content: 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_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)
  
  FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
  
  RUN apt-get update && \
      apt-get install -y libcurl4-openssl-dev libgomp1 curl
  
  COPY --from=build /app/build/ggml/src/libggml.so /libggml.so
  COPY --from=build /app/build/src/libllama.so /libllama.so
  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" ]
  