docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody linux/amd64

docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody - 国内下载镜像源 浏览次数:8
源镜像 docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody
镜像ID sha256:06d607b1fa6fb485a85a30e1ea88c0992d1026ff9ea2980e4e85b3f4470945b8
镜像TAG nbody
大小 320.56MB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /cuda-samples/sample
工作目录
OS/平台 linux/amd64
浏览量 8 次
贡献者
镜像创建 2022-09-14T14:17:45.288190537Z
同步时间 2025-12-18 10:11
更新时间 2025-12-18 15:43
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>=11.7 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 NV_CUDA_CUDART_VERSION=11.7.99-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7 CUDA_VERSION=11.7.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility
镜像标签
See summary: description NVIDIA CUDA nbody sample: io.k8s.display-name NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer NVIDIA CUDA nbody sample: name N/A: release NVIDIA container to validate GPU support: summary NVIDIA: vendor 1.0.0: version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody  docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody  docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody

Shell快速替换命令

sed -i 's#nvcr.io/nvidia/k8s/cuda-sample:nbody#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody#' 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/nvcr.io/nvidia/k8s/cuda-sample:nbody && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody  docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody  docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody'

镜像构建历史


# 2022-09-14 22:17:45  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/cuda-samples/sample"]
                        
# 2022-09-14 22:17:45  19.00B 执行命令并创建新的镜像层
RUN |2 SAMPLE_NAME=nbody CVE_UPDATES=libsasl2-2 libsasl2-modules-db /bin/sh -c ln -s /cuda-samples/${SAMPLE_NAME} /cuda-samples/sample # buildkit
                        
# 2022-09-14 22:17:45  2.02MB 复制新文件或目录到容器中
COPY /build/nbody /cuda-samples/nbody # buildkit
                        
# 2022-09-14 22:15:57  0.00B 执行命令并创建新的镜像层
RUN |2 SAMPLE_NAME=nbody CVE_UPDATES=libsasl2-2 libsasl2-modules-db /bin/sh -c mkdir -p /cuda-samples # buildkit
                        
# 2022-09-14 22:15:57  2.98MB 执行命令并创建新的镜像层
RUN |2 SAMPLE_NAME=nbody CVE_UPDATES=libsasl2-2 libsasl2-modules-db /bin/sh -c if [ -n "${CVE_UPDATES}" ]; then         apt-get update && apt-get upgrade -y ${CVE_UPDATES} &&         rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2022-09-14 22:15:11  0.00B 定义构建参数
ARG CVE_UPDATES
                        
# 2022-09-14 22:15:11  11.36KB 复制新文件或目录到容器中
COPY ./LICENSE ./licenses/LICENSE # buildkit
                        
# 2022-09-14 22:15:11  116.16MB 执行命令并创建新的镜像层
RUN |1 SAMPLE_NAME=nbody /bin/sh -c test "${SAMPLE_NAME}" = "nbody" && apt-get update && apt-get install -y --no-install-recommends         freeglut3         libgl1         libglu1     &&         rm -rf /var/lib/apt/lists/* || : # buildkit
                        
# 2022-09-14 22:15:11  0.00B 添加元数据标签
LABEL description=See summary
                        
# 2022-09-14 22:15:11  0.00B 添加元数据标签
LABEL summary=NVIDIA container to validate GPU support
                        
# 2022-09-14 22:15:11  0.00B 添加元数据标签
LABEL release=N/A
                        
# 2022-09-14 22:15:11  0.00B 添加元数据标签
LABEL version=1.0.0
                        
# 2022-09-14 22:15:11  0.00B 添加元数据标签
LABEL vendor=NVIDIA
                        
# 2022-09-14 22:15:11  0.00B 添加元数据标签
LABEL name=NVIDIA CUDA nbody sample
                        
# 2022-09-14 22:15:11  0.00B 添加元数据标签
LABEL io.k8s.display-name=NVIDIA CUDA nbody sample
                        
# 2022-09-14 22:15:11  0.00B 定义构建参数
ARG SAMPLE_NAME
                        
# 2022-08-12 07:04:35  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-08-12 07:04:35  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-08-12 07:04:35  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-08-12 07:04:35  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-08-12 07:04:35  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
                        
# 2022-08-12 07:04:35  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
                        
# 2022-08-12 07:04:35  119.70MB 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-11-7=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.7 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-08-12 07:04:25  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.7.1
                        
# 2022-08-12 07:04:25  16.53MB 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/ubuntu1804/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-08-12 07:04:25  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-08-12 07:04:25  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-08-12 07:04:25  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
                        
# 2022-08-12 07:04:25  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.7.99-1
                        
# 2022-08-12 07:04:25  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511
                        
# 2022-08-12 07:04:25  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-08-02 09:30:42  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-08-02 09:30:42  63.15MB 
/bin/sh -c #(nop) ADD file:0eb7f0555d03ff4f0755bba2c3d133e68737888f41390c17710f64b70c8e662a in / 
                        
                    

镜像信息

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更多版本

docker.io/nvcr.io/nvidia/k8s/cuda-sample:vectoradd-cuda10.2

linux/amd64 docker.io107.64MB2025-11-24 16:42
76

docker.io/nvcr.io/nvidia/k8s/cuda-sample:nbody

linux/amd64 docker.io320.56MB2025-12-18 10:11
7