ARG UBUNTU_VERSION=22.04 # This needs to generally match the container host's environment. ARG CUDA_VERSION=12.6.0 # Target the CUDA build image ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} # Target the CUDA runtime image ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION} FROM ${BASE_CUDA_DEV_CONTAINER} AS build # CUDA architecture to build for (defaults to all supported archs) ARG CUDA_DOCKER_ARCH=default RUN apt-get update && \ apt-get install -y build-essential git cmake libcurl4-openssl-dev WORKDIR /app COPY . . # Use the default CUDA archs if not specified RUN if [ "${CUDA_DOCKER_ARCH}" != "default" ]; then \ export CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=${CUDA_DOCKER_ARCH}"; \ fi && \ cmake -B build -DGGML_NATIVE=OFF -DGGML_CUDA=ON -DLLAMA_CURL=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \ cmake --build build --config Release --target llama-server -j$(nproc) && \ mkdir -p /app/lib && \ find build -name "*.so" -exec cp {} /app/lib \; FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime RUN apt-get update && \ apt-get install -y libcurl4-openssl-dev libgomp1 curl COPY --from=build /app/lib/ / COPY --from=build /app/build/bin/llama-server /llama-server # Must be set to 0.0.0.0 so it can listen to requests from host machine ENV LLAMA_ARG_HOST=0.0.0.0 HEALTHCHECK CMD [ "curl", "-f", "http://localhost:8080/health" ] ENTRYPOINT [ "/llama-server" ]