广告图片

docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel linux/amd64

docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel - 国内下载镜像源 浏览次数:21 安全受验证的发布者-Pytorch

PyTorch是一个深度学习框架,旨在简化机器学习算法的实现和部署。该镜像提供了一个基于Python 3.x的环境,可以用于快速启动和测试PyTorch项目。

源镜像 docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel
镜像ID sha256:13d3e688857d1a330c4331b7ae5330b6d1393fd77eb2079d2218df8af364e091
镜像TAG 2.11.0-cuda12.6-cudnn9-devel
大小 21.29GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /workspace
OS/平台 linux/amd64
浏览量 21 次
贡献者
镜像创建 2026-03-23T18:57:21.687014046Z
同步时间 2026-04-30 03:39
环境变量
PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 PYTORCH_VERSION=2.11.0 CUDA_HOME=/usr/local/cuda
镜像标签
nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 24.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel  docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel  docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel#' 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/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel  docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel  docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel'

镜像构建历史


# 2026-03-24 02:57:21  6.12GB 复制新文件或目录到容器中
COPY /opt/pytorch /opt/pytorch # buildkit
                        
# 2026-03-24 02:55:50  0.00B 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-03-24 02:55:50  0.00B 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12 /usr/local/lib/python3.12 # buildkit
                        
# 2026-03-24 02:55:47  0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
                        
# 2026-03-24 02:55:47  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-03-24 02:55:47  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-03-24 02:55:47  8.11GB 执行命令并创建新的镜像层
RUN |5 PYTORCH_VERSION=2.11.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.6.3 BUILD_TYPE=dev /bin/sh -c if [ "${BUILD_TYPE}" = "dev" ] && [ -n "${CUDA_VERSION}" ]; then     apt-get update && apt-get install -y --no-install-recommends         wget gnupg2 ca-certificates &&     NVARCH=$(uname -m | sed 's/x86_64/x86_64/' | sed 's/aarch64/sbsa/') &&     wget -qO - https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     CUDA_PKG_VERSION=$(echo ${CUDA_VERSION} | cut -d'.' -f1,2 | tr '.' '-') &&     apt-get update && apt-get install -y --no-install-recommends         cuda-toolkit-${CUDA_PKG_VERSION} &&     apt-get clean && rm -rf /var/lib/apt/lists/* &&     echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/cuda.conf &&     ldconfig; fi # buildkit
                        
# 2026-03-24 02:52:57  0.00B 定义构建参数
ARG BUILD_TYPE=dev
                        
# 2026-03-24 02:52:57  0.00B 定义构建参数
ARG CUDA_VERSION=12.6.3
                        
# 2026-03-24 02:52:57  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-03-24 02:52:57  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.11.0
                        
# 2026-03-24 02:52:57  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
                        
# 2026-03-24 02:52:57  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-03-24 02:52:57  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-03-24 02:52:57  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-03-24 02:52:57  166.50MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.11.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.6.3 /bin/sh -c if test -n "${CUDA_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         apt-get update -qq &&         DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends gcc &&         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2026-03-24 02:52:45  62.77MB 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-03-24 02:52:45  6.63GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12 /usr/local/lib/python3.12 # buildkit
                        
# 2026-03-24 02:48:26  124.31MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.11.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=12.6.3 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev         python-is-python3         python3         python3-dev         python3-pip         && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-03-24 02:48:26  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2026-03-24 02:48:26  0.00B 定义构建参数
ARG CUDA_VERSION=12.6.3
                        
# 2026-03-24 02:48:26  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2026-03-24 02:48:26  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2026-03-24 02:48:26  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.11.0
                        
# 2026-02-24 01:17:56  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-02-24 01:17:55  78.14MB 
/bin/sh -c #(nop) ADD file:3f78aa860931e0853077f09eb31eddbeeef8a9dd70977305b4876aa176770721 in / 
                        
# 2026-02-24 01:17:53  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2026-02-24 01:17:53  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2026-02-24 01:17:53  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-02-24 01:17:53  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:13d3e688857d1a330c4331b7ae5330b6d1393fd77eb2079d2218df8af364e091",
    "RepoTags": [
        "pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel"
    ],
    "RepoDigests": [
        "pytorch/pytorch@sha256:46e4c2def3ea95fd217922c68838ee0e6610892676c5d78a19b217c8e6adc7f9",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch@sha256:46e4c2def3ea95fd217922c68838ee0e6610892676c5d78a19b217c8e6adc7f9"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-03-23T18:57:21.687014046Z",
    "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/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "PYTORCH_VERSION=2.11.0",
            "CUDA_HOME=/usr/local/cuda"
        ],
        "Cmd": [
            "/bin/bash"
        ],
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 21287944004,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/1d357768edd3ae9e58aff25a54730a6db7f16ab4115adcb364e30e26d76212f9/diff:/var/lib/docker/overlay2/3e8f4563f94658d6eeb20cbc6c773bc6426064ba2e92dbbbd7f31532c77540a0/diff:/var/lib/docker/overlay2/26429c7677d0b98408551ac175ce841d432d5e2eee7f00d0e9bd4dd61dc7857d/diff:/var/lib/docker/overlay2/686fd65d9d9baaa4528b6476b390cac82ee2c235f4eb036a34bdc13822e0f350/diff:/var/lib/docker/overlay2/ebe6194a2bc07893a7f25e2d5a2ce294b24b9eb9923d580cd1260e714dc6e5bb/diff:/var/lib/docker/overlay2/c4978893d30b3926b2584b9a4daec6cab4f57b8142bc74b60b450b8bc7a0f141/diff:/var/lib/docker/overlay2/3dee5fe6019a970ac5ea2b4b4e44d39fe34eb58daab09c0f79655b4175be5820/diff:/var/lib/docker/overlay2/ecd3525c2201e7577734d2cfb07af752b24855e7b7008c98dcfec172e855913c/diff:/var/lib/docker/overlay2/ce05d2cd16ba3919041e133a958df1acf0ca5cb6ac9c21239b427d9822d67eb6/diff",
            "MergedDir": "/var/lib/docker/overlay2/af4bb77046e74241799e962c71e2aa665ae490f9dee2536d44f22422108f9dc9/merged",
            "UpperDir": "/var/lib/docker/overlay2/af4bb77046e74241799e962c71e2aa665ae490f9dee2536d44f22422108f9dc9/diff",
            "WorkDir": "/var/lib/docker/overlay2/af4bb77046e74241799e962c71e2aa665ae490f9dee2536d44f22422108f9dc9/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:f2a7f072635332d307212e318e07284948b89f4167fce5c4d7c9cfb7590b74b6",
            "sha256:26e09530180b09658ca35849aabe550ba55251a37ee488966b8d4ad737757282",
            "sha256:cce1be0b0401d722e5a2f38a216e57d057a635503ab2bb31b20f6fa58248444e",
            "sha256:515e467c4149aa6fcdc6fa1de6047242ba0067fde3336c61b54acba279c2dd97",
            "sha256:3da7b34e97f9587e78163163a0f7b19480996705f2d55bd1d46b7c4bc952098c",
            "sha256:31a2488d72d30f6f1d2db481db15a30a879feb0e9d54a7e2c1924851ce2813cf",
            "sha256:7aded6320c34785cead218b9cdaa5dd7fdd5c613fc6bf17d469797f3a8ad9822",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:3c5ead195bae0a0a6b7a61e0580e7bbecf5c1deedd153d17d12b077b118f5018"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-04-30T03:04:38.323712501+08:00"
    }
}

更多版本

docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime

linux/amd64 docker.io7.71GB2024-07-18 11:25
8443

docker.io/pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime

linux/amd64 docker.io6.48GB2024-07-26 13:31
4170

docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-devel

linux/amd64 docker.io17.08GB2024-08-06 11:11
2308

docker.io/pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime

linux/amd64 docker.io5.99GB2024-09-21 01:42
3796

docker.io/pytorch/pytorch:2.2.1-cuda12.1-cudnn8-runtime

linux/amd64 docker.io7.60GB2024-09-25 04:29
2277

docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime

linux/amd64 docker.io6.36GB2024-09-28 00:59
1754

docker.io/pytorch/pytorch:2.1.0-cuda11.8-cudnn8-devel

linux/amd64 docker.io17.39GB2024-10-02 00:43
2252

docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-devel

linux/amd64 docker.io13.63GB2024-10-23 00:32
1605

docker.io/pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel

linux/amd64 docker.io13.17GB2024-11-01 00:22
1592

docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel

linux/amd64 docker.io13.31GB2024-11-06 01:09
2287

docker.io/pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime

linux/amd64 docker.io6.14GB2024-11-06 01:24
3556

docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-runtime

linux/amd64 docker.io6.13GB2024-11-06 01:38
1120

docker.io/pytorch/pytorch:2.5.0-cuda12.4-cudnn9-devel

linux/amd64 docker.io13.30GB2024-11-06 01:51
1360

docker.io/pytorch/pytorch:2.5.1-cuda12.1-cudnn9-runtime

linux/amd64 docker.io5.90GB2024-11-07 00:14
2402

docker.io/pytorch/pytorch:2.3.1-cuda11.8-cudnn8-runtime

linux/amd64 docker.io8.17GB2024-11-08 00:19
2221

docker.io/pytorch/pytorch:2.3.1-cuda12.1-cudnn8-devel

linux/amd64 docker.io17.08GB2024-11-08 00:39
1358

docker.io/pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel

linux/amd64 docker.io17.52GB2024-11-08 01:12
1881

docker.io/pytorch/pytorch:2.1.2-cuda11.8-cudnn8-devel

linux/amd64 docker.io17.33GB2024-12-10 00:33
864

docker.io/pytorch/pytorch:2.2.0-cuda12.1-cudnn8-devel

linux/amd64 docker.io16.99GB2024-12-15 00:21
1282

docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-devel

linux/amd64 docker.io16.58GB2024-12-20 00:05
1429

docker.io/pytorch/pytorch:2.1.2-cuda12.1-cudnn8-runtime

linux/amd64 docker.io7.22GB2025-01-10 00:32
1272

docker.io/pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel

linux/amd64 docker.io13.10GB2025-01-11 00:22
1397

docker.io/pytorch/pytorch:2.2.2-cuda11.8-cudnn8-devel

linux/amd64 docker.io17.74GB2025-01-18 01:16
1283

docker.io/pytorch/pytorch:2.2.1-cuda11.8-cudnn8-devel

linux/amd64 docker.io17.70GB2025-02-18 00:39
612

docker.io/pytorch/pytorch:2.6.0-cuda12.6-cudnn9-devel

linux/amd64 docker.io13.16GB2025-02-18 01:17
2265

docker.io/pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime

linux/amd64 docker.io6.06GB2025-02-27 00:51
2777

docker.io/pytorch/pytorch:2.5.1-cuda12.1-cudnn9-devel

linux/amd64 docker.io12.84GB2025-02-28 02:38
2037

docker.io/pytorch/pytorch:2.6.0-cuda12.4-cudnn9-devel

linux/amd64 docker.io13.23GB2025-03-08 01:36
2259

docker.io/pytorch/pytorch:1.11.0-cuda11.3-cudnn8-devel

linux/amd64 docker.io13.71GB2025-03-18 02:23
1077

docker.io/pytorch/pytorch:2.1.0-cuda12.1-cudnn8-devel

linux/amd64 docker.io16.56GB2025-04-15 01:43
663

docker.io/pytorch/pytorch:2.7.0-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.70GB2025-04-25 04:37
2566

docker.io/pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel

linux/amd64 docker.io7.04GB2025-04-28 16:22
741

docker.io/pytorch/pytorch:2.5.1-cuda11.8-cudnn9-runtime

linux/amd64 docker.io6.32GB2025-05-07 02:16
1048

docker.io/pytorch/pytorch:latest

linux/amd64 docker.io7.60GB2025-05-14 01:17
1716

docker.io/pytorch/pytorch:2.7.0-cuda12.8-cudnn9-devel

linux/amd64 docker.io16.99GB2025-05-22 02:12
1245

docker.io/pytorch/pytorch:2.7.1-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.60GB2025-07-02 00:58
1851

docker.io/pytorch/pytorch:2.7.1-cuda12.8-cudnn9-devel

linux/amd64 docker.io16.89GB2025-07-18 04:22
1292

docker.io/pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime

linux/amd64 docker.io7.70GB2025-07-24 01:22
862

docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime

linux/amd64 docker.io5.93GB2025-07-24 02:12
946

docker.io/pytorch/pytorch:2.7.1-cuda11.8-cudnn9-runtime

linux/amd64 docker.io6.48GB2025-08-05 01:42
816

docker.io/pytorch/pytorch:2.8.0-cuda12.9-cudnn9-devel

linux/amd64 docker.io18.46GB2025-08-28 02:21
1560

docker.io/pytorch/pytorch:2.8.0-cuda12.8-cudnn9-devel

linux/amd64 docker.io16.93GB2025-09-11 01:44
1080

docker.io/pytorch/pytorch:2.7.1-cuda11.8-cudnn9-devel

linux/amd64 docker.io13.76GB2025-10-12 02:59
467

docker.io/pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.69GB2025-10-25 00:53
1091

docker.io/pytorch/pytorch:2.4.1-cuda12.1-cudnn9-devel

linux/amd64 docker.io12.86GB2025-11-01 00:22
523

docker.io/pytorch/pytorch:2.9.0-cuda13.0-cudnn9-runtime

linux/amd64 docker.io5.68GB2025-11-06 02:58
1006

docker.io/pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel

linux/amd64 docker.io18.57GB2025-11-10 00:45
342

docker.io/pytorch/pytorch:2.4.0-cuda12.1-cudnn9-runtime

linux/amd64 docker.io8.06GB2025-11-22 01:41
555

docker.io/pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime

linux/amd64 docker.io7.20GB2025-12-04 00:11
525

docker.io/pytorch/pytorch:2.8.0-cuda12.9-cudnn9-runtime

linux/amd64 docker.io8.38GB2025-12-10 01:22
504

docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime

linux/amd64 docker.io7.97GB2025-12-12 00:37
1046

docker.io/pytorch/pytorch:2.9.1-cuda12.8-cudnn9-devel

linux/amd64 docker.io17.21GB2025-12-12 01:02
1005

docker.io/pytorch/pytorch:2.7.0-cuda12.6-cudnn9-runtime

linux/amd64 docker.io6.35GB2025-12-13 01:45
622

docker.io/pytorch/pytorch:1.7.1-cuda11.0-cudnn8-devel

linux/amd64 docker.io12.86GB2025-12-16 01:48
433

docker.io/pytorch/pytorch:1.7.0-cuda11.0-cudnn8-devel

linux/amd64 docker.io11.97GB2025-12-16 02:38
270

docker.io/pytorch/pytorch:2.9.1-cuda12.6-cudnn9-runtime

linux/amd64 docker.io7.12GB2026-01-11 00:39
415

docker.io/pytorch/pytorch:1.8.1-cuda11.1-cudnn8-devel

linux/amd64 docker.io16.47GB2026-01-21 01:16
291

docker.io/pytorch/pytorch:2.6.0-cuda11.8-cudnn9-devel

linux/amd64 docker.io13.52GB2026-02-28 02:06
138

docker.io/pytorch/pytorch:2.10.0-cuda12.8-cudnn9-devel

linux/amd64 docker.io17.09GB2026-03-11 02:39
261

docker.io/pytorch/pytorch:2.9.1-cuda13.0-cudnn9-devel

linux/amd64 docker.io12.94GB2026-03-20 02:29
236

docker.io/pytorch/pytorch:2.7.1-cuda12.6-cudnn9-devel

linux/amd64 docker.io13.44GB2026-04-21 02:09
55

docker.io/pytorch/pytorch:2.4.0-cuda12.4-cudnn9-devel

linux/amd64 docker.io14.96GB2026-04-21 02:15
58

docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-devel

linux/amd64 docker.io21.29GB2026-04-30 03:39
20

docker.io/pytorch/pytorch:2.11.0-cuda12.6-cudnn9-runtime

linux/amd64 docker.io7.06GB2026-04-30 03:55
15