<?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>Nccl on LLM Infra Tutorial</title><link>https://mzf666.github.io/llm-infra/en/tags/nccl/</link><description>Recent content in Nccl on LLM Infra Tutorial</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sun, 15 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://mzf666.github.io/llm-infra/en/tags/nccl/index.xml" rel="self" type="application/rss+xml"/><item><title>GPU Memory Model and Distributed Communication Fundamentals</title><link>https://mzf666.github.io/llm-infra/en/posts/01-gpu-memory-distributed/</link><pubDate>Sun, 15 Mar 2026 00:00:00 +0000</pubDate><guid>https://mzf666.github.io/llm-infra/en/posts/01-gpu-memory-distributed/</guid><description>From GPU memory hierarchy to NCCL communication primitives — the two pillars of LLM Infra optimization.</description></item></channel></rss>