FROM nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04 ENV DEBIAN_FRONTEND=noninteractive \ TZ=Europe/Paris \ CONDA_AUTO_UPDATE_CONDA=false \ HOME=/home/user \ PATH=/home/user/miniconda/bin:$PATH \ HF_HOME=/data/huggingface \ HF_HUB_DISABLE_TELEMETRY=1 \ PYTHONDONTWRITEBYTECODE=1 \ PYTHONUNBUFFERED=1 \ GRADIO_ALLOW_FLAGGING=never \ GRADIO_NUM_PORTS=1 \ GRADIO_SERVER_NAME=0.0.0.0 \ GRADIO_THEME=huggingface \ SYSTEM=spaces \ SHELL=/bin/bash # Base utilities RUN rm -f /etc/apt/sources.list.d/*.list && \ apt-get update && apt-get install -y --no-install-recommends \ curl \ ca-certificates \ git \ wget \ procps \ git-lfs \ zip \ unzip \ htop \ vim \ nano \ bzip2 \ libx11-6 \ build-essential \ libsndfile-dev \ software-properties-common \ && rm -rf /var/lib/apt/lists/* # nvtop RUN add-apt-repository ppa:flexiondotorg/nvtop && \ apt-get update && \ apt-get install -y --no-install-recommends nvtop && \ rm -rf /var/lib/apt/lists/* # Node.js 21 RUN curl -fsSL https://deb.nodesource.com/setup_21.x | bash - && \ apt-get update && \ apt-get install -y nodejs && \ npm install -g configurable-http-proxy && \ rm -rf /var/lib/apt/lists/* # Working directory WORKDIR /app # User setup RUN adduser --disabled-password --gecos '' --shell /bin/bash user && \ mkdir -p /home/user/.cache /home/user/.config /home/user/app && \ chown -R user:user /home/user # Miniconda Python 3.12 (latest stable) USER user RUN curl -fsSL -o /home/user/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-py312_24.7.1-0-Linux-x86_64.sh && \ bash /home/user/miniconda.sh -b -p /home/user/miniconda && \ rm -f /home/user/miniconda.sh && \ conda install -y python=3.12.13 pip=26.0.1 && \ conda clean -ya WORKDIR /home/user/app # Back to root for system packages / startup USER root RUN --mount=target=/root/packages.txt,source=packages.txt \ apt-get update && \ xargs -r -a /root/packages.txt apt-get install -y --no-install-recommends && \ rm -rf /var/lib/apt/lists/* RUN --mount=target=/root/on_startup.sh,source=on_startup.sh,readwrite \ bash /root/on_startup.sh RUN mkdir -p /data/huggingface /workspace && chown -R root:root /data /workspace # Python packages ARG FLASH_ATTN_WHEEL_URL="https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3%2Bcu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl" ARG FLASH_ATTN_WHEEL_SHA256="4e2f9e39313266b1544b68138b15b91ee6221eccf14f7902b7c6620351340810" USER user RUN pip install --no-cache-dir \ packaging==26.2 \ psutil==7.2.2 \ ninja==1.13.0 \ wheel==0.46.3 && \ pip install --no-cache-dir \ torch==2.9.1 \ --index-url https://download.pytorch.org/whl/cu128 RUN --mount=target=requirements.txt,source=requirements.txt \ pip install --no-cache-dir --upgrade -r requirements.txt RUN FLASH_ATTN_WHEEL="/tmp/flash_attn-2.8.3+cu12torch2.9cxx11abiTRUE-cp312-cp312-linux_x86_64.whl" && \ curl -fL "$FLASH_ATTN_WHEEL_URL" -o "$FLASH_ATTN_WHEEL" && \ echo "$FLASH_ATTN_WHEEL_SHA256 $FLASH_ATTN_WHEEL" | sha256sum -c - && \ pip install --no-cache-dir "$FLASH_ATTN_WHEEL" && \ rm -f "$FLASH_ATTN_WHEEL" RUN python -c "import torch, flash_attn; print(f'torch={torch.__version__} cuda={torch.version.cuda} flash_attn={flash_attn.__version__}')" # App files USER root COPY --chown=root:root . /home/user/app RUN chmod +x /home/user/app/start_server.sh # Jupyter template path for Python 3.12 COPY --chown=root:root login.html /home/user/miniconda/lib/python3.12/site-packages/jupyter_server/templates/login.html CMD ["./start_server.sh"]