<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>VLLM on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/vllm/</link><description>Recent content in VLLM on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Tue, 03 Mar 2026 09:30:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/vllm/index.xml" rel="self" type="application/rss+xml"/><item><title>vLLM 多机多卡分布式推理：Tensor Parallel 调优与踩坑实录</title><link>https://socake.github.io/posts/vllm-multi-node-distributed/</link><pubDate>Tue, 03 Mar 2026 09:30:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/vllm-multi-node-distributed/</guid><description>从单机 8 卡讲到多机多卡，把 vLLM 的 TP/PP 拆分、Ray 启动方式、NCCL 调优、PagedAttention 显存核算和常见翻车场景串成一条完整的落地路径。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/vllm-multi-node-distributed/featured.jpg"/></item><item><title>LLM 生产服务化：vLLM 部署与 GPU 推理优化实战</title><link>https://socake.github.io/posts/llm-production-serving-vllm/</link><pubDate>Tue, 13 Jan 2026 13:36:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/llm-production-serving-vllm/</guid><description>团队把 Ollama 搬上生产后，高峰期请求排队超过 30 秒，用户纷纷反映 AI 功能不可用。这篇文章记录我们迁移到 vLLM 的全过程，包括 PagedAttention、Continuous Batching 原理，以及 Kubernetes GPU 部署的完整配置。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/llm-production-serving-vllm/featured.jpg"/></item></channel></rss>