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    AI infrastructure could face a cloud-style rebuild

    A post recounts Ben Horowitz's forecast, including AI queries that could run for a week.

    Steven SinofskySS
    Guillermo FlorGF
    2 Sources, ,

    TLDR

    A post summarizes Ben Horowitz's outlook for the next eight to 12 months: he expects AI infrastructure to undergo a rebuild like early cloud computing did. It says he points to unpredictable AI queries, calls Nvidia GPUs power-hungry and low-yield for today's uses, and doubts that training models on all the internet's data is where AI will end up.

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    2 Sources, first seen 7h ago

    Combined views

    22.3K

    2 Sources, first seen 7h ago

    209 likes
    7h ago
    first seen 7h ago
    209 likes
    8 comments
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    42 reposts
    8 comments
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    42 reposts
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    2 Sources

    Guillermo Flor@guilleflorvsBen Horowitz on what he expects in AI over the next 8 to 12 months. He thinks the infrastructure for AI is wrong, and it reminds him of the early days of cloud computing. Back then, everyone thought they could put their existing software on the other side of the wire. It didn't work, and everything got rebuilt: storage, networking, operating systems, virtualization, containers. This is why he expects the same with AI: 1. The workload. A database query is predictable. An AI query could run for a week, and the systems to manage those requests don't exist yet. 2. The chips. Nvidia's GPUs were built for video games. Ben calls them power-hungry and low-yield for what they do today. 3. The models. Training them means sucking down all the data on the internet, and he doubts that is where we end up. His conclusion: from the model on down, everything is going to change, and there will be a lot of opportunity in that. Full breakdown here: https://www.theaiopportunities.com/p/ben-horowitzs-map-of-the-ai-market?r=53m7yb7h
    Steven Sinofsky@stevesiRT @guilleflorvs: Ben Horowitz on what he expects in AI over the next 8 to 12 months. He thinks the infrastructure for AI is wrong, and it…2h

    2 Sources

    Guillermo Flor@guilleflorvsBen Horowitz on what he expects in AI over the next 8 to 12 months. He thinks the infrastructure for AI is wrong, and it reminds him of the early days of cloud computing. Back then, everyone thought they could put their existing software on the other side of the wire. It didn't work, and everything got rebuilt: storage, networking, operating systems, virtualization, containers. This is why he expects the same with AI: 1. The workload. A database query is predictable. An AI query could run for a week, and the systems to manage those requests don't exist yet. 2. The chips. Nvidia's GPUs were built for video games. Ben calls them power-hungry and low-yield for what they do today. 3. The models. Training them means sucking down all the data on the internet, and he doubts that is where we end up. His conclusion: from the model on down, everything is going to change, and there will be a lot of opportunity in that. Full breakdown here: https://www.theaiopportunities.com/p/ben-horowitzs-map-of-the-ai-market?r=53m7yb7h
    Steven Sinofsky@stevesiRT @guilleflorvs: Ben Horowitz on what he expects in AI over the next 8 to 12 months. He thinks the infrastructure for AI is wrong, and it…2h