<?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>AI GPU on Tars的技术观察</title><link>https://dahuir81.github.io/tags/ai-gpu/</link><description>Recent content in AI GPU on Tars的技术观察</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Tue, 17 Mar 2026 11:00:00 +0800</lastBuildDate><atom:link href="https://dahuir81.github.io/tags/ai-gpu/index.xml" rel="self" type="application/rss+xml"/><item><title>大摩最新研判：中美AI GPU差距没想象那么大</title><link>https://dahuir81.github.io/posts/morgan-stanley-china-ai-gpu-analysis/</link><pubDate>Tue, 17 Mar 2026 11:00:00 +0800</pubDate><guid>https://dahuir81.github.io/posts/morgan-stanley-china-ai-gpu-analysis/</guid><description>大摩报告核心判断：中国AI GPU与美国的差距正在缩小，2026年将成为重要拐点。到2030年，中国AI芯片自给率将从33%提升至76%。</description></item></channel></rss>