docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 linux/arm64

docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 - 国内下载镜像源 浏览次数:61 温馨提示: 这是一个 linux/arm64 系统架构镜像

NVIDIA Cuda 是一个基于 Docker 的容器镜像，用于运行 NVIDIA CUDA GPU 加速计算环境。该镜像提供了 CUDA 11.4 及更高版本的支持，可以在 Linux、Windows 和 macOS 等平台上运行。

源镜像 docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64
镜像ID sha256:52eb781c54ba67cccdd4f41719da17e2c2a51a1a3aeabcce500265e343f4394e
镜像TAG 11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64
大小 11.50GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD bash
启动入口
工作目录
OS/平台 linux/arm64
浏览量 61 次
贡献者
镜像创建 2022-10-28T05:14:48.691653584Z
同步时间 2024-10-25 01:15
更新时间 2024-11-21 13:27
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=sbsa NVIDIA_REQUIRE_CUDA=cuda>=11.1 NV_CUDA_CUDART_VERSION=11.1.74-1 CUDA_VERSION=11.1.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.1.1-1 NV_NVTX_VERSION=11.1.74-1 NV_LIBNPP_VERSION=11.1.2.301-1 NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1 NV_LIBCUSPARSE_VERSION=11.3.0.10-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1 NV_LIBCUBLAS_VERSION=11.3.0.106-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.8.3-1 NCCL_VERSION=2.8.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.8.3-1+cuda11.1 NV_LIBNCCL_PACKAGE_SHA256SUM=d6c414fb2ca20ee7a7d6dfdd5ff6f6ff5aa48a51658d7cc68486f20c3097a1f7 NV_LIBNCCL_PACKAGE_SOURCE=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/sbsa/libnccl2_2.8.3-1+cuda11.1_arm64.deb NV_LIBNCCL_PACKAGE_SOURCE_NAME=libnccl2_2.8.3-1+cuda11.1_arm64.deb NV_CUDA_CUDART_DEV_VERSION=11.1.74-1 NV_NVML_DEV_VERSION=11.1.74-1 NV_LIBCUSPARSE_DEV_VERSION=11.3.0.10-1 NV_LIBNPP_DEV_VERSION=11.1.2.301-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-1=11.1.2.301-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-1 NV_LIBCUBLAS_DEV_VERSION=11.3.0.106-1 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-1=11.3.0.106-1 NV_NVPROF_VERSION=11.1.105-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-1=11.1.105-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.3-1+cuda11.1 NV_LIBNCCL_DEV_PACKAGE_SHA256SUM=c9a0d47598afaab0107b55326ab19fd558e774266c1da80e0d6ff02b809a9672 NV_LIBNCCL_DEV_PACKAGE_SOURCE=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/sbsa/libnccl-dev_2.8.3-1+cuda11.1_arm64.deb NV_LIBNCCL_DEV_PACKAGE_SOURCE_NAME=libnccl-dev_2.8.3-1+cuda11.1_arm64.deb LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=8.0.5.39 NV_CUDNN_PACKAGE_NAME=libcudnn8 NV_CUDNN_PACKAGE=libcudnn8=8.0.5.39-1+cuda11.1 NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.0.5.39-1+cuda11.1
镜像标签
8.0.5.39: com.nvidia.cudnn.version NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer

Docker拉取命令 无权限下载?点我修复 

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04

Shell快速替换命令 

sed -i 's#nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64#' 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/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04-linuxarm64  docker.io/nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04'

镜像历史

大小 创建时间 层信息
6.76GB 2022-10-28 13:14:48 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 13:14:48 LABEL com.nvidia.cudnn.version=8.0.5.39
0.00B 2022-10-28 13:14:48 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-10-28 13:14:48 ARG TARGETARCH
0.00B 2022-10-28 13:14:48 ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.0.5.39-1+cuda11.1
0.00B 2022-10-28 13:14:48 ENV NV_CUDNN_PACKAGE=libcudnn8=8.0.5.39-1+cuda11.1
0.00B 2022-10-28 13:14:48 ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
0.00B 2022-10-28 13:14:48 ENV NV_CUDNN_VERSION=8.0.5.39
0.00B 2022-10-28 12:44:56 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
352.45KB 2022-10-28 12:44:56 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
2.00GB 2022-10-28 12:44:55 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-11-1=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-1=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-1=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-1=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-1=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-1=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 12:37:29 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-10-28 12:37:29 ARG TARGETARCH
171.94MB 2022-10-28 12:37:29 RUN /bin/sh -c wget -q ${NV_LIBNCCL_DEV_PACKAGE_SOURCE} && echo "$NV_LIBNCCL_DEV_PACKAGE_SHA256SUM ${NV_LIBNCCL_DEV_PACKAGE_SOURCE_NAME}" | sha256sum -c --strict - && dpkg -i ${NV_LIBNCCL_DEV_PACKAGE_SOURCE_NAME} && rm -f ${NV_LIBNCCL_DEV_PACKAGE_SOURCE_NAME} && apt-get purge --autoremove -y wget && rm -rf /var/lib/apt/lists/* # buildkit
34.37MB 2022-10-28 12:36:50 RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends wget # buildkit
0.00B 2022-10-28 12:35:45 ENV NV_LIBNCCL_DEV_PACKAGE_SOURCE_NAME=libnccl-dev_2.8.3-1+cuda11.1_arm64.deb
0.00B 2022-10-28 12:35:45 ENV NV_LIBNCCL_DEV_PACKAGE_SOURCE=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/sbsa/libnccl-dev_2.8.3-1+cuda11.1_arm64.deb
0.00B 2022-10-28 12:35:45 ENV NV_LIBNCCL_DEV_PACKAGE_SHA256SUM=c9a0d47598afaab0107b55326ab19fd558e774266c1da80e0d6ff02b809a9672
564.36KB 2022-10-28 12:35:45 RUN /bin/sh -c wget -q ${NV_LIBNCCL_PACKAGE_SOURCE} && echo "$NV_LIBNCCL_PACKAGE_SHA256SUM ${NV_LIBNCCL_PACKAGE_SOURCE_NAME}" | sha256sum -c --strict - && dpkg -i ${NV_LIBNCCL_PACKAGE_SOURCE_NAME} && rm -f ${NV_LIBNCCL_PACKAGE_SOURCE_NAME} && apt-get purge --autoremove -y wget && rm -rf /var/lib/apt/lists/* # buildkit
34.36MB 2022-10-28 12:35:01 RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends wget # buildkit
0.00B 2022-10-28 12:35:01 ENV NV_LIBNCCL_PACKAGE_SOURCE_NAME=libnccl2_2.8.3-1+cuda11.1_arm64.deb
0.00B 2022-10-28 12:35:01 ENV NV_LIBNCCL_PACKAGE_SOURCE=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/sbsa/libnccl2_2.8.3-1+cuda11.1_arm64.deb
0.00B 2022-10-28 12:35:01 ENV NV_LIBNCCL_PACKAGE_SHA256SUM=d6c414fb2ca20ee7a7d6dfdd5ff6f6ff5aa48a51658d7cc68486f20c3097a1f7
0.00B 2022-10-28 12:35:01 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.8.3-1+cuda11.1
0.00B 2022-10-28 12:35:01 ENV NCCL_VERSION=2.8.3-1
0.00B 2022-10-28 12:35:01 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.8.3-1
0.00B 2022-10-28 12:35:01 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2022-10-28 12:35:01 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-1=11.1.105-1
0.00B 2022-10-28 12:35:01 ENV NV_NVPROF_VERSION=11.1.105-1
0.00B 2022-10-28 12:35:01 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-1=11.3.0.106-1
0.00B 2022-10-28 12:35:01 ENV NV_LIBCUBLAS_DEV_VERSION=11.3.0.106-1
0.00B 2022-10-28 12:35:01 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-1
0.00B 2022-10-28 12:35:01 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-1=11.1.2.301-1
0.00B 2022-10-28 12:35:01 ENV NV_LIBNPP_DEV_VERSION=11.1.2.301-1
0.00B 2022-10-28 12:35:01 ENV NV_LIBCUSPARSE_DEV_VERSION=11.3.0.10-1
0.00B 2022-10-28 12:35:01 ENV NV_NVML_DEV_VERSION=11.1.74-1
0.00B 2022-10-28 12:35:01 ENV NV_CUDA_CUDART_DEV_VERSION=11.1.74-1
0.00B 2022-10-28 12:35:01 ENV NV_CUDA_LIB_VERSION=11.1.1-1
249.08KB 2022-10-28 12:28:58 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.24GB 2022-10-28 12:28:57 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-1=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-1=${NV_NVTX_VERSION} libcusparse-11-1=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 12:21:00 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-10-28 12:21:00 ARG TARGETARCH
151.69MB 2022-10-28 12:21:00 RUN /bin/sh -c wget -q ${NV_LIBNCCL_PACKAGE_SOURCE} && echo "$NV_LIBNCCL_PACKAGE_SHA256SUM ${NV_LIBNCCL_PACKAGE_SOURCE_NAME}" | sha256sum -c --strict - && dpkg -i ${NV_LIBNCCL_PACKAGE_SOURCE_NAME} && rm -f ${NV_LIBNCCL_PACKAGE_SOURCE_NAME} && apt-get purge --autoremove -y wget && rm -rf /var/lib/apt/lists/* # buildkit
34.33MB 2022-10-28 12:20:16 RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends wget # buildkit
0.00B 2022-10-28 12:20:16 ENV NV_LIBNCCL_PACKAGE_SOURCE_NAME=libnccl2_2.8.3-1+cuda11.1_arm64.deb
0.00B 2022-10-28 12:20:16 ENV NV_LIBNCCL_PACKAGE_SOURCE=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/sbsa/libnccl2_2.8.3-1+cuda11.1_arm64.deb
0.00B 2022-10-28 12:20:16 ENV NV_LIBNCCL_PACKAGE_SHA256SUM=d6c414fb2ca20ee7a7d6dfdd5ff6f6ff5aa48a51658d7cc68486f20c3097a1f7
0.00B 2022-10-28 12:20:16 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.8.3-1+cuda11.1
0.00B 2022-10-28 12:20:16 ENV NCCL_VERSION=2.8.3-1
0.00B 2022-10-28 12:20:16 ENV NV_LIBNCCL_PACKAGE_VERSION=2.8.3-1
0.00B 2022-10-28 12:20:16 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2022-10-28 12:20:16 ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1
0.00B 2022-10-28 12:20:16 ENV NV_LIBCUBLAS_VERSION=11.3.0.106-1
0.00B 2022-10-28 12:20:16 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1
0.00B 2022-10-28 12:20:16 ENV NV_LIBCUSPARSE_VERSION=11.3.0.10-1
0.00B 2022-10-28 12:20:16 ENV NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1
0.00B 2022-10-28 12:20:16 ENV NV_LIBNPP_VERSION=11.1.2.301-1
0.00B 2022-10-28 12:20:16 ENV NV_NVTX_VERSION=11.1.74-1
0.00B 2022-10-28 12:20:16 ENV NV_CUDA_LIB_VERSION=11.1.1-1
0.00B 2022-10-28 12:19:14 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2022-10-28 12:19:14 ENV NVIDIA_VISIBLE_DEVICES=all
16.05KB 2022-10-28 12:19:14 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2022-10-28 12:19:14 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2022-10-28 12:19:14 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2022-10-28 12:19:14 RUN |1 TARGETARCH=arm64 /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
1.09MB 2022-10-28 12:19:13 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && ln -s cuda-11.1 /usr/local/cuda && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 12:18:27 ENV CUDA_VERSION=11.1.1
14.76MB 2022-10-28 12:18:27 RUN |1 TARGETARCH=arm64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2022-10-28 12:18:27 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2022-10-28 12:18:27 ARG TARGETARCH
0.00B 2022-10-28 12:18:27 ENV NV_CUDA_CUDART_VERSION=11.1.74-1
0.00B 2022-10-28 12:18:27 ENV NVIDIA_REQUIRE_CUDA=cuda>=11.1
0.00B 2022-10-28 12:18:27 ENV NVARCH=sbsa
0.00B 2022-10-25 13:54:56 /bin/sh -c #(nop) CMD ["bash"]
56.66MB 2022-10-25 13:54:56 /bin/sh -c #(nop) ADD file:585011162da73734395f2ef251ad89b72cfed0101c7da2435fac55061f99b516 in /

镜像信息 

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    "Id": "sha256:52eb781c54ba67cccdd4f41719da17e2c2a51a1a3aeabcce500265e343f4394e",
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2022-10-28T05:14:48.691653584Z",
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    "DockerVersion": "",
    "Author": "",
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        "AttachStdin": false,
        "AttachStdout": false,
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        "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=sbsa",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.1",
            "NV_CUDA_CUDART_VERSION=11.1.74-1",
            "CUDA_VERSION=11.1.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.1.1-1",
            "NV_NVTX_VERSION=11.1.74-1",
            "NV_LIBNPP_VERSION=11.1.2.301-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1",
            "NV_LIBCUSPARSE_VERSION=11.3.0.10-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1",
            "NV_LIBCUBLAS_VERSION=11.3.0.106-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.8.3-1",
            "NCCL_VERSION=2.8.3-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.8.3-1+cuda11.1",
            "NV_LIBNCCL_PACKAGE_SHA256SUM=d6c414fb2ca20ee7a7d6dfdd5ff6f6ff5aa48a51658d7cc68486f20c3097a1f7",
            "NV_LIBNCCL_PACKAGE_SOURCE=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/sbsa/libnccl2_2.8.3-1+cuda11.1_arm64.deb",
            "NV_LIBNCCL_PACKAGE_SOURCE_NAME=libnccl2_2.8.3-1+cuda11.1_arm64.deb",
            "NV_CUDA_CUDART_DEV_VERSION=11.1.74-1",
            "NV_NVML_DEV_VERSION=11.1.74-1",
            "NV_LIBCUSPARSE_DEV_VERSION=11.3.0.10-1",
            "NV_LIBNPP_DEV_VERSION=11.1.2.301-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-1=11.1.2.301-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-1",
            "NV_LIBCUBLAS_DEV_VERSION=11.3.0.106-1",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-1=11.3.0.106-1",
            "NV_NVPROF_VERSION=11.1.105-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-1=11.1.105-1",
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