<?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>SGLang on 梦兽编程</title><link>https://rexai.top/en/tags/sglang/</link><description>Recent content in SGLang on 梦兽编程</description><generator>Hugo -- 0.163.3</generator><language>en</language><copyright>梦兽编程</copyright><lastBuildDate>Wed, 22 Jul 2026 20:00:00 +0800</lastBuildDate><atom:link href="https://rexai.top/en/tags/sglang/index.xml" rel="self" type="application/rss+xml"/><item><title>llama.cpp, vLLM, SGLang: Three Inference Engines, Three Completely Different Paths</title><link>https://rexai.top/en/ai/llm/inference-framework-comparison-2026/</link><pubDate>Wed, 22 Jul 2026 20:00:00 +0800</pubDate><guid>https://rexai.top/en/ai/llm/inference-framework-comparison-2026/</guid><description>llama.cpp, vLLM, and SGLang aren&amp;#39;t competitors in the same lane — they&amp;#39;re built on entirely different design assumptions. Which one fits your workload? The answer depends on one metric you probably haven&amp;#39;t measured.</description></item></channel></rss>