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ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1
linux/amd64 ghcr.io

ghcr.io/kubeflow/trainer/xgboost-runtime是Kubeflow平台中用于执行XGBoost模型训练任务的运行时环境镜像,包含XGBoost库及相关依赖,为XGBoost训练任务提供稳定一致的执行环境。

14
浏览次数
4.09GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1
源镜像
ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1
镜像ID
sha256:9374dd2122c2dbac024e23ac440ad4ab62c4e9e6e6b9d64f8a35940dd5927a74
镜像 TAG
v2.2.1
镜像大小
4.09GB
平台架构
linux/amd64
镜像源
ghcr.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
2026-06-17T18:18:00.948087406Z
同步时间
2026-07-13 18:56
浏览量
14 次
贡献者
⚙️ 环境变量 22
KeyValue
PATH=/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>=12.4 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=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536 2
NV_CUDA_CUDART_VERSION=12.4.99-1 3
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 4
CUDA_VERSION=12.4.0 5
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 6
NVIDIA_VISIBLE_DEVICES=all 7
NVIDIA_DRIVER_CAPABILITIES=compute,utility 8
NV_CUDA_LIB_VERSION=12.4.0-1 9
NV_NVTX_VERSION=12.4.99-1 10
NV_LIBNPP_VERSION=12.2.5.2-1 11
NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1 12
NV_LIBCUSPARSE_VERSION=12.3.0.142-1 13
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 14
NV_LIBCUBLAS_VERSION=12.4.2.65-1 15
NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1 16
NV_LIBNCCL_PACKAGE_NAME=libnccl2 17
NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1 18
NCCL_VERSION=2.20.5-1 19
NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4 20
NVIDIA_PRODUCT_NAME=CUDA 21
🏷️ 镜像标签 3
KeyValue
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
22.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 22.04 Trivy 2026-07-13 18:56 查看完整报告
330
低危 LOW
2395
中危 MEDIUM
203
高危 HIGH
19
严重 CRITICAL
受影响目标 (2)
ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1 (ubuntu 22.04) ubuntu Python python-pkg

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1  ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1  ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1

Shell快速替换命令

sed -i 's#ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1  ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1  ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1'

镜像构建历史


# 2026-06-18 02:18:00  1.70GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install -r requirements.txt # buildkit
                        
# 2026-06-18 02:17:41  11.42MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --upgrade pip # buildkit
                        
# 2026-06-18 02:17:40  163.00B 复制新文件或目录到容器中
COPY cmd/runtimes/xgboost/requirements.txt . # buildkit
                        
# 2026-06-18 02:17:40  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2026-06-18 02:17:40  108.92MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt update && apt install -y --no-install-recommends     python3-dev pip && rm -f /usr/bin/python && ln -s /usr/bin/python3 /usr/bin/python && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:40:07  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-04-05 07:40:07  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2024-04-05 07:40:07  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-04-05 07:40:07  262.98KB 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
                        
# 2024-04-05 07:40:07  2.03GB 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-12-4=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-12-4=${NV_NVTX_VERSION}     libcusparse-12-4=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:40:07  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-05 07:40:07  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.20.5-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.2.65-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.0.142-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.2-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.99-1
                        
# 2024-04-05 07:40:07  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.0-1
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-04-05 07:36:23  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-04-05 07:36:23  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-04-05 07:36:23  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
                        
# 2024-04-05 07:36:23  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
                        
# 2024-04-05 07:36:23  155.92MB 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-12-4=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.0
                        
# 2024-04-05 07:36:11  10.56MB 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     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
                        
# 2024-04-05 07:36:11  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-04-05 07:36:11  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.99-1
                        
# 2024-04-05 07:36:11  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 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=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
                        
# 2024-04-05 07:36:11  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-02-28 02:52:59  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-02-28 02:52:58  77.86MB 
/bin/sh -c #(nop) ADD file:21c2e8d95909bec6f4acdaf4aed55b44ee13603681f93b152e423e3e6a4a207b in / 
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-02-28 02:52:57  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:9374dd2122c2dbac024e23ac440ad4ab62c4e9e6e6b9d64f8a35940dd5927a74",
    "RepoTags": [
        "ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1"
    ],
    "RepoDigests": [
        "ghcr.io/kubeflow/trainer/xgboost-runtime@sha256:354e8e5f7c49e4899d400f8d92cd53405531a2453eca0005d28f00d41bb0a787",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/xgboost-runtime@sha256:6aff7e3b70be8ff983d1416046683b3a863e8550ee9276058a1b741431094595"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-06-17T18:18:00.948087406Z",
    "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/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\u003e=12.4 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526 brand=tesla,driver\u003e=535,driver\u003c536 brand=unknown,driver\u003e=535,driver\u003c536 brand=nvidia,driver\u003e=535,driver\u003c536 brand=nvidiartx,driver\u003e=535,driver\u003c536 brand=geforce,driver\u003e=535,driver\u003c536 brand=geforcertx,driver\u003e=535,driver\u003c536 brand=quadro,driver\u003e=535,driver\u003c536 brand=quadrortx,driver\u003e=535,driver\u003c536 brand=titan,driver\u003e=535,driver\u003c536 brand=titanrtx,driver\u003e=535,driver\u003c536",
            "NV_CUDA_CUDART_VERSION=12.4.99-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4",
            "CUDA_VERSION=12.4.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=12.4.0-1",
            "NV_NVTX_VERSION=12.4.99-1",
            "NV_LIBNPP_VERSION=12.2.5.2-1",
            "NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.2-1",
            "NV_LIBCUSPARSE_VERSION=12.3.0.142-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4",
            "NV_LIBCUBLAS_VERSION=12.4.2.65-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.2.65-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.20.5-1",
            "NCCL_VERSION=2.20.5-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.20.5-1+cuda12.4",
            "NVIDIA_PRODUCT_NAME=CUDA"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 4092278848,
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    "Metadata": {
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}

更多版本

ghcr.io/kubeflow/trainer/xgboost-runtime:v2.2.1

linux/amd64 ghcr.io4.09GB2026-07-13 18:56
13
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