this post was submitted on 12 Feb 2025
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If it's just about self-hosting and not training, ROCm works perfectly fine for that. I self-host DeepSeek R1 32b and FLUX.1-dev on my 7900 XTX.
You even get more VRAM for cheaper.
This is very good to know. I read that ROCm can be a pain to get up and running, but I read that months ago and this space is moving fast. I may switch over when I can if this is the case. My 3080 is feeling it's age already. Thank you!
That used to be the case, yes.
Alpaca pretty much allows running LLM out of the box on AMD after installing the ROCm addon in Discover/Software. LM Studio also works perfectly.
Image generation is a little bit more complicated. ComfyUI supports AMD when all ROCm dependencies are installed and the PyTorch version is swapped for the AMD version.
However, ComfyUI provides no builds for Linux or AMD right now and you have to build it yourself. I currently use a simple Docker container for ComfyUI which just takes the AMD ROCm image and installs ComfyUI ontop.
Definitely bookmarking this reply. I haven't tried ComfyUI yet, but I've had it starred on Github from back when it was fairly new. I'm no stranger to building from source, but I have not dived into Docker yet, which is becoming more and more of a weakness by the day. Docker is sometimes required by some really cool projects and I'm missing out.