Thx in advice.
“Bang for Buck”
Good luck. I would wait for the AI phase to crash
Buy the cheapest graphics card with 16 or 24GB of VRAM. In the past people bought used NVidia 3090 cards. You can also buy a GPU from AMD, they’re cheaper but ROCm is a bit more difficult to work with. Or if you own a MacBook or any Apple device with a M2 or M3, use that. And hopefully you paid for enough RAM in it.
An M1 MacBook with 16GB cheerfully runs llama3:8b outputting about 5 words a second. A second hand MacBook like that probably costs half to a third of a secondhand RTX3090.
It must suck to be a bargain hunting gamer. First bitcoin, and now AI.
edit: a letter
Ok. I get it now. I’ve been trying to build something cheap as a Linux gaming setup and I’ve come to the conclusion that I’m better off buying the steam deck.
I actually use an AMD card for running image generation and LLMs on my PC on Linux. It’s actually not hard to set up.
I’m not the original person you replied to, but I also have a similar setup. I’m using a 6700XT, with both InvokeAI and stable-diffusion-webui-forge setup to run without any issues. While I’m running Arch Linux, I have it setup in Distrobox so its agnostic to the distro I’m running (since I’ve hopped between quite a few distros) - the container is actually an Ubuntu based container.
The only hiccup I ran into is that while ROCm does support this card, you need to set an environmental variable for it to be picked up correctly. At the start of both sd-webui and invokeai’s launch scripts, I just use:
export HSA_OVERRIDE_GFX_VERSION=10.3.0
In order to set that up, and it works perfectly. This is the link to the distrobox container file I use to get that up and running.
I have Fedora installed on my system (don’t know how the situation is on other distros regarding rocm) and my GPU is an RX 6700 XT. For image generation I use stable duffusion webui and for LLMs I use text generation webui. Both installed everything they needed by themselves and work perfectly fine on my AMD GPU. I can also give you more info if there’s anything else you wanna know.
I feel like this really depends on what hardware you have access too. What are you interested in doing?How long are you willing to wait for it to generate, and how good do you want it to be?
You can pull off like 0.5 word per second of one of the mistral models on the CPU with 32GB of RAM. The stabediffusion image models work okay with like 8-16GB of vram.
Automatic1111 for Stable Diffusion and Ollama for LLMs
