docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3  docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3  docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3

Shell快速替换命令

sed -i 's#gezp/ubuntu-desktop:20.04-cu11.0.3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3  docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3  docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3'

镜像构建历史

# 2026-02-06 10:20:26  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/docker_config/entrypoint.sh"]
                        
# 2026-02-06 10:20:26  0.00B 声明容器运行时监听的端口
EXPOSE [22/tcp 4000/tcp]
                        
# 2026-02-06 10:20:26  5.40KB 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /var/run/sshd &&     sed -i 's/#*PermitRootLogin prohibit-password/PermitRootLogin yes/g' /etc/ssh/sshd_config &&     sed -i 's@session\s*required\s*pam_loginuid.so@session optional pam_loginuid.so@g' /etc/pam.d/sshd # buildkit
                        
# 2026-02-06 10:20:26  743.86MB 执行命令并创建新的镜像层
RUN /bin/sh -c bash /docker_config/post_install.sh &&    rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-02-06 10:19:42  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y pulseaudio && mkdir -p /var/run/dbus &&    rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-02-06 10:19:36  0.00B 设置环境变量 DBUS_SYSTEM_BUS_ADDRESS
ENV DBUS_SYSTEM_BUS_ADDRESS=unix:path=/host/run/dbus/system_bus_socket
                        
# 2026-02-06 10:19:36  667.61MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     add-apt-repository -y ppa:mozillateam/ppa &&    mkdir -p /etc/apt/preferences.d &&    echo "Package: firefox*\nPin: release o=LP-PPA-mozillateam\nPin-Priority: 1001" > /etc/apt/preferences.d/mozilla-firefox &&    apt-get install -y xfce4 terminator fonts-wqy-zenhei pulseaudio ffmpeg firefox &&    update-alternatives --set x-www-browser /usr/bin/firefox &&    rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-02-06 10:17:14  875.27MB 执行命令并创建新的镜像层
RUN /bin/sh -c bash /docker_config/pre_install.sh &&    rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-02-06 10:15:32  1.99MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends vulkan-tools &&     rm -rf /var/lib/apt/lists/* &&     VULKAN_API_VERSION=$(dpkg -s libvulkan1 | grep -oP 'Version: [0-9|\.]+' | grep -oP '[0-9]+(\.[0-9]+)(\.[0-9]+)') &&     mkdir -p /etc/vulkan/icd.d/ &&     echo "{\n\"file_format_version\" : \"1.0.0\",\n\"ICD\": {\n    \"library_path\": \"libGLX_nvidia.so.0\",\n    \"api_version\" : \"${VULKAN_API_VERSION}\"\n}\n}" > /etc/vulkan/icd.d/nvidia_icd.json # buildkit
                        
# 2026-02-06 10:15:26  8.42MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends         libxau6 libxdmcp6 libxcb1 libxext6 libx11-6         libglvnd0 libgl1 libglx0 libegl1 libgles2         libglvnd-dev libgl1-mesa-dev libegl1-mesa-dev libgles2-mesa-dev &&     rm -rf /var/lib/apt/lists/* &&     mkdir -p /usr/share/glvnd/egl_vendor.d/ &&     echo "{\n\"file_format_version\" : \"1.0.0\",\n\"ICD\": {\n    \"library_path\": \"libEGL_nvidia.so.0\"\n}\n}" > /usr/share/glvnd/egl_vendor.d/10_nvidia.json # buildkit
                        
# 2026-02-06 10:15:20  5.89KB 复制新文件或目录到容器中
COPY docker_config /docker_config # buildkit
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 VNC_THREADS
ENV VNC_THREADS=2
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 REMOTE_DESKTOP
ENV REMOTE_DESKTOP=nomachine
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 VGL_DISPLAY
ENV VGL_DISPLAY=egl
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 HTTPS_CERT_KEY
ENV HTTPS_CERT_KEY=/etc/ssl/private/ssl-cert-snakeoil.key
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 HTTPS_CERT
ENV HTTPS_CERT=/etc/ssl/certs/ssl-cert-snakeoil.pem
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=all
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 USER PASSWORD UID GID
ENV USER=ubuntu PASSWORD=ubuntu UID=1000 GID=1000
                        
# 2026-02-06 10:15:20  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2026-02-06 10:15:20  0.00B 
MAINTAINER zhenpeng ge "https://github.com/gezp"
                        
# 2026-02-06 10:15:20  0.00B 添加元数据标签
LABEL maintainer=zhengpeng ge
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 16:43:14  520.40KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:43:14  2.60GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     libtinfo5 libncursesw5     cuda-cudart-dev-11-0=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-0=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-0=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-0=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-0=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-0=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:43:14  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:43:14  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.0
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-0=11.0.221-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.0.221-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-0=11.0.3-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.0.3-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-0=11.2.0.252-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-0
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.2.0.252-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-0=11.1.0.245-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.1.0.245-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.1.1.245-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.0.167-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.0.221-1
                        
# 2023-11-10 16:43:14  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.0.3-1
                        
# 2023-11-10 16:39:51  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 16:39:51  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 16:39:51  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 16:39:51  251.39KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:39:51  1.93GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-11-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-0=${NV_NVTX_VERSION}     libcusparse-11-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:39:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:39:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.0
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.2.0.252-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-0
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.1.1.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.1.0.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.0.167-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.0.3-1
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 16:38:05  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-10 16:38:05  46.00B 执行命令并创建新的镜像层
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
                        
# 2023-11-10 16:38:05  30.66MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-0=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.0 /usr/local/cuda     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.0.3
                        
# 2023-11-10 16:37:55  18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:37:55  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:37:55  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-0
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.0.221-1
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.0 brand=tesla,driver>=418,driver<419
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Id": "sha256:78f0b997de20c6cd0a214806ca68e4cad24fe6ffead02bbd905c1c49b85cf256",
    "RepoTags": [
        "gezp/ubuntu-desktop:20.04-cu11.0.3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop:20.04-cu11.0.3"
    ],
    "RepoDigests": [
        "gezp/ubuntu-desktop@sha256:52af34117630b7b6332c2ffe9f2c7e583ba8cdd26bfb9d9085a22f801742bb66",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/gezp/ubuntu-desktop@sha256:22308dc93234bf6dc00bb47c3cec88f47452b0ac47b0adf8162e5add91b46a7b"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-02-06T02:20:26.16677625Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "zhenpeng ge \"https://github.com/gezp\"",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "22/tcp": {},
            "4000/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.0 brand=tesla,driver\u003e=418,driver\u003c419",
            "NV_CUDA_CUDART_VERSION=11.0.221-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-0",
            "CUDA_VERSION=11.0.3",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=all",
            "NV_CUDA_LIB_VERSION=11.0.3-1",
            "NV_NVTX_VERSION=11.0.167-1",
            "NV_LIBNPP_VERSION=11.1.0.245-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-1",
            "NV_LIBCUSPARSE_VERSION=11.1.1.245-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-0",
            "NV_LIBCUBLAS_VERSION=11.2.0.252-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1",
            "NCCL_VERSION=2.15.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.0",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_CUDA_CUDART_DEV_VERSION=11.0.221-1",
            "NV_NVML_DEV_VERSION=11.0.167-1",
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