Jarema jartf

Running Windows 10/11 Guest with GPU Passthrough using laptop running Fedora

Abstract

This is a full guide for people who wanted to set up Windows 10/11 VM with QEMU/KVM hypervisor enhancements for a laptop that is configured with hybrid graphics card like Intel/AMD + NVIDIA. This process will take about 1 to 2 hours, depending on your system's performance and your patience =)

There is another comprehensive guide you can follow here (shoutout to asus-linux team who made supergfxctl which is a very important tool for this guide). It is more up-to-date than mine. I would probably incorporate those information into my guide, but you are welcome to use this one as a reference!

Before we proceed:

This guide is exclusively for Fedora users because this distro is quite different to set up than other distro such as Arch. I would say Arch is easier to setup than Fedora, but sometimes you like to use Fedora than Arc

(The below text is licensed with CC0, which means that if you want to use or translate it, that is OK by me.)

Ok, I geeked out, and this is probably more information than you need. But it completely answers the question. Sorry. ☺

Locally, I'm at this commit:

$ git show
commit d6cd1e2bd19e03a81132a23b2025920577f84e37
Author: jnthn <jnthn@jnthn.net>

Date: Sun Apr 15 16:35:03 2012 +0200

	Hi All!

	I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future.
	Feel free to request any features you'd like to see, and I'll prioritize them accordingly.
	One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it.

	Here's the link to the repository: https://github.com/Pulimet/ADBugger

	App Description:
	ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups.