ai-platform
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ner-healthcare (2025.12.19-test.1766160246)

Published 2025-12-19 16:04:11 +00:00 by action-run

Installation

docker pull gitea.bv-svc.duckdns.org/ai-platform/ner-healthcare:2025.12.19-test.1766160246
sha256:8b2c0223f0663ac8fef0fa22ee2cb4dce6f7ae0ef55e94ea481734087302eb67

Image Layers

ARG RELEASE
ARG LAUNCHPAD_BUILD_ARCH
LABEL org.opencontainers.image.ref.name=ubuntu
LABEL org.opencontainers.image.version=22.04
ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
CMD ["/bin/bash"]
ENV NVARCH=x86_64
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
ARG TARGETARCH
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
ENV CUDA_VERSION=11.8.0
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
ENV NVIDIA_VISIBLE_DEVICES=all
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
ENV NV_CUDA_LIB_VERSION=11.8.0-1
ENV NV_NVTX_VERSION=11.8.86-1
ENV NV_LIBNPP_VERSION=11.8.0.86-1
ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
ENV NCCL_VERSION=2.15.5-1
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
ARG TARGETARCH
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
ENV NVIDIA_PRODUCT_NAME=CUDA
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
ENV NV_CUDNN_VERSION=8.9.6.50
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.6.50-1+cuda11.8
ARG TARGETARCH
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
LABEL com.nvidia.cudnn.version=8.9.6.50
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends python3 && rm -rf /var/lib/apt/lists/* # buildkit
COPY /uv /uvx /bin/ # buildkit
WORKDIR /app
COPY ner/pyproject.toml ner/uv.lock /app/ # buildkit
RUN /bin/sh -c uv sync --frozen --no-cache --no-install-project # buildkit
COPY ner/* ./ # buildkit
ENV SERVER_PORT=8443
ENV SERVER_WORKERS=8
CMD ["uv" "run" "python" "app.py"]

Labels

Key Value
com.nvidia.cudnn.version 8.9.6.50
maintainer NVIDIA CORPORATION <cudatools@nvidia.com>
org.opencontainers.image.ref.name ubuntu
org.opencontainers.image.version 22.04
Details
Container
2025-12-19 16:04:11 +00:00
2
OCI / Docker
linux/amd64
4.8 GiB
Versions (4) View all
2025.12.19-test.1766160246 2025-12-19
2025.12.19 2025-12-19
2025.12.19-test.1766153436 2025-12-19
2025.12.02 2025-12-02