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docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64
linux/amd64 docker.io

该镜像包含Mellanox OpenFabrics Enterprise Distribution(MOFED)软件栈,提供Mellanox InfiniBand和以太网适配器所需的驱动程序、库及工具,支持高性能网络通信,适用于高性能计算(HPC)、数据中心等需要低延迟与高带宽网络的场景。

255
浏览次数
1.21GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64
源镜像
docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64
镜像ID
sha256:422e704f14a414c8f79bdc42c147f16f284550c9a265fedec5bc2659330cd7cd
镜像 TAG
23.10-1.1.9.0-ubuntu22.04-amd64
镜像大小
1.21GB
平台架构
linux/amd64
镜像源
docker.io
CMD
启动入口
/root/entrypoint.sh
工作目录
/
OS/平台
linux/amd64
镜像创建
2023-12-06T11:04:06.434524356+02:00
同步时间
2025-08-05 16:12
浏览量
255 次
贡献者
⚙️ 环境变量 9
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>=12.3 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=12.3.101-1 3
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-3 4
CUDA_VERSION=12.3.1 5
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 6
NVIDIA_VISIBLE_DEVICES=all 7
NVIDIA_DRIVER_CAPABILITIES=compute,utility 8
🏷️ 镜像标签 3
KeyValue
NVIDIA CORPORATION <cudatools@nvidia.com> maintainer
ubuntu org.opencontainers.image.ref.name
22.04 org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64  docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64  docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64

Shell快速替换命令

sed -i 's#mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64#' 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/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64  docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64  docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64'

镜像构建历史


# 2023-12-06 17:04:06  105.00B 复制新文件或目录到容器中
COPY /usr/local/sources.tgz /usr/local/ # buildkit
                        
# 2023-12-06 17:03:52  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/root/entrypoint.sh"]
                        
# 2023-12-06 17:03:52  20.84KB 复制文件或目录到容器中
ADD ./entrypoint.sh /root/entrypoint.sh # buildkit
                        
# 2023-12-06 17:03:52  0.00B 设置工作目录为/
WORKDIR /
                        
# 2023-12-06 17:03:52  967.66MB 执行命令并创建新的镜像层
RUN |11 D_OFED_VERSION=23.10-1.1.9.0 D_OS=ubuntu22.04 D_ARCH=x86_64 D_OFED_PATH=MLNX_OFED_LINUX-23.10-1.1.9.0-ubuntu22.04-x86_64 D_OFED_TARBALL_NAME=MLNX_OFED_LINUX-23.10-1.1.9.0-ubuntu22.04-x86_64.tgz D_OFED_BASE_URL=http://c-141-92-1-064 D_OFED_URL_PATH=http://c-141-92-1-064/MLNX_OFED_LINUX-23.10-1.1.9.0-ubuntu22.04-x86_64.tgz D_UDEV_FLAGS= D_NFSRDMA_FLAGS=--with-nvmf --with-nfsrdma D_WITHOUT_FLAGS=--without-rshim-dkms --without-iser-dkms --without-isert-dkms --without-srp-dkms --without-kernel-mft-dkms --without-mlnx-rdma-rxe-dkms D_APT_REMOVE=cuda /bin/sh -c set -x &&     for source in ${D_APT_REMOVE}; do rm -f /etc/apt/sources.list.d/${source}.list; done &&     apt-get -yq update &&     apt-get -yq install jq curl perl &&     (curl -sL ${D_OFED_URL_PATH} | tar -xzf -) &&     mkdir -p /etc/dpkg/dpkg.cfg.d &&     echo 'path-include=/usr/share/doc/*/examples/*' >> /etc/dpkg/dpkg.cfg.d/excludes &&     /root/${D_OFED_PATH}/mlnxofedinstall --without-fw-update --kernel-only --force ${D_UDEV_FLAGS} ${D_NFSRDMA_FLAGS} ${D_WITHOUT_FLAGS} &&     rm -rf /tmp/MLNX_OFED_LINUX* &&     sed -i '/ESP_OFFLOAD_LOAD=yes/c\ESP_OFFLOAD_LOAD=no' /etc/infiniband/openib.conf &&     cp /root/${D_OFED_PATH}/docs/scripts/openibd-post-start-configure-interfaces/post-start-hook.sh /etc/infiniband/post-start-hook.sh &&     chmod +x /etc/infiniband/post-start-hook.sh &&     apt-get -yq install iproute2 net-tools ifupdown linux-modules-$(uname -r) netplan.io &&     rm -rf /root/${D_OFED_PATH} &&     apt-get clean autoclean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-12-06 16:58:19  0.00B 设置工作目录为/root
WORKDIR /root
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_APT_REMOVE=
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_WITHOUT_FLAGS=--without-rshim-dkms --without-iser-dkms --without-isert-dkms --without-srp-dkms --without-kernel-mft-dkms --without-mlnx-rdma-rxe-dkms
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_NFSRDMA_FLAGS=--with-nvmf --with-nfsrdma
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_UDEV_FLAGS=--copy-ifnames-udev
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_OFED_URL_PATH=http://c-141-92-1-064/MLNX_OFED_LINUX-23.10-1.1.9.0-ubuntu22.04-x86_64.tgz
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_OFED_BASE_URL=https://www.mellanox.com/downloads/ofed/MLNX_OFED-23.10-1.1.9.0
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_OFED_TARBALL_NAME=MLNX_OFED_LINUX-23.10-1.1.9.0-ubuntu22.04-x86_64.tgz
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_OFED_PATH=MLNX_OFED_LINUX-23.10-1.1.9.0-ubuntu22.04-x86_64
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_ARCH=x86_64
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_OS=ubuntu20.04
                        
# 2023-12-06 16:58:19  0.00B 定义构建参数
ARG D_OFED_VERSION=5.0-2.1.8.0
                        
# 2023-12-06 04:02:18  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-12-06 04:02:18  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-12-06 04:02:18  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-12-06 04:02:18  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-12-06 04:02:18  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
                        
# 2023-12-06 04:02:18  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
                        
# 2023-12-06 04:02:18  154.88MB 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-12-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-12-06 04:02:08  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.3.1
                        
# 2023-12-06 04:02:08  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_1.0-1_all.deb &&     dpkg -i cuda-keyring_1.0-1_all.deb &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-12-06 04:02:08  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-12-06 04:02:08  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-12-06 04:02:08  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-3
                        
# 2023-12-06 04:02:08  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.3.101-1
                        
# 2023-12-06 04:02:08  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.3 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
                        
# 2023-12-06 04:02:08  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-12-01 15:49:50  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-12-01 15:49:50  77.85MB 
/bin/sh -c #(nop) ADD file:36d444e2cede3abe58191dcf28890b874c0908f5259bf7e8855338555701c4c5 in / 
                        
# 2023-12-01 15:49:48  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-12-01 15:49:48  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-12-01 15:49:48  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-12-01 15:49:48  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Id": "sha256:422e704f14a414c8f79bdc42c147f16f284550c9a265fedec5bc2659330cd7cd",
    "RepoTags": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/mellanox/mofed@sha256:59b188eea963513a9de682536bd24cc132572717658fc47c4a3242adc5a5aaf2"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-12-06T11:04:06.434524356+02:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
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        "Domainname": "",
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        "AttachStdin": false,
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        "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=12.3 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=12.3.101-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-3",
            "CUDA_VERSION=12.3.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility"
        ],
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        "Volumes": null,
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        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 1210997843,
    "GraphDriver": {
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    "Metadata": {
        "LastTagTime": "2025-08-05T16:11:34.171551957+08:00"
    }
}

更多版本

docker.io/mellanox/mofed:23.10-1.1.9.0-ubuntu22.04-amd64

linux/amd64 docker.io1.21GB2025-08-05 16:12
254
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