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a16z leads $300M investment in Gimlet Labs

The firm cites fast-growing AI inference demand outpacing power plants and data centers, and says Gimlet Labs' multi-silicon cloud already delivers up to 10x throughput gains on frontier models within the same power envelope.

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

TLDR

In a September 4 post, a16z announced it is leading a $300M investment in Gimlet Labs. The post states that AI inference demand is growing faster than physical infrastructure can expand and credits Gimlet with the first multi-silicon inference cloud, reporting up to 10x gains in throughput and interactivity on frontier models inside the same power limits.

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85.2K

2 Sources, first seen 26d ago

501 likes20 comments242 saves38 reposts

Combined views

85.2K

2 Sources, first seen 26d ago

501 likes20 comments242 saves38 reposts

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2 Sources

@a16zWe're thrilled to lead a $300M investment in Gimlet Labs. AI inference is one of the fastest-growing markets in the history of capitalism, and we are running out of nearly every physical input required to serve it. Inference demand compounds at software speed; power plants, data centers, and semiconductor fabs do not. We believe @gimletlabs has built the solution: the first multi-silicon inference cloud, designed to produce more intelligence from every watt. This system is already delivering up to 10x gains in throughput and interactivity on frontier models within the same power envelope. In a market starved for compute, efficiency is net-new capacity and latency is product differentiation. Wherever the existing stack ends, the Gimlet team starts. Welcome, @zainasgar, Michelle Nguyen, @oazizi, @nserrino, James Bartlett, and the Gimlet Labs team! By @RaghuRaghuram, @sarahdingwang, @shangdaxu, @steph_zhang
@SiliconANGLEGimlet Labs nabs $300M for its disaggregated inference platform https://ift.tt/3Ch0Z1i
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    2 Sources

    @a16zWe're thrilled to lead a $300M investment in Gimlet Labs. AI inference is one of the fastest-growing markets in the history of capitalism, and we are running out of nearly every physical input required to serve it. Inference demand compounds at software speed; power plants, data centers, and semiconductor fabs do not. We believe @gimletlabs has built the solution: the first multi-silicon inference cloud, designed to produce more intelligence from every watt. This system is already delivering up to 10x gains in throughput and interactivity on frontier models within the same power envelope. In a market starved for compute, efficiency is net-new capacity and latency is product differentiation. Wherever the existing stack ends, the Gimlet team starts. Welcome, @zainasgar, Michelle Nguyen, @oazizi, @nserrino, James Bartlett, and the Gimlet Labs team! By @RaghuRaghuram, @sarahdingwang, @shangdaxu, @steph_zhang
    @SiliconANGLEGimlet Labs nabs $300M for its disaggregated inference platform https://ift.tt/3Ch0Z1i
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