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

这是Kubeflow生态体系中的镜像，提供了Deepspeed运行时环境，包含Deepspeed分布式训练框架所需的依赖与配置，适用于在Kubeflow平台上开展深度学习模型的分布式训练任务。

11
浏览次数
22.73GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/deepspeed-runtime:v2.2.1
源镜像
ghcr.io/kubeflow/trainer/deepspeed-runtime:v2.2.1
镜像ID
sha256:710863548df2936d647bed38797f03fe6fb2b841e2c09c9c5a2db7fa87109548
镜像 TAG
v2.2.1
镜像大小
22.73GB
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
/home/mpiuser
OS/平台
linux/amd64
镜像创建
2026-06-17T18:21:23.102912527Z
同步时间
2026-07-14 01:36
浏览量
11 次
贡献者
⚙️ 环境变量 29
KeyValue
PATH=/home/mpiuser/.local/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>=13.1 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>=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 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 2
NV_CUDA_CUDART_VERSION=13.1.80-1 3
CUDA_VERSION=13.1.1 4
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64 5
NVIDIA_VISIBLE_DEVICES=all 6
NVIDIA_DRIVER_CAPABILITIES=compute,utility 7
NV_CUDA_LIB_VERSION=13.1.1-1 8
NV_NVTX_VERSION=13.1.115-1 9
NV_LIBNPP_VERSION=13.0.3.3-1 10
NV_LIBNPP_PACKAGE=libnpp-13-1=13.0.3.3-1 11
NV_LIBCUSPARSE_VERSION=12.7.3.1-1 12
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-1 13
NV_LIBCUBLAS_VERSION=13.2.1.1-1 14
NV_LIBCUBLAS_PACKAGE=libcublas-13-1=13.2.1.1-1 15
NVIDIA_PRODUCT_NAME=CUDA 16
NV_CUDA_CUDART_DEV_VERSION=13.1.80-1 17
NV_NVML_DEV_VERSION=13.1.115-1 18
NV_LIBCUSPARSE_DEV_VERSION=12.7.3.1-1 19
NV_LIBNPP_DEV_VERSION=13.0.3.3-1 20
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-1=13.0.3.3-1 21
NV_LIBCUBLAS_DEV_VERSION=13.2.1.1-1 22
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-1 23
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-1=13.2.1.1-1 24
NV_CUDA_NSIGHT_COMPUTE_VERSION=13.1.1-1 25
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-1=13.1.1-1 26
LIBRARY_PATH=/usr/local/cuda/lib64/stubs 27
HOME=/home/mpiuser 28
🏷️ 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 2026-07-14 01:39 查看完整报告
404
低危 LOW
2803
中危 MEDIUM
242
高危 HIGH
21
严重 CRITICAL
受影响目标 (6)
ghcr.io/kubeflow/trainer/deepspeed-runtime:v2.2.1 (ubuntu 22.04) ubuntu Python python-pkg opt/nvidia/nsight-compute/2025.4.1/host/target-linux-x64/plugins/efa_metrics/nic_sampler gobinary /etc/ssh/ssh_host_ecdsa_key /etc/ssh/ssh_host_ed25519_key /etc/ssh/ssh_host_rsa_key
无权限下载？点我修复 生成 Docker Run 命令 生成 Kubernetes YAML

Docker拉取命令 

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

Containerd拉取命令 

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

Shell快速替换命令 

sed -i 's#ghcr.io/kubeflow/trainer/deepspeed-runtime:v2.2.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/deepspeed-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/deepspeed-runtime:v2.2.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/deepspeed-runtime:v2.2.1  ghcr.io/kubeflow/trainer/deepspeed-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/deepspeed-runtime:v2.2.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/kubeflow/trainer/deepspeed-runtime:v2.2.1  ghcr.io/kubeflow/trainer/deepspeed-runtime:v2.2.1'

镜像构建历史 


# 2026-06-18 02:21:23  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /home/mpiuser/.cache && chown -R mpiuser:mpiuser /home/mpiuser/.cache # buildkit
                        
# 2026-06-18 02:21:22  7.69GB 执行命令并创建新的镜像层
RUN /bin/sh -c chown -R mpiuser:mpiuser /home/mpiuser/.local # buildkit
                        
# 2026-06-18 02:19:59  7.69GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --user -r requirements.txt # buildkit
                        
# 2026-06-18 02:18:11  9.57MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --upgrade pip # buildkit
                        
# 2026-06-18 02:18:10  197.00B 复制新文件或目录到容器中
COPY cmd/runtimes/deepspeed/requirements.txt . # buildkit
                        
# 2026-06-18 02:18:10  0.00B 设置环境变量 PATH
ENV PATH=/home/mpiuser/.local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-06-18 02:18:10  0.00B 设置环境变量 HOME
ENV HOME=/home/mpiuser
                        
# 2026-06-18 02:18:10  90.00B 复制新文件或目录到容器中
COPY /home/mpiuser/.sshd_config /home/mpiuser/.sshd_config # buildkit
                        
# 2026-06-18 02:18:10  3.42KB 复制新文件或目录到容器中
COPY /etc/ssh/sshd_config /etc/ssh/sshd_config # buildkit
                        
# 2026-06-18 02:18:09  1.70KB 复制新文件或目录到容器中
COPY /etc/ssh/ssh_config /etc/ssh/ssh_config # buildkit
                        
# 2026-06-18 02:18:09  0.00B 设置工作目录为/home/mpiuser
WORKDIR /home/mpiuser
                        
# 2026-06-18 02:18:09  332.48KB 执行命令并创建新的镜像层
RUN /bin/sh -c useradd -m mpiuser # buildkit
                        
# 2026-06-18 02:18:09  1.03MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt remove libcap2-bin -y # buildkit
                        
# 2026-06-18 02:18:09  921.29KB 执行命令并创建新的镜像层
RUN /bin/sh -c setcap CAP_NET_BIND_SERVICE=+eip /usr/sbin/sshd # buildkit
                        
# 2026-06-18 02:18:09  376.03MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt update && apt install -y --no-install-recommends     openssh-server openssh-client libcap2-bin     g++ libopenmpi-dev     python3-dev pip && rm -f /usr/bin/python && ln -s /usr/bin/python3 /usr/bin/python && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2026-01-17 05:17:50  391.46KB 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
                        
# 2026-01-17 05:17:50  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
                        
# 2026-01-17 05:17:50  4.63GB 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-13-1=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-13-1=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-13-1=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-13-1=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-13-1=${NV_NVML_DEV_VERSION}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-13-1=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-01-17 05:17:50  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-01-17 05:17:50  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-13-1=13.1.1-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=13.1.1-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-13-1=13.2.1.1-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-13-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=13.2.1.1-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-13-1=13.0.3.3-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=13.0.3.3-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.7.3.1-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=13.1.115-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=13.1.80-1
                        
# 2026-01-17 05:17:50  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.1.1-1
                        
# 2026-01-17 05:12:20  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2026-01-17 05:12:20  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2026-01-17 05:12:20  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2026-01-17 05:12:20  263.14KB 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
                        
# 2026-01-17 05:12:20  1.81GB 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-13-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-13-1=${NV_NVTX_VERSION}     libcusparse-13-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-01-17 05:12:20  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-01-17 05:12:20  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-13-1=13.2.1.1-1
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=13.2.1.1-1
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-13-1
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.7.3.1-1
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-13-1=13.0.3.3-1
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=13.0.3.3-1
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=13.1.115-1
                        
# 2026-01-17 05:12:20  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=13.1.1-1
                        
# 2026-01-17 05:06:41  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-01-17 05:06:41  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-01-17 05:06:41  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2026-01-17 05:06:41  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
                        
# 2026-01-17 05:06:41  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
                        
# 2026-01-17 05:06:41  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
                        
# 2026-01-17 05:06:41  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-13-1 2>/dev/null | grep -q "Candidate:"; then         apt-get install -y --no-install-recommends cuda-compat-orin-13-1;     fi &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-01-17 05:06:27  430.75MB 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-13-1=${NV_CUDA_CUDART_VERSION}     cuda-compat-13-1     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-01-17 05:05:57  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.1.1
                        
# 2026-01-17 05:05:57  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
                        
# 2026-01-17 05:05:57  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-01-17 05:05:57  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-01-17 05:05:57  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.1.80-1
                        
# 2026-01-17 05:05:57  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>=13.1 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>=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 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
                        
# 2026-01-17 05:05:57  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2026-01-09 15:01:44  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-01-09 15:01:44  77.87MB 
/bin/sh -c #(nop) ADD file:b499000226bd9a7c562ffa8eeb86e2d170f2a563310db6c2d79562ab53e5cb6e in / 
                        
# 2026-01-09 15:01:41  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2026-01-09 15:01:41  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2026-01-09 15:01:41  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-01-09 15:01:41  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

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    "Comment": "buildkit.dockerfile.v0",
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    "DockerVersion": "",
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}

更多版本

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

linux/amd64 ghcr.io22.73GB2026-07-14 01:36
10
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