Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130  docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130  docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130

Shell快速替换命令

sed -i 's#garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130#' 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/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130  docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130  docker.io/garenleeasa/vllm-deepseek-v4-sm89:v0.28.1rc0-vision-sm89-sm120-cu130'

镜像构建历史

# 2026-09-03 13:51:22  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/root/miniconda3/bin/vllm" "serve"]
                        
# 2026-09-03 13:51:22  25.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -s /root/miniconda3/bin/vllm /usr/local/bin/vllm # buildkit
                        
# 2026-09-03 13:51:22  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c pip install flashinfer_python-0.6.18+glm53.dsv4.vision1.sm89sm120.cu130.pt213-py3-none-any.whl # buildkit
                        
# 2026-09-03 13:51:21  23.96MB 复制新文件或目录到容器中
COPY flashinfer_python-0.6.18+glm53.dsv4.vision1.sm89sm120.cu130.pt213-py3-none-any.whl . # buildkit
                        
# 2026-09-03 13:51:20  13.08GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install vllm-0.28.1rc0.dev293+gcb7a435391.glm53.dsv4.vision7.sm89sm120.cu130-cp312-cp312-linux_x86_64.whl # buildkit
                        
# 2026-09-03 13:47:38  574.43MB 复制新文件或目录到容器中
COPY vllm-0.28.1rc0.dev293+gcb7a435391.glm53.dsv4.vision7.sm89sm120.cu130-cp312-cp312-linux_x86_64.whl . # buildkit
                        
# 2026-08-27 18:00:15  650.59KB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install ninja # buildkit
                        
# 2026-08-27 18:00:13  1.59MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt install -y ninja-build # buildkit
                        
# 2026-08-27 18:00:06  19.30MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --upgrade pip wheel setuptools # buildkit
                        
# 2026-08-27 18:00:01  24.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -s /root/miniconda3/bin/pip /usr/local/bin/pip # buildkit
                        
# 2026-08-27 18:00:01  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c export LD_LIBRARY_PATH=$CONDA_PREFIX/lib:$LD_LIBRARY_PATH # buildkit
                        
# 2026-08-27 18:00:00  191.67MB 执行命令并创建新的镜像层
RUN /bin/sh -c conda install -c conda-forge libstdcxx-ng # buildkit
                        
# 2026-08-27 17:59:24  547.00B 执行命令并创建新的镜像层
RUN /bin/sh -c conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r # buildkit
                        
# 2026-08-27 17:59:22  572.00B 执行命令并创建新的镜像层
RUN /bin/sh -c conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main # buildkit
                        
# 2026-08-27 17:59:19  26.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -s /root/miniconda3/bin/conda /usr/local/bin/conda # buildkit
                        
# 2026-08-27 17:59:19  801.33MB 执行命令并创建新的镜像层
RUN /bin/sh -c sh Miniconda3-py312_26.3.2-2-Linux-x86_64.sh -b -p /root/miniconda3 # buildkit
                        
# 2026-08-27 17:59:03  489.24MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y ffmpeg --fix-missing # buildkit
                        
# 2026-08-26 08:57:21  84.37MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update # buildkit
                        
# 2026-08-26 08:57:11  161.37MB 复制新文件或目录到容器中
COPY Miniconda3-py312_26.3.2-2-Linux-x86_64.sh . # buildkit
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2026-04-17 23:30:14  391.39KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} # buildkit
                        
# 2026-04-17 23:30:14  62.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c NSYS_PATH=$(find /opt/nvidia/nsight-compute -type f -name "nsys" 2>/dev/null | head -n 1);     if [ -n "$NSYS_PATH" ] && [ ! -f /usr/local/bin/nsys ]; then         ln -s "$NSYS_PATH" /usr/local/bin/nsys;     fi # buildkit
                        
# 2026-04-17 23:30:14  4.70GB 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-13-2=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-13-2=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-13-2=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-13-2=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-13-2=${NV_NVML_DEV_VERSION}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-13-2=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-17 23:30:14  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-04-17 23:30:14  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-2=13.2.1-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.2.1-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-2=13.4.0.1-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-2
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.4.0.1-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-2=13.1.0.48-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.1.0.48-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.7.10.1-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.2.82-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.2.75-1
                        
# 2026-04-17 23:30:14  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.2.1-1
                        
# 2026-04-17 23:23:12  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2026-04-17 23:23:12  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2026-04-17 23:23:12  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2026-04-17 23:23:12  263.12KB 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} # buildkit
                        
# 2026-04-17 23:23:12  1.83GB 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-13-2=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-2=${NV_NVTX_VERSION}     libcusparse-13-2=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-17 23:23:12  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-04-17 23:23:12  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-2=13.4.0.1-1
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.4.0.1-1
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-2
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.7.10.1-1
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-2=13.1.0.48-1
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.1.0.48-1
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.2.75-1
                        
# 2026-04-17 23:23:12  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.2.1-1
                        
# 2026-04-17 23:17:56  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-04-17 23:17:56  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-04-17 23:17:56  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2026-04-17 23:17:56  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
                        
# 2026-04-17 23:17:56  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
                        
# 2026-04-17 23:17:56  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
                        
# 2026-04-17 23:17:56  0.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update &&     if apt-cache policy cuda-compat-orin-13-2 2>/dev/null | grep -q "Candidate:"; then         apt-get install -y --no-install-recommends cuda-compat-orin-13-2;     fi &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-17 23:17:50  430.92MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update &&     if apt-cache policy cuda-compat-13-2 2>/dev/null | grep -q "Candidate:"; then         apt-get install -y --no-install-recommends cuda-compat-13-2;     fi &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-17 23:17:23  1.56MB 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-13-2=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-13-2-config-common=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-13-config-common=${NV_CUDA_CUDART_VERSION}     cuda-toolkit-config-common=${NV_CUDA_CUDART_VERSION}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-17 23:17:08  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.2.1
                        
# 2026-04-17 23:17:08  10.60MB 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 -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-17 23:17:08  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-04-17 23:17:08  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-04-17 23:17:08  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.2.75-1
                        
# 2026-04-17 23:17:08  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=13.2 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>=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>=580,driver<581 brand=grid,driver>=580,driver<581 brand=tesla,driver>=580,driver<581 brand=nvidia,driver>=580,driver<581 brand=quadro,driver>=580,driver<581 brand=quadrortx,driver>=580,driver<581 brand=nvidiartx,driver>=580,driver<581 brand=vapps,driver>=580,driver<581 brand=vpc,driver>=580,driver<581 brand=vcs,driver>=580,driver<581 brand=vws,driver>=580,driver<581 brand=cloudgaming,driver>=580,driver<581 brand=unknown,driver>=590,driver<591 brand=grid,driver>=590,driver<591 brand=tesla,driver>=590,driver<591 brand=nvidia,driver>=590,driver<591 brand=quadro,driver>=590,driver<591 brand=quadrortx,driver>=590,driver<591 brand=nvidiartx,driver>=590,driver<591 brand=vapps,driver>=590,driver<591 brand=vpc,driver>=590,driver<591 brand=vcs,driver>=590,driver<591 brand=vws,driver>=590,driver<591 brand=cloudgaming,driver>=590,driver<591
                        
# 2026-04-17 23:17:08  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2026-04-10 17:47:44  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-04-10 17:47:43  78.07MB 
/bin/sh -c #(nop) ADD file:da2cd86408d9354e8bd817c8a4b8635a1d788cd20d0d70061ce02a173e8cf902 in / 
                        
# 2026-04-10 17:47:41  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2026-04-10 17:47:41  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-04-10 17:47:41  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-09-03T13:51:22.605016418+08:00",
    "Container": "",
    "ContainerConfig": null,
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    "Author": "",
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        "AttachStdin": false,
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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