# Agentic AI或将推动CPU重回计算舞台中心

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-05-23 19:38
- AIHOT 分数：52
- AIHOT 链接：https://aihot.virxact.com/items/cmpian8680vi5sljwr922esbv
- 原文链接：https://x.com/rohanpaul_ai/status/2058150566807891994

## AI 摘要

代理型AI（Agentic AI）的兴起正悄然改变AI计算的格局。与过去市场将GPU视为训练大模型的核心稀缺资源不同，代理型AI的任务并非单一查询，而是一个涉及规划、工具调用、记忆检索、代码执行与数据库查询的持续循环过程。这一复杂的推理与编排过程，包含大量数据移动、调度等通用计算任务，恰恰是CPU相较于GPU等加速器更为擅长的工作。正如ARK Invest CEO Cathie Wood引用OpenAI CFO Sarah Friar的话所指出的，专注于GPU的人们可能会对代理型AI如何激活CPU的能力感到惊讶。这暗示着AI计算的瓶颈正从模型训练的并行计算，转向代理执行阶段的通用处理能力，使得CPU的重要性得以重新凸显。

## 正文

Agentic 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.

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From "Bloomberg Podcasts" YT channel （link in comment）