuarez@andrew_n_carr We just made our infra 1000x faster. Runs on a potato!
    @gowthami_s@andrew_n_carr Wow! How many GPUs do you have??
    @andrew_n_carr@gowthami_s top 25 most compute in utah!!

    3 Sources

    @jsuarez@andrew_n_carr We just made our infra 1000x faster. Runs on a potato!
    @gowthami_s@andrew_n_carr Wow! How many GPUs do you have??
    @andrew_n_carr@gowthami_s top 25 most compute in utah!!