<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>ZCube on AI内参</title>
    <link>https://www.neican.ai/tags/zcube/</link>
    <description>Recent content in ZCube on AI内参</description>
    <generator>Hugo</generator>
    <language>zh-cn</language>
    <lastBuildDate>Fri, 22 May 2026 17:10:03 +0800</lastBuildDate>
    <atom:link href="https://www.neican.ai/tags/zcube/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>算力“淘金热”的终结：当“网络架构”成为超越GPU的第二效率曲线</title>
      <link>https://www.neican.ai/insights/gpu-20260522171003805-3/</link>
      <pubDate>Fri, 22 May 2026 17:10:03 +0800</pubDate>
      <guid>https://www.neican.ai/insights/gpu-20260522171003805-3/</guid>
      <description>大模型行业正经历从“购买GPU”到“优化网络架构”的战略转型。智谱ZCube等实践证明，通过系统层面的拓扑重构，可在不增加硬件前提下显著提升推理效率，预示着AI产业将进入以系统协同为核心的存量算力深挖时代。</description>
    </item>
  </channel>
</rss>
