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    AI

    Sarah Wang to Launch Independent AI Investment Fund

    Former a16z growth partner highlights limits of current AI inference capacity.

    SW
    ID
    2 Sources, 26d ago, first seen 26d ago

    TLDR

    Sarah Wang, previously General Partner at a16z growth fund focused on AI and enterprise, stated she is leaving to start her own fund. In her post she noted that rate limits on LLMs reflect the world’s constrained AI inference capacity and called for heterogeneous compute at scale through Gimlet’s multi-silicon inference cloud. Iain Dunning, Head of AI at Hudson River Trading, separately posted excitement that HRTVentures is participating in Gimlet’s round and praised the firm’s take on the inference problem.

    Combined views

    17.6K

    2 Sources, first seen 26d ago

    Combined views

    17.6K

    2 Sources, first seen 26d ago

    146 likes
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    146 likes
    9 comments
    28 saves
    2 reposts

    Sentiment

    Positive——Negative

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    9 comments
    28 saves
    2 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    2 Sources

    @sarahdingwangEvery time you get rate limited by an LLM, you feel the limitations of the world’s constrained AI inference capacity. To truly get the most out of the historically unprecedented capital investment cycle underway in AI infrastructure, we need heterogeneous compute to work at scale. Gimlet’s multi-silicon inference cloud is exactly designed to produce more intelligence from every watt. Zain, Michelle, Natalie, Omid, and James are world class, and I am thrilled to partner with them! @zainasgar @oazizi @nserrino @gimletlabs
    @iaindunningExcited to have @HRTVentures participate in this round, Gimlet are doing awesome work and have a great take on the inference problem

    2 Sources

    @sarahdingwangEvery time you get rate limited by an LLM, you feel the limitations of the world’s constrained AI inference capacity. To truly get the most out of the historically unprecedented capital investment cycle underway in AI infrastructure, we need heterogeneous compute to work at scale. Gimlet’s multi-silicon inference cloud is exactly designed to produce more intelligence from every watt. Zain, Michelle, Natalie, Omid, and James are world class, and I am thrilled to partner with them! @zainasgar @oazizi @nserrino @gimletlabs
    @iaindunningExcited to have @HRTVentures participate in this round, Gimlet are doing awesome work and have a great take on the inference problem