<?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>Vllm on Chi's Blog</title><link>https://zhangchitc.github.io/tags/vllm/</link><description>Recent content in Vllm on Chi's Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 03 Nov 2026 01:00:00 +0800</lastBuildDate><atom:link href="https://zhangchitc.github.io/tags/vllm/index.xml" rel="self" type="application/rss+xml"/><item><title>How PagedAttention Works: Paging the KV Cache Like an Operating System</title><link>https://zhangchitc.github.io/posts/paged-attention/</link><pubDate>Tue, 03 Nov 2026 01:00:00 +0800</pubDate><guid>https://zhangchitc.github.io/posts/paged-attention/</guid><description>Why serving LLMs fragments GPU memory, and how vLLM&amp;rsquo;s PagedAttention fixes it with OS-style paging: physical blocks, a block table, chained block hashes, and a walkthrough of how blocks are allocated, shared, freed and evicted.</description></item></channel></rss>