this post was submitted on 06 Jan 2024
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ThinkPad

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Anyone managed to make it work? If I assign a core to the Windows VM, it's constantly at 100% even when idle. Obviously I expected crappy performance but I was hoping that it would at least work. It did pretty well on bare metal.

Is this a skill issue or a hardware problem? I tried both qxl and virtio, both sucked. I think it's the old GPU because today I tried quickemu instead of virt-manager and quick-emu refused to start because the iGPU does not support OpenGL 3.

Bonus paragraph: Windows 10 (and 11) refused to finish the installation in Virt-manager in KVM mode so I had to install it using emulated x64 cpu and then boot the qcow image from regular KVM. (aimed at those having the same issue in the future)

Edit: I think the problem was Windows updates running in the background. I had a similar problem on my x230 but I fixed it by only enabling security updates. (https://github.com/ChrisTitusTech/winutil) The problem is that this tool is broken on the X200T so I'm going to have to transfer the .qcow image from the X230 to the X200T and then see how bad the performance is. In case you want to know how it went, message me in like a month or two. It's likely I will forget to edit this post after I get through this tinkering.

Edit 2: Nope the issue is the old GPU. It only supports OpenGL 2.0, so Windows isn't really doing anything but rendering itself. I made a last effort to solve this here:

https://lemmy.world/post/11367355

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[–] [email protected] 1 points 10 months ago (1 children)
[–] [email protected] 1 points 10 months ago (1 children)

The other one is for the host. I want to use virtualization so that I can have both linux and windows running at the same time. If I let windows have both cores, the system would be at 100% all the time and would not be responsive. I could give it both cores but that would not solve much if it still idled at 100%.

[–] [email protected] 2 points 10 months ago

It will just stay at 100% then unfortunately. Just too much going on for a single core.