llama-server-cuda.Dockerfile
1 ARG UBUNTU_VERSION=22.04 2 # This needs to generally match the container host's environment. 3 ARG CUDA_VERSION=12.6.0 4 # Target the CUDA build image 5 ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} 6 # Target the CUDA runtime image 7 ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION} 8 9 FROM ${BASE_CUDA_DEV_CONTAINER} AS build 10 11 # CUDA architecture to build for (defaults to all supported archs) 12 ARG CUDA_DOCKER_ARCH=default 13 14 RUN apt-get update && \ 15 apt-get install -y build-essential git cmake libcurl4-openssl-dev 16 17 WORKDIR /app 18 19 COPY . . 20 21 # Use the default CUDA archs if not specified 22 RUN if [ "${CUDA_DOCKER_ARCH}" != "default" ]; then \ 23 export CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=${CUDA_DOCKER_ARCH}"; \ 24 fi && \ 25 cmake -B build -DGGML_NATIVE=OFF -DGGML_CUDA=ON -DLLAMA_CURL=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \ 26 cmake --build build --config Release --target llama-server -j$(nproc) && \ 27 mkdir -p /app/lib && \ 28 find build -name "*.so" -exec cp {} /app/lib \; 29 30 FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime 31 32 RUN apt-get update && \ 33 apt-get install -y libcurl4-openssl-dev libgomp1 curl 34 35 COPY --from=build /app/lib/ / 36 COPY --from=build /app/build/bin/llama-server /llama-server 37 38 # Must be set to 0.0.0.0 so it can listen to requests from host machine 39 ENV LLAMA_ARG_HOST=0.0.0.0 40 41 HEALTHCHECK CMD [ "curl", "-f", "http://localhost:8080/health" ] 42 43 ENTRYPOINT [ "/llama-server" ]