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submitted 10 months ago by KarnaSubarna@lemmy.ml to c/linux@lemmy.ml
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[-] aniki@lemm.ee 38 points 10 months ago

I would so much rather run AMD than Nvidia for AI.

[-] possiblylinux127@lemmy.zip 5 points 10 months ago

I'll run which ever doesn't require a bunch of proprietary software. Right now its neither.

[-] domi@lemmy.secnd.me 9 points 10 months ago

AMD's ROCm stack is fully open source (except GPU firmware blobs). Not as good as Nvidia yet but decent.

Mesa also has its own OpenCL stack but I didn't try it yet.

[-] possiblylinux127@lemmy.zip 0 points 10 months ago

AMD ROCm needs the AMD Pro drivers which are painful to install and are proprietary

[-] domi@lemmy.secnd.me 15 points 10 months ago

It does not.

ROCm runs directly through the open source amdgpu kernel module, I use it every week.

[-] possiblylinux127@lemmy.zip 3 points 10 months ago* (last edited 10 months ago)

How and with what card? I have a XFX RX590 and I just gave up on acceleration as it was slow even after I initially set it up.

[-] domi@lemmy.secnd.me 10 points 10 months ago* (last edited 10 months ago)

I use an 6900 XT and run llama.cpp and ComfyUI inside of Docker containers. I don't think the RX590 is officially supported by ROCm, there's an environment variable you can set to enable support for unsupported GPUs but I'm not sure how well it works.

AMD provides the handy rocm/dev-ubuntu-22.04:5.7-complete image which is absolutely massive in size but comes with everything needed to run ROCm without dependency hell on the host. I just build a llama.cpp and ComfyUI container on top of that and run it.

[-] possiblylinux127@lemmy.zip 1 points 10 months ago

That's good to know

this post was submitted on 26 Jan 2024
304 points (99.4% liked)

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