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    AI inference reservations and the risk of idle GPUs

    One post argues that all AI inference providers, including big cloud companies, want customers to bear idle-GPU risk by making them reserve throughput.

    DA
    1 Source, 15d ago, first seen 15d ago

    TLDR

    A post argues that all AI inference providers, including big clouds, want customers to take on idle-GPU risk through throughput reservations—commitments to processing capacity. The author finds this unsurprising but jarring, comparing it with the pre-AWS era, when they say servers couldn't be rented by the minute at scale.

    Combined views

    43.8K

    1 Source, first seen 15d ago

    Combined views

    43.8K

    1 Source, first seen 15d ago

    536 likes
    536 likes
    48 comments
    35 saves
    8 reposts

    Sentiment

    Positive——Negative

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    48 comments
    35 saves
    8 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @thdxrall the inference providers including big clouds want customers to take the risk for idle GPUs by making them reserve throughput this isn't surprising remember before AWS you could not at scale rent servers by the minute but it is a bit jarring since we're so used to that

    1 Source

    @thdxrall the inference providers including big clouds want customers to take the risk for idle GPUs by making them reserve throughput this isn't surprising remember before AWS you could not at scale rent servers by the minute but it is a bit jarring since we're so used to that