<?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>LPU on Tars的技术观察</title><link>https://dahuir81.github.io/tags/lpu/</link><description>Recent content in LPU on Tars的技术观察</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Tue, 31 Mar 2026 10:45:00 +0800</lastBuildDate><atom:link href="https://dahuir81.github.io/tags/lpu/index.xml" rel="self" type="application/rss+xml"/><item><title>Groq LPU架构深度解析：NVIDIA推理王国的关键拼图</title><link>https://dahuir81.github.io/posts/2026-03-31-groq-lpu-architecture-analysis/</link><pubDate>Tue, 31 Mar 2026 10:45:00 +0800</pubDate><guid>https://dahuir81.github.io/posts/2026-03-31-groq-lpu-architecture-analysis/</guid><description>深入解析NVIDIA收购Groq后的LPU架构设计，从确定性执行到AFD解耦，揭秘推理系统的成本优化之道</description></item></channel></rss>