this post was submitted on 10 Oct 2025
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I feel like most people who use Nvidia on Linux just got their machine before they were Linux users, with a small subset for ML stuff.
Honestly, I hear ROCm may finally be getting less horrible, is getting wider distro support, and supports more GPUs than it used to, so I really hope AMD will become as livable ML dev platform as it is a desktop GPU.
Yep, that'd be me. That said if I were to buy a new GPU today (well, tomorrow, waiting on Valve announcement for its next HMD) I might still get an NVIDIA because even though I'm convinced 99% of LLM/GenAI is pure hype, if 1% might be useful, might be built ethically and might run on my hardware, I'd be annoyed if it wouldn't because ROCm is just a tech demo but is too far performance wise. That'd say the percentage is so ridiculously low I'd probably pick the card which treats the open ecosystem best.
From what I've heard, ROCm may be finally getting out of its infancy; at the very least, I think by the time we get something useful, local, and ethical, it will be pretty well-developed.
Honestly, though, I'm in the same boat as you and actively try to avoid most AI stuff on my laptop. The only "AI" thing I use is I occasionally do an image upscale. I find it kind of useless on photos, but it's sometimes helpful when doing vector traces on bitmap graphics with flat colors; Inkscape's results aren't always good with lower resolution images, so putting that specific kind of graphic through "cartoon mode" upscales sometimes improves results dramatically for me.
Of course, I don't have GPU ML acceleration, so it just runs on the CPU; it's a bit slow, but still less than 10 minutes.