Not exactly answering your question, but a 4090 is probably quite a bit of overkill for personal ml projects. On the rare occasion you will be training models that require those resources, you can probably leverage cloud based resources and it will be cheaper in the long run.

With that said you mentioned gaming being a primary use case of your system. Depending on what you play I assume you will want a windows os, and if that is the case I will echo what others have said and say wsl2 is great.

I personally used a 2070 with wsl 2 for graduate work In computer vision and deep learning.

I think it’s great from a local workstation perspective and see it no more fragile than a standard windows, Mac, or Linux work station environment.

I do agree it doesn’t compare to a professional server cluster. I use wsl at work for a local workstation (small builds/jobs and debugging) but farm out big jobs to a server cluster.

Based on the described use case I think wsl would be a great option. I use it on my personal machine and transitioning from a code/ml project to playing a game of league is so easy compared to switching to my dual boot partition. Running wsl does share system resources with a second os, but the over head of windows is not that large. I personally never run into the case where native Linux provides a Benifit over wsl for jobs small enough that I wouldn’t just farm out to a cloud based server (very rare with my personal projects).