<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>边缘计算 on MessageDaily</title><link>https://inkeast.github.io/MessageDaily/tags/%E8%BE%B9%E7%BC%98%E8%AE%A1%E7%AE%97/</link><description>Recent content in 边缘计算 on MessageDaily</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Thu, 24 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://inkeast.github.io/MessageDaily/tags/%E8%BE%B9%E7%BC%98%E8%AE%A1%E7%AE%97/index.xml" rel="self" type="application/rss+xml"/><item><title>不可缓存的 Token 流：CDN 如何把自己重写成 AI Agent 运行底座</title><link>https://inkeast.github.io/MessageDaily/posts/2026-09-24-yunqi2026-esa-edge-agent-runtime/</link><pubDate>Thu, 24 Sep 2026 00:00:00 +0000</pubDate><guid>https://inkeast.github.io/MessageDaily/posts/2026-09-24-yunqi2026-esa-edge-agent-runtime/</guid><description>云栖2026边缘论坛上，阿里云ESA把自己从CDN升级款改讲成AI Agent的全球运行底座。核心矛盾在于：CDN为可缓存流量而生，AI推理的token恰恰不可缓存且按量付费，网络质量从体验问题变成成本问题。本文梳理AI加速网关、VPC私网回源、Agent运行时、百T骨干网四层升级，并用乾垚、QwenWork、阿迪达斯三个客户案例交叉验证，标注哪些数字可信、哪些仍是厂商口径。</description></item></channel></rss>