docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04 linux/amd64

docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04 - 国内下载镜像源 浏览次数:460

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:12.2.2-devel-ubuntu22.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04
镜像ID sha256:b56b435576e8cbff91068f1263553a7f5e9aec48fff50a9950d811749fd39c8f
镜像TAG 12.2.2-devel-ubuntu22.04
大小 6.95GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录
OS/平台 linux/amd64
浏览量 460 次
贡献者
镜像创建 2023-11-10T05:10:59.125961208Z
同步时间 2024-09-07 06:32
更新时间 2025-01-20 05:31
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=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.2 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 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NV_CUDA_CUDART_VERSION=12.2.140-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 CUDA_VERSION=12.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.2.2-1 NV_NVTX_VERSION=12.2.140-1 NV_LIBNPP_VERSION=12.2.1.4-1 NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1 NV_LIBCUSPARSE_VERSION=12.1.2.141-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2 NV_LIBCUBLAS_VERSION=12.2.5.6-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1 NCCL_VERSION=2.19.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.2.140-1 NV_NVML_DEV_VERSION=12.2.140-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1 NV_LIBNPP_DEV_VERSION=12.2.1.4-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1 NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1 NV_NVPROF_VERSION=12.2.142-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2 LIBRARY_PATH=/usr/local/cuda/lib64/stubs
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

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:12.2.2-devel-ubuntu22.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04  docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04  docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04

Shell快速替换命令

sed -i 's#nvidia/cuda:12.2.2-devel-ubuntu22.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04#' 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:12.2.2-devel-ubuntu22.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04  docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04'

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:12.2.2-devel-ubuntu22.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04  docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04'

镜像构建历史


# 2023-11-10 13:10:59  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 13:10:59  387.39KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 13:10:57  4.77GB 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-dev-12-2=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-12-2=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-2=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-2=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-2=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-2=${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 13:10:57  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 13:10:57  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.2.142-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.1.4-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.2.140-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.2.140-1
                        
# 2023-11-10 13:10:57  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2023-11-10 12:59:11  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 12:59:11  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 12:59:11  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 12:59:11  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 12:59:11  261.40KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 12:59:10  1.95GB 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-12-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-2=${NV_NVTX_VERSION}     libcusparse-12-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:59:10  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:59:10  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-2=12.2.5.6-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.2.5.6-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.2.141-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.1.4-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.2.140-1
                        
# 2023-11-10 12:59:10  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2023-11-10 12:57:28  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 12:57:28  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 12:57:28  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 12:57:28  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 12:57:28  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 12:57:28  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 12:57:28  150.49MB 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-12-2=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.2
                        
# 2023-11-10 12:56:27  10.56MB 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 -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
                        
# 2023-11-10 12:56:27  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 12:56:27  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.140-1
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 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 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
                        
# 2023-11-10 12:56:27  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:b56b435576e8cbff91068f1263553a7f5e9aec48fff50a9950d811749fd39c8f",
    "RepoTags": [
        "nvidia/cuda:12.2.2-devel-ubuntu22.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.2.2-devel-ubuntu22.04"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:ae8a022c02aec945c4f8c52f65deaf535de7abb58e840350d19391ec683f4980",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:b5324199646e0c564774dc7fa820ff6c9b55e8aee46e14339961b0a9341be64a"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-11-10T05:10:59.125961208Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "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=12.2 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.2.140-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2",
            "CUDA_VERSION=12.2.2",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.2.2-1",
            "NV_NVTX_VERSION=12.2.140-1",
            "NV_LIBNPP_VERSION=12.2.1.4-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-2=12.2.1.4-1",
            "NV_LIBCUSPARSE_VERSION=12.1.2.141-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-2",
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}

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