镜像构建历史
# 2025-05-04 02:45:06 1.18GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c ${PKG_CMD} install -y ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && ${PKG_CMD} clean all && rm -rf /var/cache/yum/* # buildkit
# 2025-05-04 02:45:06 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.9.0.52-1
# 2025-05-04 02:45:06 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
# 2025-05-04 02:45:06 0.00B 定义构建参数
ARG TARGETARCH
# 2025-05-04 02:45:06 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-devel-cuda-12-9.9.0.52-1
# 2025-05-04 02:45:06 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12-9.9.0.52-1
# 2025-05-04 02:45:06 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.9.0.52-1
# 2025-05-04 02:45:06 0.00B 设置环境变量 PKG_CMD
ENV PKG_CMD=yum
# 2025-05-04 01:53:08 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2025-05-04 01:53:08 5.80GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c ${PKG_CMD} install -y make findutils cuda-command-line-tools-12-9-${NV_CUDA_LIB_VERSION} cuda-libraries-devel-12-9-${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-9-${NV_CUDA_LIB_VERSION} cuda-cudart-devel-12-9-${NV_CUDA_CUDART_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} cuda-nvml-devel-12-9-${NV_NVML_DEV_VERSION} libcublas-devel-12-9-${NV_LIBCUBLAS_DEV_VERSION} ${NV_LIBNPP_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && ${PKG_CMD} clean all && rm -rf /var/cache/yum/* # buildkit
# 2025-05-04 01:53:08 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
# 2025-05-04 01:53:08 0.00B 定义构建参数
ARG TARGETARCH
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-9-12.9.0-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.9.0-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.26.5-1+cuda12.9
# 2025-05-04 01:53:08 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.26.5
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.26.5-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-devel-12-9-12.4.0.27-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.4.0.27-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.9.0.13-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.9.40-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.9.37-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-9-12.9.19-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.9.19-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.9.0-1
# 2025-05-04 01:53:08 0.00B 设置环境变量 PKG_CMD
ENV PKG_CMD=yum
# 2025-05-04 01:36:53 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2025-05-04 01:36:53 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2025-05-04 01:36:53 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2025-05-04 01:36:53 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2025-05-04 01:36:53 3.45GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c ${PKG_CMD} install -y cuda-libraries-12-9-${NV_CUDA_LIB_VERSION} cuda-nvtx-12-9-${NV_NVTX_VERSION} ${NV_LIBNPP_PACKAGE} libcublas-12-9-${NV_LIBCUBLAS_VERSION} ${NV_LIBNCCL_PACKAGE} && ${PKG_CMD} clean all && rm -rf /var/cache/yum/* # buildkit
# 2025-05-04 01:36:53 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
# 2025-05-04 01:36:53 0.00B 定义构建参数
ARG TARGETARCH
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl-2.26.5-1+cuda12.9
# 2025-05-04 01:36:53 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.26.5
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_LIBNCCL_VERSION
ENV NV_LIBNCCL_VERSION=2.26.5
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.26.5-1
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.9.0.13-1
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-9-12.4.0.27-1
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.4.0.27-1
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.9.19-1
# 2025-05-04 01:36:53 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.9.0-1
# 2025-05-04 01:36:53 0.00B 设置环境变量 PKG_CMD
ENV PKG_CMD=yum
# 2025-05-04 01:33:56 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-05-04 01:33:56 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-05-04 01:33:56 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-05-04 01:33:56 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
# 2025-05-04 01:33:56 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-05-04 01:33:56 22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2025-05-04 01:33:56 261.68MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c ${PKG_CMD} upgrade -y && ${PKG_CMD} install -y cuda-cudart-12-9-${NV_CUDA_CUDART_VERSION} cuda-compat-12-9 && ${PKG_CMD} clean all && rm -rf /var/cache/yum/* # buildkit
# 2025-05-04 01:33:32 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.9.0
# 2025-05-04 01:33:32 1.61KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel8/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && echo "$NVIDIA_GPGKEY_SUM /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict - # buildkit
# 2025-05-04 01:33:32 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
# 2025-05-04 01:33:32 0.00B 定义构建参数
ARG TARGETARCH
# 2025-05-04 01:33:32 165.00B 复制新文件或目录到容器中
COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo # buildkit
# 2025-05-04 01:33:32 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.9.37-1
# 2025-05-04 01:33:32 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 brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand 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>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571
# 2025-05-04 01:33:32 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2025-05-04 01:33:32 0.00B 设置环境变量 PKG_CMD
ENV PKG_CMD=yum
# 2025-04-16 17:13:41 205.18MB
/bin/sh -c mv -fZ /tmp/ubi.repo /etc/yum.repos.d/ubi.repo || :
# 2025-04-16 17:13:40 0.00B
/bin/sh -c rm -f /tmp/tls-ca-bundle.pem
# 2025-04-16 17:13:39 0.00B
/bin/sh -c rm -f '/etc/yum.repos.d/repo-ba3f3.repo' '/etc/yum.repos.d/repo-c6679.repo'
# 2025-04-16 17:13:38 0.00B
/bin/sh -c #(nop) LABEL "distribution-scope"="public" "vendor"="Red Hat, Inc." "build-date"="2025-04-16T09:03:22" "architecture"="x86_64" "vcs-type"="git" "vcs-ref"="967861a8dbbb288b8cec9f1fee7ccbf6c7ee9a20" "io.k8s.description"="The Universal Base Image is designed and engineered to be the base layer for all of your containerized applications, middleware and utilities. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly." "url"="https://access.redhat.com/containers/#/registry.access.redhat.com/ubi8/images/8.10-1262"
# 2025-04-16 17:13:38 0.00B
/bin/sh -c #(nop) ADD file:8b7562eab7b54cfad5f59c6c51b7b17184f70694c09dd423d7e4b5b04bd4c511 in /root/buildinfo/Dockerfile-ubi8-8.10-1262
# 2025-04-16 17:13:38 0.00B
/bin/sh -c #(nop) ADD file:6d7260d57f2cebedb04acd37c9ccd87e7c568f6be53a8842c86623082af045ce in /root/buildinfo/content_manifests/ubi8-container-8.10-1262.json
# 2025-04-16 17:13:38 0.00B
/bin/sh -c #(nop) LABEL release=1262
# 2025-04-16 17:13:38 0.00B
/bin/sh -c mkdir -p /var/log/rhsm
# 2025-04-16 17:13:38 0.00B
/bin/sh -c rm -rf /var/log/*
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) ENV PATH /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) ENV container oci
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) LABEL io.openshift.tags="base rhel8"
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) LABEL io.openshift.expose-services=""
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) LABEL io.k8s.display-name="Red Hat Universal Base Image 8"
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) LABEL description="The Universal Base Image is designed and engineered to be the base layer for all of your containerized applications, middleware and utilities. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly."
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) LABEL summary="Provides the latest release of Red Hat Universal Base Image 8."
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) LABEL com.redhat.license_terms="https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI"
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) LABEL com.redhat.component="ubi8-container" name="ubi8" version="8.10"
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) LABEL maintainer="Red Hat, Inc."
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) ADD multi:d7c6a0863b5a33b3038eda733414ece7091372501b255c430df066f009e99c5c in /etc/yum.repos.d/
# 2025-04-16 17:13:37 0.00B
/bin/sh -c #(nop) ADD file:df13b6a4fdeac4626ab7cd7e99d16d30edc6e3e5441295ae7691bee26604a5b1 in /tmp/tls-ca-bundle.pem
# 2025-04-16 17:13:37 0.00B
/bin/sh -c mv -f /etc/yum.repos.d/ubi.repo /tmp || :
# 2025-04-16 17:13:36 0.00B
/bin/sh -c #(nop) ADD file:0b41f33c82f493838bf2656cebe762e8df2b1878fce13ac63e2fdf581ee6894f in /
镜像信息
{
"Id": "sha256:fb28e183587e51732f4e48752bc6f4eba1828f7b94b2ce715469276660f93e3f",
"RepoTags": [
"nvidia/cuda:12.9.0-cudnn-devel-ubi8",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.9.0-cudnn-devel-ubi8"
],
"RepoDigests": [
"nvidia/cuda@sha256:3e576d29b3b864fb566e6d62cf30476c1f6b5758244ad2487d5cc73d1a6a476e",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:3eca1b5178ed7c3279fb3812e7f92c0baae866eb6d397ada9fd6bc619926b919"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-05-03T18:45:06.990485446Z",
"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/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"container=oci",
"PKG_CMD=yum",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=12.9 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551 brand=unknown,driver\u003e=560,driver\u003c561 brand=grid,driver\u003e=560,driver\u003c561 brand=tesla,driver\u003e=560,driver\u003c561 brand=nvidia,driver\u003e=560,driver\u003c561 brand=quadro,driver\u003e=560,driver\u003c561 brand=quadrortx,driver\u003e=560,driver\u003c561 brand=nvidiartx,driver\u003e=560,driver\u003c561 brand=vapps,driver\u003e=560,driver\u003c561 brand=vpc,driver\u003e=560,driver\u003c561 brand=vcs,driver\u003e=560,driver\u003c561 brand=vws,driver\u003e=560,driver\u003c561 brand=cloudgaming,driver\u003e=560,driver\u003c561 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566 brand=unknown,driver\u003e=570,driver\u003c571 brand=grid,driver\u003e=570,driver\u003c571 brand=tesla,driver\u003e=570,driver\u003c571 brand=nvidia,driver\u003e=570,driver\u003c571 brand=quadro,driver\u003e=570,driver\u003c571 brand=quadrortx,driver\u003e=570,driver\u003c571 brand=nvidiartx,driver\u003e=570,driver\u003c571 brand=vapps,driver\u003e=570,driver\u003c571 brand=vpc,driver\u003e=570,driver\u003c571 brand=vcs,driver\u003e=570,driver\u003c571 brand=vws,driver\u003e=570,driver\u003c571 brand=cloudgaming,driver\u003e=570,driver\u003c571",
"NV_CUDA_CUDART_VERSION=12.9.37-1",
"CUDA_VERSION=12.9.0",
"LD_LIBRARY_PATH=/usr/local/cuda/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
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