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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).

Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.

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How is NVIDIA on Wayland nowadays? (lemmy.world)

submitted 8 months ago* (last edited 8 months ago) by [email protected] to c/[email protected]

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I have currently a RX 6700XT and I'm quite happy with it when it comes to gaming and regular desktop usage, but was recently doing some local ML stuff and was just made aware of huge gap NVIDIA has over AMD in that space.

But yeah, going back to NVIDIA (I used to run 1080) after going AMD... seems kinda dirty for me ;-; Was very happy to move to AMD and be finally be free from the walled garden.

I thought at first to just buy a second GPU and still use my 6700XT for gaming and just use NVIDIA for ML, but unfortunately my motherboard doesn't have 2 PCIe slots I could use for GPUs, so I need to choose. I would be able to buy used RTX 3090 for a fair price, since I don't want to go for current gen, because of the current pricing.

So my question is how is NVIDIA nowadays? I specifically mean Wayland compatibility, since I just recently switched and would suck to go back to Xorg. Other than that, are there any hurdles, issues, annoyances, or is it smooth and seamless nowadays? Would you upgrade in my case?

EDIT: Forgot to mention, I'm currently using GNOME on Arch(btw), since that might be relevant

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[–] [email protected] 6 points 8 months ago

I don’t have an answer to your nvidia question, but before you go and spend $2000 on an nvidia card, you should give the rocm docker containers a shot worh your existing card. https://hub.docker.com/u/rocm https://github.com/ROCm/ROCm-docker

it’s made my use of rocm 1000x easier than actually installing it on my system and was sufficient for my uses of running inference on my 6700xt.