<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cloud Services on YennJ12 Engineering Blog</title><link>https://yennj12.js.org/yennj12_blog_V4/tags/cloud-services/</link><description>Recent content in Cloud Services on YennJ12 Engineering Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Fri, 10 Apr 2026 08:00:00 +0800</lastBuildDate><atom:link href="https://yennj12.js.org/yennj12_blog_V4/tags/cloud-services/feed.xml" rel="self" type="application/rss+xml"/><item><title>在 Kubernetes 上使用 Slurm 運行大規模 GPU 工作負載</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/nvidia-running-large-scale-gpu-workloads-on-kubernetes-wi-zh/</link><pubDate>Fri, 10 Apr 2026 08:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/nvidia-running-large-scale-gpu-workloads-on-kubernetes-wi-zh/</guid><description>本文深入探討如何在 Kubernetes 環境中利用 Slurm 進行大規模 GPU 工作負載的管理和調度。文章將介紹核心概念、技術架構、實現細節，並通過代碼示例展示如何配置和優化系統性能，最後討論常見問題和最佳實踐。</description></item></channel></rss>