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docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel
linux/amd64 docker.io 已验证 · Pytorch 大师兄 贡献

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。

121
浏览次数
12.85GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel
源镜像
docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel
镜像ID
sha256:37a6218035773fa47e49dc05b26f036b154018ae54d26fcb3998d5621b0c06c2
镜像 TAG
2.10.0-cuda13.0-cudnn9-devel
镜像大小
12.85GB
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
/workspace
OS/平台
linux/amd64
镜像创建
2026-01-21T19:16:40.698168841Z
同步时间
2026-07-04 02:22
浏览量
121 次
贡献者
avatar 大师兄
⚙️ 环境变量 36
KeyValue
PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
NVARCH=x86_64 1
NVIDIA_REQUIRE_CUDA=cuda>=13.0 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>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576 2
NV_CUDA_CUDART_VERSION=13.0.48-1 3
CUDA_VERSION=13.0.0 4
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
NV_CUDA_LIB_VERSION=13.0.0-1 8
NV_NVTX_VERSION=13.0.39-1 9
NV_LIBNPP_VERSION=13.0.0.50-1 10
NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.0.50-1 11
NV_LIBCUSPARSE_VERSION=12.6.2.49-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0 13
NV_LIBCUBLAS_VERSION=13.0.0.19-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.0.19-1 15
NV_LIBNCCL_PACKAGE_NAME=libnccl2 16
NV_LIBNCCL_PACKAGE_VERSION=2.27.7-1 17
NCCL_VERSION=2.27.7-1 18
NV_LIBNCCL_PACKAGE=libnccl2=2.27.7-1+cuda13.0 19
NVIDIA_PRODUCT_NAME=CUDA 20
NV_CUDA_CUDART_DEV_VERSION=13.0.48-1 21
NV_NVML_DEV_VERSION=13.0.39-1 22
NV_LIBCUSPARSE_DEV_VERSION=12.6.2.49-1 23
NV_LIBNPP_DEV_VERSION=13.0.0.50-1 24
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.0.50-1 25
NV_LIBCUBLAS_DEV_VERSION=13.0.0.19-1 26
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0 27
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.0.0.19-1 28
NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.0-1 29
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.0-1 30
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev 31
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.27.7-1 32
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.27.7-1+cuda13.0 33
LIBRARY_PATH=/usr/local/cuda/lib64/stubs 34
PYTORCH_VERSION=2.10.0 35
🏷️ 镜像标签 4
KeyValue
nvidia_driver com.nvidia.volumes.needed
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
24.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 24.04 Trivy 2026-07-04 02:26 查看完整报告
259
低危 LOW
3794
中危 MEDIUM
151
高危 HIGH
15
严重 CRITICAL
受影响目标 (3)
docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel (ubuntu 24.04) ubuntu Python python-pkg opt/nvidia/nsight-compute/2025.3.0/host/target-linux-x64/plugins/efa_metrics/nic_sampler gobinary

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel  docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel  docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel

Shell快速替换命令

sed -i 's#pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.10.0-cuda13.0-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:2.10.0-cuda13.0-cudnn9-devel && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel  docker.io/pytorch/pytorch:2.10.0-cuda13.0-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:2.10.0-cuda13.0-cudnn9-devel && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel  docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel'

镜像构建历史


# 2026-01-22 03:16:40  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-01-22 03:16:40  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.10.0
                        
# 2026-01-22 03:16:40  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-01-22 03:16:40  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2026-01-22 03:16:40  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-01-22 03:16:40  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-01-22 03:16:40  8.69KB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.10.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=13.0.0 /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
                        
# 2026-01-22 03:16:35  63.06MB 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-01-22 03:16:35  5.24GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12 /usr/local/lib/python3.12 # buildkit
                        
# 2026-01-22 03:14:12  99.75MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=2.10.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=13.0.0 /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
                        
# 2026-01-22 03:14:12  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2026-01-22 03:14:12  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.0
                        
# 2026-01-22 03:14:12  0.00B 定义构建参数
ARG TARGETPLATFORM=linux/amd64
                        
# 2026-01-22 03:14:12  0.00B 定义构建参数
ARG TRITON_VERSION=
                        
# 2026-01-22 03:14:12  0.00B 定义构建参数
ARG PYTORCH_VERSION=2.10.0
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2025-08-09 07:29:54  392.28KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2025-08-09 07:29:54  4.92GB 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-dev-13-0=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-13-0=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-13-0=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-13-0=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-13-0=${NV_NVML_DEV_VERSION}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-13-0=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-09 07:29:54  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-08-09 07:29:54  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.27.7-1+cuda13.0
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.27.7-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.27.7-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-0=13.0.0-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.0.0-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-0=13.0.0.19-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-0
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.0.0.19-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-0=13.0.0.50-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.0.0.50-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.6.2.49-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.0.39-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.0.48-1
                        
# 2025-08-09 07:29:54  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.0-1
                        
# 2025-08-09 06:50:16  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-08-09 06:50:16  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-08-09 06:50:16  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-08-09 06:50:16  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-08-09 06:50:16  240.07KB 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
                        
# 2025-08-09 06:50:15  2.12GB 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-13-0=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-0=${NV_NVTX_VERSION}     libcusparse-13-0=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-09 06:50:15  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-08-09 06:50:15  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.27.7-1+cuda13.0
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.27.7-1
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.27.7-1
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-0=13.0.0.19-1
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.0.0.19-1
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-0
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.6.2.49-1
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-0=13.0.0.50-1
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.0.50-1
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.0.39-1
                        
# 2025-08-09 06:50:15  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.0.0-1
                        
# 2025-08-05 01:54:59  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-08-05 01:54:59  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-08-05 01:54:59  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-08-05 01:54:59  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64
                        
# 2025-08-05 01:54:59  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
                        
# 2025-08-05 01:54:59  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
                        
# 2025-08-05 01:54:58  322.56MB 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-13-0=${NV_CUDA_CUDART_VERSION}     cuda-compat-13-0     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-05 01:54:40  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.0.0
                        
# 2025-08-05 01:54:40  10.26MB 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/ubuntu2404/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-08-05 01:54:40  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-08-05 01:54:40  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-08-05 01:54:40  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.0.48-1
                        
# 2025-08-05 01:54:40  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>=13.0 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>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571 brand=unknown,driver>=575,driver<576 brand=grid,driver>=575,driver<576 brand=tesla,driver>=575,driver<576 brand=nvidia,driver>=575,driver<576 brand=quadro,driver>=575,driver<576 brand=quadrortx,driver>=575,driver<576 brand=nvidiartx,driver>=575,driver<576 brand=vapps,driver>=575,driver<576 brand=vpc,driver>=575,driver<576 brand=vcs,driver>=575,driver<576 brand=vws,driver>=575,driver<576 brand=cloudgaming,driver>=575,driver<576
                        
# 2025-08-05 01:54:40  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-07-15 00:40:23  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-07-15 00:40:22  78.12MB 
/bin/sh -c #(nop) ADD file:b4619a63cd7829e1338ddaa4995ca17003002dd54b0dfd675a6f54a2b69151a6 in / 
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-07-15 00:40:20  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
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    "ContainerConfig": null,
    "DockerVersion": "",
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        "AttachStdout": false,
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        "Env": [
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            "NVARCH=x86_64",
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            "CUDA_VERSION=13.0.0",
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}

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linux/amd64 docker.io5.93GB2025-07-24 02:12
1268

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

linux/amd64 docker.io6.48GB2025-08-05 01:42
1017

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

linux/amd64 docker.io18.46GB2025-08-28 02:21
2293

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

linux/amd64 docker.io16.93GB2025-09-11 01:44
1431

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

linux/amd64 docker.io13.76GB2025-10-12 02:59
742

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

linux/amd64 docker.io7.69GB2025-10-25 00:53
1757

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

linux/amd64 docker.io12.86GB2025-11-01 00:22
825

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

linux/amd64 docker.io5.68GB2025-11-06 02:58
1572

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

linux/amd64 docker.io18.57GB2025-11-10 00:45
466

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

linux/amd64 docker.io8.06GB2025-11-22 01:41
808

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

linux/amd64 docker.io7.20GB2025-12-04 00:11
713

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

linux/amd64 docker.io8.38GB2025-12-10 01:22
738

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

linux/amd64 docker.io7.97GB2025-12-12 00:37
1477

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

linux/amd64 docker.io17.21GB2025-12-12 01:02
1701

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

linux/amd64 docker.io6.35GB2025-12-13 01:45
859

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

linux/amd64 docker.io12.86GB2025-12-16 01:48
727

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

linux/amd64 docker.io11.97GB2025-12-16 02:38
457

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

linux/amd64 docker.io7.12GB2026-01-11 00:39
674

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

linux/amd64 docker.io16.47GB2026-01-21 01:16
528

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

linux/amd64 docker.io13.52GB2026-02-28 02:06
341

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

linux/amd64 docker.io17.09GB2026-03-11 02:39
561

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

linux/amd64 docker.io12.94GB2026-03-20 02:29
627

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

linux/amd64 docker.io13.44GB2026-04-21 02:09
342

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

linux/amd64 docker.io14.96GB2026-04-21 02:15
335

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

linux/amd64 docker.io21.29GB2026-04-30 03:39
440

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

linux/amd64 docker.io7.06GB2026-04-30 03:55
358

docker.io/pytorch/pytorch:1.12.1-cuda11.3-cudnn8-devel

linux/amd64 docker.io14.06GB2026-06-06 02:30
157

docker.io/pytorch/pytorch:2.11.0-cuda13.0-cudnn9-runtime

linux/amd64 docker.io5.59GB2026-06-11 04:30
226

docker.io/pytorch/pytorch:2.10.0-cuda13.0-cudnn9-devel

linux/amd64 docker.io12.85GB2026-07-04 02:22
120

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

linux/amd64 docker.io7.96GB2026-07-14 03:39
121

docker.io/pytorch/pytorch:2.12.1-cuda13.2-cudnn9-runtime

linux/amd64 docker.io5.60GB2026-07-29 02:11
71

docker.io/pytorch/pytorch:2.13.0-cuda13.0-cudnn9-devel

linux/amd64 docker.io20.68GB2026-08-09 05:22
45
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