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    AI agents could put CPUs back in focus, one post argues

    A post points to agents’ tool calls, file retrieval and database queries as reasons general-purpose CPUs may deserve more attention alongside GPUs.

    RP
    2 Sources, 19d ago, first seen 19d ago

    TLDR

    A post describes ARK Invest CEO Cathie Wood quoting OpenAI CFO Sarah Friar: “people are chasing GPUs. They're going to be really shocked at how agentic AI activates CPUs.” The author argues that AI agents do more than ask a model for one answer: they plan, call tools, retrieve files, write code and query databases. In that view, coordinating those tasks—and handling data movement, storage and scheduling—could bring CPUs back to the center of the AI computing discussion.

    Combined views

    7.3K

    2 Sources, first seen 19d ago

    Combined views

    7.3K

    2 Sources, first seen 19d ago

    49 likes
    49 likes
    19 comments
    26 saves
    18 reposts

    Sentiment

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    19 comments
    26 saves
    18 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @rohanpaul_aiAgentic AI may be forcing the old computing stack with lot more focus on CPU back into the center of the story. Here, Ark Invest CEO and CIO Cathie Wood quoting OpenAI's CFO Sarah Friar who has said - "people are chasing GPUs. They're going to be really shocked at how agentic AI activates CPUs" The market has spent years treating GPUs as the scarce ingredient, because training large models made parallel math look like destiny. But agentic AI changes the bottleneck. An agent does not simply ask one giant model for one answer; it plans, calls tools, checks memory, retrieves files, writes code, queries databases, and loops until the task is done. That means inference is not just matrix multiplication. It is orchestration, data movement, networking, storage, scheduling, and a lot of general-purpose work that CPUs still handle better than accelerators. ---- From "Bloomberg Podcasts" YT channel (link in comment)

    2 Sources

    @rohanpaul_aiAgentic AI may be forcing the old computing stack with lot more focus on CPU back into the center of the story. Here, Ark Invest CEO and CIO Cathie Wood quoting OpenAI's CFO Sarah Friar who has said - "people are chasing GPUs. They're going to be really shocked at how agentic AI activates CPUs" The market has spent years treating GPUs as the scarce ingredient, because training large models made parallel math look like destiny. But agentic AI changes the bottleneck. An agent does not simply ask one giant model for one answer; it plans, calls tools, checks memory, retrieves files, writes code, queries databases, and loops until the task is done. That means inference is not just matrix multiplication. It is orchestration, data movement, networking, storage, scheduling, and a lot of general-purpose work that CPUs still handle better than accelerators. ---- From "Bloomberg Podcasts" YT channel (link in comment)