docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8 linux/amd64

docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8 - 国内下载镜像源 浏览次数:102

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:12.8.1-cudnn-devel-ubi8
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8
镜像ID sha256:76e5a83bc9af955ee2b77a60163c077e469d272b1b4cf60232d69449db490c15
镜像TAG 12.8.1-cudnn-devel-ubi8
大小 10.09GB
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 102 次
贡献者
镜像创建 2025-03-13T14:48:25.971801091Z
同步时间 2025-05-13 00:53
更新时间 2025-07-10 10:56
环境变量
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>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 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 NV_CUDA_CUDART_VERSION=12.8.90-1 CUDA_VERSION=12.8.1 LD_LIBRARY_PATH=/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.8.1-1 NV_NVTX_VERSION=12.8.90-1 NV_LIBNPP_VERSION=12.3.3.100-1 NV_LIBNPP_PACKAGE=libnpp-12-8-12.3.3.100-1 NV_LIBCUBLAS_VERSION=12.8.4.1-1 NV_LIBNCCL_PACKAGE_NAME=libnccl NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1 NV_LIBNCCL_VERSION=2.25.1 NCCL_VERSION=2.25.1 NV_LIBNCCL_PACKAGE=libnccl-2.25.1-1+cuda12.8 NVIDIA_PRODUCT_NAME=CUDA NV_NVPROF_VERSION=12.8.90-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8-12.8.90-1 NV_CUDA_CUDART_DEV_VERSION=12.8.90-1 NV_NVML_DEV_VERSION=12.8.90-1 NV_LIBCUBLAS_DEV_VERSION=12.8.4.1-1 NV_LIBNPP_DEV_VERSION=12.3.3.100-1 NV_LIBNPP_DEV_PACKAGE=libnpp-devel-12-8-12.3.3.100-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.25.1-1+cuda12.8 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8-12.8.1-1 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_CUDNN_VERSION=9.8.0.87-1 NV_CUDNN_PACKAGE=libcudnn9-cuda-12-9.8.0.87-1 NV_CUDNN_PACKAGE_DEV=libcudnn9-devel-cuda-12-9.8.0.87-1
镜像标签
x86_64: architecture 2025-03-04T16:18:23: build-date 9.8.0.87-1: com.nvidia.cudnn.version ubi8-container: com.redhat.component https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI: com.redhat.license_terms 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.: description public: distribution-scope 1.33.12: io.buildah.version 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.: io.k8s.description Red Hat Universal Base Image 8: io.k8s.display-name : io.openshift.expose-services base rhel8: io.openshift.tags NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>: maintainer ubi8: name 1222: release Provides the latest release of Red Hat Universal Base Image 8.: summary https://access.redhat.com/containers/#/registry.access.redhat.com/ubi8/images/8.10-1222: url 967861a8dbbb288b8cec9f1fee7ccbf6c7ee9a20: vcs-ref git: vcs-type Red Hat, Inc.: vendor 8.10: version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8  docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8  docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8

Shell快速替换命令

sed -i 's#nvidia/cuda:12.8.1-cudnn-devel-ubi8#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8#' 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:12.8.1-cudnn-devel-ubi8 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8  docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8'

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:12.8.1-cudnn-devel-ubi8 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8  docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8'

镜像构建历史


# 2025-03-13 22:48:25  1.08GB 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
                        
# 2025-03-13 22:48:25  0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=9.8.0.87-1
                        
# 2025-03-13 22:48:25  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
                        
# 2025-03-13 22:48:25  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-13 22:48:25  0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn9-devel-cuda-12-9.8.0.87-1
                        
# 2025-03-13 22:48:25  0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn9-cuda-12-9.8.0.87-1
                        
# 2025-03-13 22:48:25  0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=9.8.0.87-1
                        
# 2025-03-13 22:48:25  0.00B 设置环境变量 PKG_CMD
ENV PKG_CMD=yum
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2025-03-13 22:23:20  5.46GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c ${PKG_CMD} install -y     make     findutils     cuda-command-line-tools-12-8-${NV_CUDA_LIB_VERSION}     cuda-libraries-devel-12-8-${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-8-${NV_CUDA_LIB_VERSION}     cuda-cudart-devel-12-8-${NV_CUDA_CUDART_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     cuda-nvml-devel-12-8-${NV_NVML_DEV_VERSION}     libcublas-devel-12-8-${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
                        
# 2025-03-13 22:23:20  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
                        
# 2025-03-13 22:23:20  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8-12.8.1-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.1-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.25.1-1+cuda12.8
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-devel-12-8-12.3.3.100-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.3.100-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.8.4.1-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.8.90-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.8.90-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8-12.8.90-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.8.90-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
                        
# 2025-03-13 22:23:20  0.00B 设置环境变量 PKG_CMD
ENV PKG_CMD=yum
                        
# 2025-03-13 22:09:54  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-03-13 22:09:54  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-03-13 22:09:54  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-03-13 22:09:54  3.13GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c ${PKG_CMD} install -y     cuda-libraries-12-8-${NV_CUDA_LIB_VERSION}     cuda-nvtx-12-8-${NV_NVTX_VERSION}     ${NV_LIBNPP_PACKAGE}     libcublas-12-8-${NV_LIBCUBLAS_VERSION}     ${NV_LIBNCCL_PACKAGE}     && ${PKG_CMD} clean all     && rm -rf /var/cache/yum/* # buildkit
                        
# 2025-03-13 22:09:54  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
                        
# 2025-03-13 22:09:54  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl-2.25.1-1+cuda12.8
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_LIBNCCL_VERSION
ENV NV_LIBNCCL_VERSION=2.25.1
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.4.1-1
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8-12.3.3.100-1
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.100-1
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.90-1
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.1-1
                        
# 2025-03-13 22:09:54  0.00B 设置环境变量 PKG_CMD
ENV PKG_CMD=yum
                        
# 2025-03-13 22:07:10  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-03-13 22:07:10  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-03-13 22:07:10  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-03-13 22:07:10  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-03-13 22:07:10  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
                        
# 2025-03-13 22:07:10  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
                        
# 2025-03-13 22:07:10  219.84MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c ${PKG_CMD} upgrade -y && ${PKG_CMD} install -y     cuda-cudart-12-8-${NV_CUDA_CUDART_VERSION}     cuda-compat-12-8     && ${PKG_CMD} clean all     && rm -rf /var/cache/yum/* # buildkit
                        
# 2025-03-13 22:06:55  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.1
                        
# 2025-03-13 22:06:55  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
                        
# 2025-03-13 22:06:54  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <sw-cuda-installer@nvidia.com>
                        
# 2025-03-13 22:06:54  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-03-13 22:06:54  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
                        
# 2025-03-13 22:06:54  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.90-1
                        
# 2025-03-13 22:06:54  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>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 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
                        
# 2025-03-13 22:06:54  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-03-13 22:06:54  0.00B 设置环境变量 PKG_CMD
ENV PKG_CMD=yum
                        
# 2025-03-05 00:31:01  205.07MB 
/bin/sh -c mv -fZ /tmp/ubi.repo /etc/yum.repos.d/ubi.repo || :
                        
# 2025-03-05 00:30:59  0.00B 
/bin/sh -c rm -f /tmp/tls-ca-bundle.pem
                        
# 2025-03-05 00:30:59  0.00B 
/bin/sh -c rm -f '/etc/yum.repos.d/repo-b9d39.repo' '/etc/yum.repos.d/repo-f8513.repo'
                        
# 2025-03-05 00:30:58  0.00B 
/bin/sh -c #(nop) LABEL "distribution-scope"="public" "vendor"="Red Hat, Inc." "build-date"="2025-03-04T16:18:23" "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/8.10-1222"
                        
# 2025-03-05 00:30:58  0.00B 
/bin/sh -c #(nop) ADD file:8a09e5501f62db2f807501d8e21546630cb2ef1be7dd7579e8b3485d5926192c in /root/buildinfo/Dockerfile-ubi8-8.10-1222 
                        
# 2025-03-05 00:30:58  0.00B 
/bin/sh -c #(nop) ADD file:d6eddfc12b4bb68d07491de5ed652bec92d3d5f53d25c752cbe231e3fe9b627f in /root/buildinfo/content_manifests/ubi8-container-8.10-1222.json 
                        
# 2025-03-05 00:30:58  0.00B 
/bin/sh -c #(nop) LABEL release=1222
                        
# 2025-03-05 00:30:58  0.00B 
/bin/sh -c mkdir -p /var/log/rhsm
                        
# 2025-03-05 00:30:57  0.00B 
/bin/sh -c rm -rf /var/log/*
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) CMD ["/bin/bash"]
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) ENV PATH /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) ENV container oci
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) LABEL io.openshift.tags="base rhel8"
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) LABEL io.openshift.expose-services=""
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) LABEL io.k8s.display-name="Red Hat Universal Base Image 8"
                        
# 2025-03-05 00:30:56  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."
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) LABEL summary="Provides the latest release of Red Hat Universal Base Image 8."
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) LABEL com.redhat.license_terms="https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI"
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) LABEL com.redhat.component="ubi8-container"       name="ubi8"       version="8.10"
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) LABEL maintainer="Red Hat, Inc."
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) ADD multi:0e488e0eda70358f759c08b76a1c41f01aca9a2821b0b85f4e3ba9cfd11cc42c in /etc/yum.repos.d/ 
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c #(nop) ADD file:df13b6a4fdeac4626ab7cd7e99d16d30edc6e3e5441295ae7691bee26604a5b1 in /tmp/tls-ca-bundle.pem 
                        
# 2025-03-05 00:30:56  0.00B 
/bin/sh -c mv -f /etc/yum.repos.d/ubi.repo /tmp || :
                        
# 2025-03-05 00:30:55  0.00B 
/bin/sh -c #(nop) ADD file:0a4eacf2987c72ee28202dfa8229119e446ee7d4ba49cfd9193780888c17c2e6 in / 
                        
                    

镜像信息

{
    "Id": "sha256:76e5a83bc9af955ee2b77a60163c077e469d272b1b4cf60232d69449db490c15",
    "RepoTags": [
        "nvidia/cuda:12.8.1-cudnn-devel-ubi8",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8"
    ],
    "RepoDigests": [
        "nvidia/cuda@sha256:5663c64020eb2b093039fb2923ff57f8cf7c40765ca49706ad9e468474926df0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda@sha256:b50eb7b68627333e2901348f8aeef32d3200156de400c7f5fff8633583140b19"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-03-13T14:48:25.971801091Z",
    "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=12.8 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 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",
            "NV_CUDA_CUDART_VERSION=12.8.90-1",
            "CUDA_VERSION=12.8.1",
            "LD_LIBRARY_PATH=/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.8.1-1",
            "NV_NVTX_VERSION=12.8.90-1",
            "NV_LIBNPP_VERSION=12.3.3.100-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-8-12.3.3.100-1",
            "NV_LIBCUBLAS_VERSION=12.8.4.1-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl",
            "NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1",
            "NV_LIBNCCL_VERSION=2.25.1",
            "NCCL_VERSION=2.25.1",
            "NV_LIBNCCL_PACKAGE=libnccl-2.25.1-1+cuda12.8",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "NV_NVPROF_VERSION=12.8.90-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8-12.8.90-1",
            "NV_CUDA_CUDART_DEV_VERSION=12.8.90-1",
            "NV_NVML_DEV_VERSION=12.8.90-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.8.4.1-1",
            "NV_LIBNPP_DEV_VERSION=12.3.3.100-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-devel-12-8-12.3.3.100-1",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.25.1-1+cuda12.8",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.1-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8-12.8.1-1",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
            "NV_CUDNN_VERSION=9.8.0.87-1",
            "NV_CUDNN_PACKAGE=libcudnn9-cuda-12-9.8.0.87-1",
            "NV_CUDNN_PACKAGE_DEV=libcudnn9-devel-cuda-12-9.8.0.87-1"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "architecture": "x86_64",
            "build-date": "2025-03-04T16:18:23",
            "com.nvidia.cudnn.version": "9.8.0.87-1",
            "com.redhat.component": "ubi8-container",
            "com.redhat.license_terms": "https://www.redhat.com/en/about/red-hat-end-user-license-agreements#UBI",
            "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.",
            "distribution-scope": "public",
            "io.buildah.version": "1.33.12",
            "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.",
            "io.k8s.display-name": "Red Hat Universal Base Image 8",
            "io.openshift.expose-services": "",
            "io.openshift.tags": "base rhel8",
            "maintainer": "NVIDIA CORPORATION \u003csw-cuda-installer@nvidia.com\u003e",
            "name": "ubi8",
            "release": "1222",
            "summary": "Provides the latest release of Red Hat Universal Base Image 8.",
            "url": "https://access.redhat.com/containers/#/registry.access.redhat.com/ubi8/images/8.10-1222",
            "vcs-ref": "967861a8dbbb288b8cec9f1fee7ccbf6c7ee9a20",
            "vcs-type": "git",
            "vendor": "Red Hat, Inc.",
            "version": "8.10"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 10093401000,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/2f9f068b8ffc7b8830e385732e1c9281972416ca344f9cc4a8d9e141a6e4abb5/diff:/var/lib/docker/overlay2/aebd34e0c270701028d88dac5c114ce7713471dfedab077dec28af2036670528/diff:/var/lib/docker/overlay2/c7cd6c747634f0af08e17ec63798fdab3ad4b3e92643769d16b0ea221c28abdc/diff:/var/lib/docker/overlay2/f1bfc39f0bd7277b92f7ab6f690f81180dcf2346229ff9e8529ff589d44ad419/diff:/var/lib/docker/overlay2/69e71e38b732ab0c6d0bbba60a7184b1ffb233de6a266de93a71b6b1faedf399/diff:/var/lib/docker/overlay2/f8b55025e2d98190783665f7d2e2fc85ce76ec2cae60fe972bf6746237e16b47/diff:/var/lib/docker/overlay2/c566397320e5c6a3d2086ec5ce985b111a93eee8ed73253e8d5f2092f655ee2a/diff:/var/lib/docker/overlay2/e4567092888d6d67c4d6050c3c49d3aee88ab3ae299c1a2342abecfa71c62aef/diff:/var/lib/docker/overlay2/ceb68f192af8a16556f6bc9e7477a211ae60089bc2814cb0ed64affc324aa6e7/diff:/var/lib/docker/overlay2/b45bc2707f6325687cdd4b47fb42816617f205d3c59366738acf1c9981685045/diff",
            "MergedDir": "/var/lib/docker/overlay2/ff8b32b4ded7d733000d0424f5c8cd59470dfa268e9a9b32e9386a60cb9dcbe5/merged",
            "UpperDir": "/var/lib/docker/overlay2/ff8b32b4ded7d733000d0424f5c8cd59470dfa268e9a9b32e9386a60cb9dcbe5/diff",
            "WorkDir": "/var/lib/docker/overlay2/ff8b32b4ded7d733000d0424f5c8cd59470dfa268e9a9b32e9386a60cb9dcbe5/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:3c0ff7e6e33c3f053213221f9354e070e58ea8789412347ca30386132b05fb03",
            "sha256:e3a3a3211f9f9eec5711d090a8bfe464e9cd65cfc4f2026a9d91657de200dd33",
            "sha256:f81bd8c7e67504199a56166f40556b6ab9fab61297824c4d9741ea6385e128b5",
            "sha256:99a358eb9f23bdf33ce3cb7032c9db95121298ad1e033e8c265a14e7cf20ca26",
            "sha256:2a3d3cc8220f863be515e36d9614f89dd757ce1876d6544240776b7b089848c7",
            "sha256:94a99a25d7069405277be3f51f21564ad41708cf854662981625e7213bb46d4e",
            "sha256:842bcc79ef3ccbcb6b3e80ca2a3b883aa5ff247f2faed0b2d78e1f3de2d08096",
            "sha256:91be7491f77e873592a7442d93c243d74dba4371a62e9bcee6688fe8ceb5543e",
            "sha256:bf01976f9e51a7a761712f209584be49ea9c68edc50a0afc909af73b9edb1bbd",
            "sha256:9d8b53b059c477f5412546d14c00236ec7cefb9523d0c490fe623cd8967abecd",
            "sha256:be750ff170f6f839d4c9a765a0a2f00b39c192bf7eea956944fa7cad0a7d6d26"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-05-13T00:41:39.246379462+08:00"
    }
}

更多版本

docker.io/nvidia/cuda:12.5.0-devel-ubuntu22.04

linux/amd64 docker.io7.15GB2024-06-20 11:42
2273

docker.io/nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04

linux/amd64 docker.io8.95GB2024-06-20 14:34
1857

docker.io/nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04

linux/amd64 docker.io3.38GB2024-07-01 14:24
2654

docker.io/nvidia/cuda:12.1.0-cudnn8-devel-ubuntu20.04

linux/amd64 docker.io9.47GB2024-07-30 15:12
1192

docker.io/nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io9.49GB2024-08-13 17:50
885

docker.io/nvidia/cuda:11.3.1-cudnn8-runtime-ubuntu20.04

linux/amd64 docker.io3.30GB2024-08-16 11:53
717

docker.io/nvidia/cuda:12.4.1-base-ubuntu22.04

linux/amd64 docker.io244.38MB2024-08-17 21:23
2533

docker.io/nvidia/cuda:12.6.0-cudnn-devel-ubuntu24.04

linux/amd64 docker.io8.11GB2024-08-19 01:52
1152

docker.io/nvidia/cuda:12.3.2-cudnn9-runtime-ubuntu20.04

linux/amd64 docker.io3.25GB2024-08-20 10:28
522

docker.io/nvidia/cuda:12.4.1-devel-ubuntu22.04

linux/amd64 docker.io7.27GB2024-08-23 23:27
1061

docker.io/nvidia/cuda:12.4.1-devel-ubuntu22.04

linux/amd64 docker.io7.27GB2024-08-26 13:41
1

docker.io/nvidia/cuda:12.4.1-devel-ubuntu22.04

linux/arm64 docker.io5.92GB2024-08-26 13:59
1140

docker.io/nvidia/cuda:12.3.2-cudnn9-devel-ubuntu20.04

linux/amd64 docker.io8.09GB2024-09-02 16:14
519

docker.io/nvidia/cuda:12.6.0-runtime-ubuntu24.04

linux/amd64 docker.io2.31GB2024-09-03 16:29
1347

docker.io/nvidia/cuda:12.3.1-base-ubuntu22.04

linux/amd64 docker.io243.31MB2024-09-03 18:25
675

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

linux/amd64 docker.io6.95GB2024-09-07 06:32
1020

docker.io/nvidia/cuda:12.1.0-cudnn8-runtime-ubuntu20.04

linux/amd64 docker.io3.37GB2024-09-13 14:34
954

docker.io/nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04

linux/amd64 docker.io3.32GB2024-09-20 10:06
948

docker.io/nvidia/cuda:12.5.1-base-rockylinux9

linux/amd64 docker.io450.12MB2024-09-23 11:50
460

docker.io/nvidia/cuda:12.6.1-base-ubi9

linux/amd64 docker.io390.99MB2024-09-23 15:33
927

docker.io/nvidia/cuda:12.6.1-cudnn-devel-ubuntu22.04

linux/amd64 docker.io8.05GB2024-09-24 00:39
982

docker.io/nvidia/cuda:12.6.1-devel-rockylinux9

linux/amd64 docker.io7.08GB2024-09-24 01:27
556

docker.io/nvidia/cuda:11.7.1-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io7.69GB2024-09-24 10:31
995

docker.io/nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io9.49GB2024-09-26 00:13
920

docker.io/nvidia/cuda:12.3.2-cudnn9-devel-ubuntu22.04

linux/amd64 docker.io8.10GB2024-10-01 00:14
368

docker.io/nvidia/cuda:12.2.2-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io9.33GB2024-10-11 00:48
967

docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04

linux/amd64 docker.io2.06GB2024-10-22 16:17
538

docker.io/nvidia/cuda:11.3.1-devel-ubuntu18.04

linux/arm64 docker.io3.74GB2024-10-24 17:52
449

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

linux/amd64 docker.io9.35GB2024-10-24 19:51
583

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

linux/arm64 docker.io11.50GB2024-10-25 01:15
293

docker.io/nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04

linux/amd64 docker.io3.74GB2024-10-31 15:22
1092

docker.io/nvidia/cuda:11.8.0-devel-ubuntu22.04

linux/amd64 docker.io7.37GB2024-11-06 13:17
715

docker.io/nvidia/cuda:11.1.1-base

linux/amd64 docker.io123.64MB2024-11-16 01:17
338

docker.io/nvidia/cuda:12.1.1-cudnn8-devel-ubuntu20.04

linux/amd64 docker.io9.47GB2024-11-23 00:10
316

docker.io/nvidia/cuda:12.4.1-runtime-ubuntu22.04

linux/amd64 docker.io2.29GB2024-12-05 17:51
490

docker.io/nvidia/cuda:12.2.2-devel-ubuntu20.04

linux/amd64 docker.io6.94GB2024-12-13 00:54
345

docker.io/nvidia/cuda:12.6.3-cudnn-devel-ubuntu24.04

linux/amd64 docker.io8.22GB2024-12-18 00:45
788

docker.io/nvidia/cuda:12.6.3-base-ubuntu22.04

linux/amd64 docker.io250.32MB2024-12-25 09:01
870

docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04

linux/amd64 docker.io7.06GB2024-12-26 00:03
162

docker.io/nvidia/cuda:11.7.1-devel-ubuntu22.04

linux/amd64 docker.io5.75GB2024-12-27 19:37
254

docker.io/nvidia/cuda:11.6.2-base-ubuntu20.04

linux/amd64 docker.io153.99MB2025-01-13 16:18
295

docker.io/nvidia/cuda:11.8.0-base-ubuntu22.04

linux/amd64 docker.io239.07MB2025-01-13 16:43
468

docker.io/nvidia/cuda:11.7.1-devel-ubi8

linux/amd64 docker.io5.60GB2025-01-15 14:59
171

docker.io/nvidia/cuda:11.7.1-devel-ubuntu20.04

linux/amd64 docker.io5.73GB2025-01-15 15:18
295

docker.io/nvidia/cuda:12.3.2-devel-ubuntu20.04

linux/arm64 docker.io5.65GB2025-01-16 15:58
176

docker.io/nvidia/cuda:12.0.1-devel-ubuntu22.04

linux/amd64 docker.io7.34GB2025-01-17 01:52
264

docker.io/nvidia/cuda:11.6.1-base-ubuntu20.04

linux/amd64 docker.io153.99MB2025-01-21 11:45
302

docker.io/nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04

linux/amd64 docker.io9.74GB2025-01-23 18:24
390

docker.io/nvidia/cuda:12.4.1-devel-ubuntu20.04

linux/amd64 docker.io7.26GB2025-02-05 14:06
313

docker.io/nvidia/cuda:12.6.3-base-ubuntu20.04

linux/amd64 docker.io253.03MB2025-02-23 09:01
295

docker.io/nvidia/cuda:11.2.2-cudnn8-devel-ubuntu16.04

linux/amd64 docker.io6.79GB2025-02-26 12:38
226

docker.io/nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04

linux/amd64 docker.io8.29GB2025-03-04 23:46
519

docker.io/nvidia/cuda:12.1.0-base-ubuntu22.04

linux/amd64 docker.io237.99MB2025-03-06 13:20
692

docker.io/nvidia/cuda:12.2.2-base-ubuntu22.04

linux/amd64 docker.io238.90MB2025-03-11 17:12
726

docker.io/nvidia/cuda:12.6.3-cudnn-devel-ubuntu20.04

linux/amd64 docker.io8.13GB2025-03-15 01:30
267

docker.io/nvidia/cuda:11.8.0-runtime-ubi8

linux/amd64 docker.io2.80GB2025-03-19 23:46
275

docker.io/nvidia/cuda:11.8.0-devel-ubi8

linux/amd64 docker.io7.17GB2025-03-20 01:16
438

docker.io/nvidia/cuda:12.1.0-devel-ubuntu22.04

linux/amd64 docker.io7.03GB2025-03-21 00:40
261

docker.io/nvidia/cuda:12.4.0-devel-ubuntu22.04

linux/amd64 docker.io7.22GB2025-04-03 08:40
441

docker.io/nvidia/cuda:12.6.0-base-ubuntu24.04

linux/amd64 docker.io256.29MB2025-04-09 17:23
203

docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubuntu24.04

linux/amd64 docker.io10.45GB2025-04-11 03:24
770

docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubuntu20.04

linux/arm64 docker.io8.96GB2025-04-16 00:44
285

docker.io/nvidia/cuda:12.4.0-runtime-ubuntu22.04

linux/amd64 docker.io2.28GB2025-04-17 11:11
296

docker.io/nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu20.04

linux/amd64 docker.io3.75GB2025-04-17 17:18
305

docker.io/nvidia/cuda:11.4.3-cudnn8-devel-ubuntu20.04

linux/amd64 docker.io9.87GB2025-04-21 16:58
173

docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04

linux/amd64 docker.io10.39GB2025-04-28 00:27
612

docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04

linux/amd64 docker.io4.90GB2025-04-29 22:22
127

docker.io/nvidia/cuda:12.6.0-cudnn-devel-ubuntu20.04

linux/amd64 docker.io8.03GB2025-05-08 00:32
204

docker.io/nvidia/cuda:12.6.3-cudnn-devel-ubuntu22.04

linux/amd64 docker.io8.14GB2025-05-09 02:48
193

docker.io/nvidia/cuda:12.1.1-base-ubuntu22.04

linux/amd64 docker.io237.99MB2025-05-10 01:12
156

docker.io/nvidia/cuda:12.9.0-cudnn-devel-ubi8

linux/amd64 docker.io10.91GB2025-05-11 00:39
497

docker.io/nvidia/cuda:12.9.0-base-ubi9

linux/amd64 docker.io475.69MB2025-05-12 11:22
579

docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8

linux/amd64 docker.io10.09GB2025-05-13 00:53
101

docker.io/nvidia/cuda:12.2.0-runtime-ubuntu22.04

linux/amd64 docker.io1.97GB2025-05-14 16:12
148

docker.io/nvidia/cuda:12.2.0-base-ubuntu22.04

linux/amd64 docker.io238.90MB2025-05-18 17:30
191

docker.io/nvidia/cuda:12.2.0-devel-ubuntu22.04

linux/amd64 docker.io6.58GB2025-05-19 00:11
199

docker.io/nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04

linux/amd64 docker.io9.74GB2025-05-27 22:52
260

docker.io/nvidia/cuda:12.4.0-runtime-ubuntu22.04

linux/arm64 docker.io2.08GB2025-05-29 21:54
79

docker.io/nvidia/cuda:12.6.1-devel-ubuntu22.04

linux/arm64 docker.io6.09GB2025-05-29 22:21
134

docker.io/nvidia/cuda:12.6.0-devel-ubuntu22.04

linux/arm64 docker.io6.08GB2025-05-29 23:30
63

docker.io/nvidia/cuda:12.8.0-base-ubuntu24.04

linux/amd64 docker.io291.50MB2025-05-30 11:52
383

docker.io/nvidia/cuda:12.8.0-cudnn-runtime-ubuntu22.04

linux/amd64 docker.io4.52GB2025-06-11 14:52
258

docker.io/nvidia/cuda:12.8.1-runtime-ubuntu22.04

linux/amd64 docker.io3.40GB2025-06-18 00:44
89

docker.io/nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu22.04

linux/amd64 docker.io2.92GB2025-06-18 15:13
83

docker.io/nvidia/cuda:12.6.3-runtime-ubuntu22.04

linux/amd64 docker.io2.39GB2025-06-19 18:04
135

docker.io/nvidia/cuda:12.1.0-runtime-ubuntu20.04

linux/amd64 docker.io2.23GB2025-06-20 10:25
137

docker.io/nvidia/cuda:12.8.0-devel-ubuntu22.04

linux/arm64 docker.io8.01GB2025-06-25 03:38
87

docker.io/nvidia/cuda:11.8.0-cudnn8-runtime-ubi8

linux/amd64 docker.io3.91GB2025-06-30 14:16
36

docker.io/nvidia/cuda:11.8.0-runtime-ubuntu22.04

linux/amd64 docker.io2.65GB2025-06-30 14:21
42

docker.io/nvidia/cuda:11.6.1-runtime-ubuntu20.04

linux/amd64 docker.io2.04GB2025-07-01 16:23
36

docker.io/nvidia/cuda:11.0.3-base-centos7

linux/amd64 docker.io396.25MB2025-07-01 16:25
33

docker.io/nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04

linux/amd64 docker.io3.29GB2025-07-01 19:18
57

docker.io/nvidia/cuda:11.6.1-devel-ubuntu20.04

linux/amd64 docker.io5.72GB2025-07-03 19:02
27

docker.io/nvidia/cuda:11.2.2-base-centos7

linux/amd64 docker.io399.06MB2025-07-04 17:02
31

docker.io/nvidia/cuda:12.9.1-base-ubuntu22.04

linux/amd64 docker.io404.13MB2025-07-08 16:07
26

docker.io/nvidia/cuda:12.9.1-base-ubuntu24.04

linux/amd64 docker.io404.01MB2025-07-08 16:29
34

docker.io/nvidia/cuda:12.6.0-cudnn-runtime-ubuntu22.04

linux/amd64 docker.io3.18GB2025-07-10 10:50
8