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  • 4 Comments
Joined 2 years ago
Cake day: June 4th, 2023
  • Domi@lemmy.secnd.metoLinux@lemmy.ml•AMD vs Nvidia
    2·
    5 hours ago

    I’m curious. Say you are getting a new computer, put Debian on, want to run e.g. DeepSeek via ollama via a container (e.g. Docker or podman) and also play, how easy or difficult is it?

    On the host system, you don’t need to do anything. AMDGPU and Mesa are included on most distros.

    For LLMs you can go the easy route and just install the Alpaca flatpak and the AMD addon. It will work out of the box and uses ollama in the background.

    If you need a Docker container for it: AMD provides the handy rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-complete images. They contain all the required ROCm dependencies and runtimes and you can just install your stuff ontop of it.

    As for GPU passthrough, all you need to do is add a device link for /dev/kfd and /dev/dri and you are set. For example, in a docker-compose.yml you just add this:

        devices:
      - /dev/kfd:/dev/kfd
      - /dev/dri:/dev/dri

    For example, this is the entire Dockerfile needed to build ComfyUI from scratch with ROCm. The user/group commands are only needed to get the container groups to align with my Fedora host system.

    spoiler 
    ARG UBUNTU_VERSION=24.04
ARG ROCM_VERSION=6.3
ARG BASE_ROCM_DEV_CONTAINER=rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-complete

# For 6000 series
#ARG ROCM_DOCKER_ARCH=gfx1030
# For 7000 series
ARG ROCM_DOCKER_ARCH=gfx1100

FROM ${BASE_ROCM_DEV_CONTAINER}

RUN apt-get update && apt-get install -y git python-is-python3 && rm -rf /var/lib/apt/lists/*
RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.3 --break-system-packages

# Change group IDs to match Fedora
RUN groupmod -g 1337 irc && groupmod -g 105 render && groupmod -g 39 video

# Rename user on newer 24.04 release and add to video/render group
RUN usermod -l ai ubuntu && \
    usermod -d /home/ai -m ai && \
    usermod -a -G video ai && \
    usermod -a -G render ai

USER ai
WORKDIR /app

ENV PATH="/home/ai/.local/bin:${PATH}"

RUN git clone https://github.com/comfyanonymous/ComfyUI .
RUN pip install -r requirements.txt --break-system-packages

COPY start.sh /start.sh
CMD /start.sh
  • Domi@lemmy.secnd.metoLinux@lemmy.ml•AMD vs Nvidia
    3·
    8 hours ago

    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.