docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04 linux/amd64

docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04 - 国内下载镜像源 浏览次数:542

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

源镜像 docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04
镜像ID sha256:c2595a43842665a12536a6788603861b1771f0b649ffe9e5f8b9c8e50b5bc985
镜像TAG 11.0.3-runtime-ubuntu20.04
大小 2.06GB
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 542 次
贡献者 ls*****t@outlook.com
镜像创建 2023-11-10T08:39:51.628340665Z
同步时间 2024-10-22 16:17
更新时间 2025-07-12 04:58
环境变量
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=11.0 brand=tesla,driver>=418,driver<419 NV_CUDA_CUDART_VERSION=11.0.221-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-0 CUDA_VERSION=11.0.3 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=11.0.3-1 NV_NVTX_VERSION=11.0.167-1 NV_LIBNPP_VERSION=11.1.0.245-1 NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-1 NV_LIBCUSPARSE_VERSION=11.1.1.245-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-0 NV_LIBCUBLAS_VERSION=11.2.0.252-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1 NCCL_VERSION=2.15.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.0 NVIDIA_PRODUCT_NAME=CUDA
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 20.04 扫描引擎: Trivy 扫描时间: 2024-10-27 11:23

低危漏洞:55 中危漏洞:30 高危漏洞:0 严重漏洞:0

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04  docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04  docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04

Shell快速替换命令

sed -i 's#nvidia/cuda:11.0.3-runtime-ubuntu20.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04  docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04  docker.io/nvidia/cuda:11.0.3-runtime-ubuntu20.04'

镜像构建历史


# 2023-11-10 16:39:51  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 16:39:51  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 16:39:51  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 16:39:51  251.39KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:39:51  1.93GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-11-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-0=${NV_NVTX_VERSION}     libcusparse-11-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:39:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:39:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.0
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.2.0.252-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-0
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.1.1.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.1.0.245-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.0.167-1
                        
# 2023-11-10 16:39:51  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.0.3-1
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 16:38:05  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 16:38:05  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-10 16:38:05  46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf     && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2023-11-10 16:38:05  30.66MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-0=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.0 /usr/local/cuda     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.0.3
                        
# 2023-11-10 16:37:55  18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:37:55  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:37:55  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-0
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.0.221-1
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.0 brand=tesla,driver>=418,driver<419
                        
# 2023-11-10 16:37:55  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-0",
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            "NV_NVTX_VERSION=11.0.167-1",
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            "NV_LIBNPP_PACKAGE=libnpp-11-0=11.1.0.245-1",
            "NV_LIBCUSPARSE_VERSION=11.1.1.245-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-0",
            "NV_LIBCUBLAS_VERSION=11.2.0.252-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-0=11.2.0.252-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
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            "NCCL_VERSION=2.15.5-1",
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docker.io/nvidia/cuda:12.3.2-cudnn9-devel-ubuntu22.04

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

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

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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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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

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

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

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

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

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304

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

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395

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

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318

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

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

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226

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

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525

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

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696

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

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733

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

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271

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

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

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442

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

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264

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

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443

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

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

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775

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

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290

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

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298

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

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313

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

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179

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

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623

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

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128

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

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208

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

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196

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

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158

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

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

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

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103

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

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154

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

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196

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

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205

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

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273

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

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

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138

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

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64

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

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388

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

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265

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

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95

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

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89

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

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141

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

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140

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

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

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38

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

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45

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

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37

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

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33

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

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65

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

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30

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

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33

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

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37

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

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55

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

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26

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

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13