docker.io/docker/model-runner:latest-cuda linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda  docker.io/docker/model-runner:latest-cuda

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda  docker.io/docker/model-runner:latest-cuda

Shell快速替换命令

sed -i 's#docker/model-runner:latest-cuda#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda#' 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/docker/model-runner:latest-cuda && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda  docker.io/docker/model-runner:latest-cuda'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda  docker.io/docker/model-runner:latest-cuda'

镜像构建历史

# 2025-11-27 19:22:27  15.92MB 复制新文件或目录到容器中
COPY /app/model-runner /app/model-runner # buildkit
                        
# 2025-11-27 19:22:26  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/app/model-runner"]
                        
# 2025-11-27 19:22:26  0.00B 添加元数据标签
LABEL com.docker.desktop.service=model-runner
                        
# 2025-11-27 19:22:26  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/app/lib:/usr/local/cuda/lib64
                        
# 2025-11-27 19:22:26  0.00B 设置环境变量 MODELS_PATH
ENV MODELS_PATH=/models
                        
# 2025-11-27 19:22:26  0.00B 设置环境变量 HOME
ENV HOME=/home/modelrunner
                        
# 2025-11-27 19:22:26  0.00B 设置环境变量 LLAMA_SERVER_PATH
ENV LLAMA_SERVER_PATH=/app/bin
                        
# 2025-11-27 19:22:26  0.00B 设置环境变量 MODEL_RUNNER_PORT
ENV MODEL_RUNNER_PORT=12434
                        
# 2025-11-27 19:22:26  0.00B 设置环境变量 MODEL_RUNNER_SOCK
ENV MODEL_RUNNER_SOCK=/var/run/model-runner/model-runner.sock
                        
# 2025-11-27 19:22:26  0.00B 指定运行容器时使用的用户
USER modelrunner
                        
# 2025-11-27 19:22:26  4.08MB 执行命令并创建新的镜像层
RUN |2 LLAMA_SERVER_VARIANT=cuda LLAMA_BINARY_PATH=/com.docker.llama-server.native.linux.cuda.amd64 /bin/sh -c chmod +x /app/bin/com.docker.llama-server # buildkit
                        
# 2025-11-27 19:22:26  134.83MB 复制新文件或目录到容器中
COPY /com.docker.llama-server.native.linux.cuda.amd64/ /app/. # buildkit
                        
# 2025-11-27 19:22:24  0.00B 定义构建参数
ARG LLAMA_BINARY_PATH=/com.docker.llama-server.native.linux.cuda.amd64
                        
# 2025-11-27 19:22:24  0.00B 执行命令并创建新的镜像层
RUN |1 LLAMA_SERVER_VARIANT=cuda /bin/sh -c mkdir -p /var/run/model-runner /app/bin /models &&     chown -R modelrunner:modelrunner /var/run/model-runner /app /models &&     chmod -R 755 /models # buildkit
                        
# 2025-11-20 18:52:51  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-11-20 18:52:50  0.00B 执行命令并创建新的镜像层
RUN |1 LLAMA_SERVER_VARIANT=cuda /bin/sh -c ./apt-install.sh # buildkit
                        
# 2025-11-20 18:52:44  329.00B 复制新文件或目录到容器中
COPY scripts/apt-install.sh apt-install.sh # buildkit
                        
# 2025-11-20 18:52:44  9.61KB 执行命令并创建新的镜像层
RUN |1 LLAMA_SERVER_VARIANT=cuda /bin/sh -c groupadd --system modelrunner && useradd --system --gid modelrunner -G video --create-home --home-dir /home/modelrunner modelrunner # buildkit
                        
# 2025-11-20 18:52:44  0.00B 定义构建参数
ARG LLAMA_SERVER_VARIANT=cuda
                        
# 2025-05-06 05:49:34  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-05-06 05:49:34  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2025-05-06 05:49:34  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-05-06 05:49:34  240.11KB 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
                        
# 2025-05-06 05:49:34  3.44GB 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-12-9=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-9=${NV_NVTX_VERSION}     libcusparse-12-9=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-06 05:49:34  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-05-06 05:49:34  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.26.5-1+cuda12.9
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.26.5-1
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.26.5-1
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-9=12.9.0.13-1
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.9.0.13-1
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-9
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.9.5-1
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-9=12.4.0.27-1
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.4.0.27-1
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.9.19-1
                        
# 2025-05-06 05:49:34  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.9.0-1
                        
# 2025-05-06 05:38:35  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2025-05-06 05:38:35  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2025-05-06 05:38:35  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2025-05-06 05:38:35  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64
                        
# 2025-05-06 05:38:35  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-05-06 05:38:35  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
                        
# 2025-05-06 05:38:35  247.01MB 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-12-9=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-9     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-06 05:38:23  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.9.0
                        
# 2025-05-06 05:38:23  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
                        
# 2025-05-06 05:38:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2025-05-06 05:38:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2025-05-06 05:38:23  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.9.37-1
                        
# 2025-05-06 05:38:23  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>=12.9 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>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 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
                        
# 2025-05-06 05:38:23  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2025-04-28 17:44:51  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-04-28 17:44:50  78.10MB 
/bin/sh -c #(nop) ADD file:ad85a9d7b0a74c2140bd51d9c4559cca392991e0c95f84cb139347348e5d1f9a in / 
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-04-28 17:44:48  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Id": "sha256:c9226c85221bdbb3c39750939c312bb453a2d8ca177a6bb2df00ca30f161d652",
    "RepoTags": [
        "docker/model-runner:latest-cuda",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/docker/model-runner:latest-cuda"
    ],
    "RepoDigests": [
        "docker/model-runner@sha256:823f25067769ff06467c5d2778b29d2afcb5a28134ab58e2ffeeda054bb61d4f",
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-11-27T11:22:27.029688097Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "modelrunner",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.9 brand=unknown,driver\u003e=535,driver\u003c536 brand=grid,driver\u003e=535,driver\u003c536 brand=tesla,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=vapps,driver\u003e=535,driver\u003c536 brand=vpc,driver\u003e=535,driver\u003c536 brand=vcs,driver\u003e=535,driver\u003c536 brand=vws,driver\u003e=535,driver\u003c536 brand=cloudgaming,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=550,driver\u003c551 brand=grid,driver\u003e=550,driver\u003c551 brand=tesla,driver\u003e=550,driver\u003c551 brand=nvidia,driver\u003e=550,driver\u003c551 brand=quadro,driver\u003e=550,driver\u003c551 brand=quadrortx,driver\u003e=550,driver\u003c551 brand=nvidiartx,driver\u003e=550,driver\u003c551 brand=vapps,driver\u003e=550,driver\u003c551 brand=vpc,driver\u003e=550,driver\u003c551 brand=vcs,driver\u003e=550,driver\u003c551 brand=vws,driver\u003e=550,driver\u003c551 brand=cloudgaming,driver\u003e=550,driver\u003c551 brand=unknown,driver\u003e=560,driver\u003c561 brand=grid,driver\u003e=560,driver\u003c561 brand=tesla,driver\u003e=560,driver\u003c561 brand=nvidia,driver\u003e=560,driver\u003c561 brand=quadro,driver\u003e=560,driver\u003c561 brand=quadrortx,driver\u003e=560,driver\u003c561 brand=nvidiartx,driver\u003e=560,driver\u003c561 brand=vapps,driver\u003e=560,driver\u003c561 brand=vpc,driver\u003e=560,driver\u003c561 brand=vcs,driver\u003e=560,driver\u003c561 brand=vws,driver\u003e=560,driver\u003c561 brand=cloudgaming,driver\u003e=560,driver\u003c561 brand=unknown,driver\u003e=565,driver\u003c566 brand=grid,driver\u003e=565,driver\u003c566 brand=tesla,driver\u003e=565,driver\u003c566 brand=nvidia,driver\u003e=565,driver\u003c566 brand=quadro,driver\u003e=565,driver\u003c566 brand=quadrortx,driver\u003e=565,driver\u003c566 brand=nvidiartx,driver\u003e=565,driver\u003c566 brand=vapps,driver\u003e=565,driver\u003c566 brand=vpc,driver\u003e=565,driver\u003c566 brand=vcs,driver\u003e=565,driver\u003c566 brand=vws,driver\u003e=565,driver\u003c566 brand=cloudgaming,driver\u003e=565,driver\u003c566 brand=unknown,driver\u003e=570,driver\u003c571 brand=grid,driver\u003e=570,driver\u003c571 brand=tesla,driver\u003e=570,driver\u003c571 brand=nvidia,driver\u003e=570,driver\u003c571 brand=quadro,driver\u003e=570,driver\u003c571 brand=quadrortx,driver\u003e=570,driver\u003c571 brand=nvidiartx,driver\u003e=570,driver\u003c571 brand=vapps,driver\u003e=570,driver\u003c571 brand=vpc,driver\u003e=570,driver\u003c571 brand=vcs,driver\u003e=570,driver\u003c571 brand=vws,driver\u003e=570,driver\u003c571 brand=cloudgaming,driver\u003e=570,driver\u003c571",
            "NV_CUDA_CUDART_VERSION=12.9.37-1",
            "CUDA_VERSION=12.9.0",
            "LD_LIBRARY_PATH=/app/lib:/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.9.0-1",
            "NV_NVTX_VERSION=12.9.19-1",
            "NV_LIBNPP_VERSION=12.4.0.27-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-9=12.4.0.27-1",
            "NV_LIBCUSPARSE_VERSION=12.5.9.5-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-9",
            "NV_LIBCUBLAS_VERSION=12.9.0.13-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-9=12.9.0.13-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.26.5-1",
            "NCCL_VERSION=2.26.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.26.5-1+cuda12.9",
            "NVIDIA_PRODUCT_NAME=CUDA",
            "MODEL_RUNNER_SOCK=/var/run/model-runner/model-runner.sock",
            "MODEL_RUNNER_PORT=12434",
            "LLAMA_SERVER_PATH=/app/bin",
            "HOME=/home/modelrunner",
            "MODELS_PATH=/models"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": [
            "/app/model-runner"
        ],
        "OnBuild": null,
        "Labels": {
            "com.docker.desktop.service": "model-runner",
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 3927923807,
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