<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Virtualization on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/virtualization/</link><description>Recent content in Virtualization on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Sat, 14 Jun 2025 00:00:00 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/virtualization/atom.xml" rel="self" type="application/rss+xml"/><item><title>Open-Source GPU Virtualization Projects on Kubernetes</title><link>https://www.chenshaowen.com/en/blog/kubernetes-gpu-virtualization.html</link><pubDate>Sat, 14 Jun 2025 00:00:00 +0000</pubDate><atom:modified>Sat, 14 Jun 2025 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/kubernetes-gpu-virtualization.html</guid><description>1. k8s-device-plugin https://github.com/NVIDIA/k8s-device-plugin is the official Kubernetes device plugin from NVIDIA, used to manage and allocate NVIDIA GPU resources in a Kubernetes cluster.
By interacting with kubelet, k8s-device-plugin automatically discovers and registers GPU devices and exposes them to the Kubernetes scheduler as resources. It supports many GPU models and is able to handle GPU partitioning and sharing.</description><dc:creator>微信公众号</dc:creator><category>Kubernetes</category><category>GPU</category><category>AI</category><category>Virtualization</category></item><item><title>SR-IOV Technology</title><link>https://www.chenshaowen.com/en/blog/sr-iov-technique.html</link><pubDate>Sun, 03 Nov 2024 00:00:00 +0000</pubDate><atom:modified>Sun, 03 Nov 2024 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/sr-iov-technique.html</guid><description>1. What SR-IOV Technology Is SR-IOV (Single Root I/O Virtualization) is a virtualization technology that lets virtual machines and containers access physical hardware resources directly, improving I/O performance and reducing host CPU consumption. As shown in the figure above, SR-IOV partitions a single physical device (for example a network interface</description><dc:creator>微信公众号</dc:creator><category>Virtualization</category><category>SR-IOV</category><category>Network</category><category>Operations</category><category>GPU</category></item><item><title>How to Integrate Kata into a Kubernetes Cluster</title><link>https://www.chenshaowen.com/en/blog/how-to-integrate-kata-in-kubernetes-cluster.html</link><pubDate>Sun, 30 Aug 2020 00:00:00 +0000</pubDate><atom:modified>Sun, 30 Aug 2020 00:00:00 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/how-to-integrate-kata-in-kubernetes-cluster.html</guid><description>1. What Problem Kata Solves Security and isolation are what make Kata Container stand out from Docker Container.
Kata Container comes from the merger of the Intel Clear Containers and Hyper runV projects. Intel Clear Containers used Intel VT-x technology to provide containers through lightweight virtual machines, solving the security problem while delivering excellent performance.</description><dc:creator>微信公众号</dc:creator><category>Kubernetes</category><category>Kata</category><category>Containers</category><category>Security</category><category>Operations</category><category>Virtualization</category></item></channel></rss>