<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Batching on k4i's blog</title><link>https://k4i.top/zh/tags/batching/</link><description>Recent content in Batching on k4i's blog</description><generator>Hugo -- gohugo.io</generator><language>zh</language><managingEditor>sky_io@outlook.com (K4i)</managingEditor><webMaster>sky_io@outlook.com (K4i)</webMaster><copyright>All content is subject to the license of &lt;a rel="license noopener" href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank"&gt;CC BY-NC-SA 4.0&lt;/a&gt; .</copyright><lastBuildDate>Wed, 22 Apr 2026 10:30:00 +0800</lastBuildDate><atom:link href="https://k4i.top/zh/tags/batching/index.xml" rel="self" type="application/rss+xml"/><item><title>Continuous Batching：按迭代粒度调度</title><link>https://k4i.top/zh/posts/continuous-batching/</link><pubDate>Wed, 22 Apr 2026 10:30:00 +0800</pubDate><author>sky_io@outlook.com (K4i)</author><atom:modified>Sat, 30 May 2026 00:04:33 +0800</atom:modified><guid>https://k4i.top/zh/posts/continuous-batching/</guid><description>&lt;h2 id="batching-problem"&gt;batching 问题&lt;/h2&gt;
&lt;p&gt;batching 是 LLM serving 系统让 GPU 忙起来的基本手段。单个请求通常无法充分利用 GPU，但多个请求放在一起，就能把很多小矩阵运算变成更大的矩阵运算。问题是：请求不会同时结束。&lt;/p&gt;</description><dc:creator>K4i</dc:creator><media:content url="https://k4i.top//images/posts/continuous-batching/cover.svg" medium="image"><media:title type="html">featured image</media:title></media:content><category>llm</category><category>inference</category><category>systems</category><category>batching</category><category>scheduling</category><category>AI</category><category>LLM Inference Internals</category></item></channel></rss>