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docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8
linux/amd64 docker.io Mr.张先生^_^ 贡献

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。

867
浏览次数
10.09GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8
源镜像
docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8
镜像ID
sha256:76e5a83bc9af955ee2b77a60163c077e469d272b1b4cf60232d69449db490c15
镜像 TAG
12.8.1-cudnn-devel-ubi8
镜像大小
10.09GB
平台架构
linux/amd64
镜像源
docker.io
CMD
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
OS/平台
linux/amd64
镜像创建
2025-03-13T14:48:25.971801091Z
同步时间
2025-05-13 00:53
浏览量
867 次
贡献者
avatar Mr.张先生^_^
⚙️ 环境变量 37
KeyValue
PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
container=oci 1
PKG_CMD=yum 2
NVARCH=x86_64 3
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 4
NV_CUDA_CUDART_VERSION=12.8.90-1 5
CUDA_VERSION=12.8.1 6
LD_LIBRARY_PATH=/usr/local/cuda/lib64 7
NVIDIA_VISIBLE_DEVICES=all 8
NVIDIA_DRIVER_CAPABILITIES=compute,utility 9
NV_CUDA_LIB_VERSION=12.8.1-1 10
NV_NVTX_VERSION=12.8.90-1 11
NV_LIBNPP_VERSION=12.3.3.100-1 12
NV_LIBNPP_PACKAGE=libnpp-12-8-12.3.3.100-1 13
NV_LIBCUBLAS_VERSION=12.8.4.1-1 14
NV_LIBNCCL_PACKAGE_NAME=libnccl 15
NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1 16
NV_LIBNCCL_VERSION=2.25.1 17
NCCL_VERSION=2.25.1 18
NV_LIBNCCL_PACKAGE=libnccl-2.25.1-1+cuda12.8 19
NVIDIA_PRODUCT_NAME=CUDA 20
NV_NVPROF_VERSION=12.8.90-1 21
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8-12.8.90-1 22
NV_CUDA_CUDART_DEV_VERSION=12.8.90-1 23
NV_NVML_DEV_VERSION=12.8.90-1 24
NV_LIBCUBLAS_DEV_VERSION=12.8.4.1-1 25
NV_LIBNPP_DEV_VERSION=12.3.3.100-1 26
NV_LIBNPP_DEV_PACKAGE=libnpp-devel-12-8-12.3.3.100-1 27
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-devel 28
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1 29
NV_LIBNCCL_DEV_PACKAGE=libnccl-devel-2.25.1-1+cuda12.8 30
NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.1-1 31
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8-12.8.1-1 32
LIBRARY_PATH=/usr/local/cuda/lib64/stubs 33
NV_CUDNN_VERSION=9.8.0.87-1 34
NV_CUDNN_PACKAGE=libcudnn9-cuda-12-9.8.0.87-1 35
NV_CUDNN_PACKAGE_DEV=libcudnn9-devel-cuda-12-9.8.0.87-1 36
🏷️ 镜像标签 21
KeyValue
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.",
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            "vcs-ref": "967861a8dbbb288b8cec9f1fee7ccbf6c7ee9a20",
            "vcs-type": "git",
            "vendor": "Red Hat, Inc.",
            "version": "8.10"
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 10093401000,
    "GraphDriver": {
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    "RootFS": {
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    "Metadata": {
        "LastTagTime": "2025-05-13T00:41:39.246379462+08:00"
    }
}

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4046

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

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

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

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

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

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

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

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

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

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

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

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

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docker.io/nvidia/cuda:11.1.1-base

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

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

linux/amd64 docker.io2.29GB2024-12-05 17:51
1882

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

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1083

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

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

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

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

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934

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

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

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

linux/amd64 docker.io5.60GB2025-01-15 14:59
752

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

linux/amd64 docker.io5.73GB2025-01-15 15:18
1247

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

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725

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

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1427

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

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

linux/amd64 docker.io9.74GB2025-01-23 18:24
1865

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

linux/amd64 docker.io7.26GB2025-02-05 14:06
1238

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

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1163

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

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902

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

linux/amd64 docker.io8.29GB2025-03-04 23:46
2079

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

linux/amd64 docker.io237.99MB2025-03-06 13:20
2022

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

linux/amd64 docker.io238.90MB2025-03-11 17:12
3202

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

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1162

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

linux/amd64 docker.io2.80GB2025-03-19 23:46
1395

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

linux/amd64 docker.io7.17GB2025-03-20 01:16
1349

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

linux/amd64 docker.io7.03GB2025-03-21 00:40
1303

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

linux/amd64 docker.io7.22GB2025-04-03 08:40
2416

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

linux/amd64 docker.io256.29MB2025-04-09 17:23
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docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubuntu24.04

linux/amd64 docker.io10.45GB2025-04-11 03:24
3171

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

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1494

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

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1916

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

linux/amd64 docker.io3.75GB2025-04-17 17:18
1761

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

linux/amd64 docker.io9.87GB2025-04-21 16:58
1776

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

linux/amd64 docker.io10.39GB2025-04-28 00:27
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docker.io/nvidia/cuda:11.2.2-devel-ubuntu20.04

linux/amd64 docker.io4.90GB2025-04-29 22:22
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docker.io/nvidia/cuda:12.6.0-cudnn-devel-ubuntu20.04

linux/amd64 docker.io8.03GB2025-05-08 00:32
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docker.io/nvidia/cuda:12.6.3-cudnn-devel-ubuntu22.04

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

linux/amd64 docker.io237.99MB2025-05-10 01:12
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docker.io/nvidia/cuda:12.9.0-cudnn-devel-ubi8

linux/amd64 docker.io10.91GB2025-05-11 00:39
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docker.io/nvidia/cuda:12.9.0-base-ubi9

linux/amd64 docker.io475.69MB2025-05-12 11:22
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docker.io/nvidia/cuda:12.8.1-cudnn-devel-ubi8

linux/amd64 docker.io10.09GB2025-05-13 00:53
866

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

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1553

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

linux/amd64 docker.io238.90MB2025-05-18 17:30
2094

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

linux/amd64 docker.io6.58GB2025-05-19 00:11
1722

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

linux/amd64 docker.io9.74GB2025-05-27 22:52
1846

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

linux/arm64 docker.io2.08GB2025-05-29 21:54
1030

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

linux/arm64 docker.io6.09GB2025-05-29 22:21
996

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

linux/arm64 docker.io6.08GB2025-05-29 23:30
933

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

linux/amd64 docker.io291.50MB2025-05-30 11:52
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docker.io/nvidia/cuda:12.8.0-cudnn-runtime-ubuntu22.04

linux/amd64 docker.io4.52GB2025-06-11 14:52
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docker.io/nvidia/cuda:12.8.1-runtime-ubuntu22.04

linux/amd64 docker.io3.40GB2025-06-18 00:44
1248

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

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1027

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

linux/amd64 docker.io2.39GB2025-06-19 18:04
1183

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

linux/amd64 docker.io2.23GB2025-06-20 10:25
1011

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

linux/arm64 docker.io8.01GB2025-06-25 03:38
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docker.io/nvidia/cuda:11.8.0-cudnn8-runtime-ubi8

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788

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

linux/amd64 docker.io2.65GB2025-06-30 14:21
1192

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

linux/amd64 docker.io2.04GB2025-07-01 16:23
729

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

linux/amd64 docker.io396.25MB2025-07-01 16:25
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docker.io/nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04

linux/amd64 docker.io3.29GB2025-07-01 19:18
1677

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

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731

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

linux/amd64 docker.io399.06MB2025-07-04 17:02
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docker.io/nvidia/cuda:12.9.1-base-ubuntu22.04

linux/amd64 docker.io404.13MB2025-07-08 16:07
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docker.io/nvidia/cuda:12.9.1-base-ubuntu24.04

linux/amd64 docker.io404.01MB2025-07-08 16:29
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docker.io/nvidia/cuda:12.6.0-cudnn-runtime-ubuntu22.04

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1750

docker.io/nvidia/cuda:11.6.2-cudnn8-devel-ubuntu18.04

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708

docker.io/nvidia/cuda:12.9.1-cudnn-devel-ubuntu22.04

linux/amd64 docker.io11.23GB2025-07-13 00:55
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docker.io/nvidia/cuda:12.9.1-devel-ubuntu22.04

linux/amd64 docker.io10.18GB2025-07-13 00:55
1422
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