SemiAnalysis报道称，AMD工程师现在可以直接向NVIDIA的NIXL推理通信库贡献代码更改。此前，NVIDIA在长达十年间基本阻止AMD合入其代码。通过过去两年的努力，SemiAnalysis促成了和解，导致NVIDIA接受了AMD的拉取请求。此次集成于2026年6月完成，消除了AMD维护独立分支的需要，节省了大量工程时间。 AI
影响 此次集成通过允许直接贡献关键推理库来简化AI开发，可能加速软硬件协同优化。
排序理由 主要竞争对手AMD和NVIDIA在核心AI基础设施上的合作，由第三方促成。
AI 生成摘要 · Google Gemini · 来自 6 个来源。 我们如何撰写摘要 →
AMD engineers are now landing their code changes directly into NIXL upstream instead of needing to waste dozens of engineering hours every month syncing upstream into their RIXL fork. 6/6🧵 https://t.co/FiCaq1tJ1c
AMD has now deprecated its fork and is fully supporting upstream NIXL development. 5/6🧵 https://t.co/PWmnqglAkd
Thus, in early 2026, we connected AMD's Head of AI Application Engineering, Andy Luo, to the NIXL team, and in June 2026, AMD was finally able to merge its code into NVIDIA's libraries. 4/6🧵 https://t.co/qOOqlnY0gD
12 months later, at GTC 2026, during a Dynamo session, we asked again from a different angle: NIXL had already merged upstream contributions from Trainium's Neuron fork. Would it take them from AMD's RIXL fork? The maintainers said they would, in front of a room. 3/6🧵
At GTC 2025, we asked NVIDIA point-blank: with the big comms library refactor coming, would you help AMD's team adapt their fork? The NVIDIA communication software architect said clearly that NVIDIA doesn't participate in AMD comms development at all. 2/6🧵
For the past 10 years, NVIDIA prevented AMD from upstreaming its code into NVIDIA’s libraries, but over the past 24 months, SemiAnalysis has squashed the beef, and NVIDIA has started accepting AMD PRs into the ultra-important NIXL Inference communication library. We explain https…