Files
reflector/gpu/self_hosted/Dockerfile
Sergey Mankovsky ab859d65a6 feat: self-hosted gpu api (#636)
* Self-hosted gpu api

* Refactor self-hosted api

* Rename model api tests

* Use lifespan instead of startup event

* Fix self hosted imports

* Add newlines

* Add response models

* Move gpu dir to the root

* Add project description

* Refactor lifespan

* Update env var names for model api tests

* Preload diarizarion service

* Refactor uploaded file paths
2025-09-17 18:52:03 +02:00

47 lines
1.1 KiB
Docker

FROM python:3.12-slim
ENV PYTHONUNBUFFERED=1 \
UV_LINK_MODE=copy \
UV_NO_CACHE=1
WORKDIR /tmp
RUN apt-get update \
&& apt-get install -y \
ffmpeg \
curl \
ca-certificates \
gnupg \
wget \
&& apt-get clean
# Add NVIDIA CUDA repo for Debian 12 (bookworm) and install cuDNN 9 for CUDA 12
ADD https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/cuda-keyring_1.1-1_all.deb /cuda-keyring.deb
RUN dpkg -i /cuda-keyring.deb \
&& rm /cuda-keyring.deb \
&& apt-get update \
&& apt-get install -y --no-install-recommends \
cuda-cudart-12-6 \
libcublas-12-6 \
libcudnn9-cuda-12 \
libcudnn9-dev-cuda-12 \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
ADD https://astral.sh/uv/install.sh /uv-installer.sh
RUN sh /uv-installer.sh && rm /uv-installer.sh
ENV PATH="/root/.local/bin/:$PATH"
ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH"
RUN mkdir -p /app
WORKDIR /app
COPY pyproject.toml uv.lock /app/
COPY ./app /app/app
COPY ./main.py /app/
COPY ./runserver.sh /app/
EXPOSE 8000
CMD ["sh", "/app/runserver.sh"]