docker.io/projecthami/hami:v2.9.0 linux/arm64

docker.io/projecthami/hami:v2.9.0 - 国内下载镜像源浏览次数:39 温馨提示: 这是一个 linux/arm64 系统架构镜像

这是一个名为“hami”的Docker镜像，由用户“projecthami”发布在Docker Hub上。

由于我没有访问Docker Hub的能力，无法获取镜像的具体描述信息。要了解这个镜像的用途和功能，请访问Docker Hub，搜索“docker.io/projecthami/hami”查看其详细信息。

源镜像	docker.io/projecthami/hami:v2.9.0
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64
镜像ID	sha256:9f9fcdb84884f23f72a1986e7b78a1ce3b70feaec5141edbadc115f0f32a99c0
镜像TAG	v2.9.0-linuxarm64
大小	1.53GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口	/bin/bash -c entrypoint.sh $DEST_DIR
工作目录
OS/平台	linux/arm64
浏览量	39 次
贡献者
镜像创建	2026-05-19T09:52:41.022533932Z
同步时间	2026-06-15 16:00

环境变量

PATH=/k8s-vgpu/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVARCH=sbsa 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 NV_CUDA_CUDART_VERSION=13.2.75-1 CUDA_VERSION=13.2.1 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NVIDIA_DISABLE_REQUIRE=true

镜像标签

opensource@4paradigm.com: maintainer 2026-05-19T09:28:21.932Z: org.opencontainers.image.created Heterogeneous GPU Sharing on Kubernetes: org.opencontainers.image.description Apache-2.0: org.opencontainers.image.licenses 3a006c6ae2f077a2683df7805c43656c07f6dc15: org.opencontainers.image.revision https://github.com/Project-HAMi/HAMi: org.opencontainers.image.source HAMi: org.opencontainers.image.title https://github.com/Project-HAMi/HAMi: org.opencontainers.image.url v2.9.0: org.opencontainers.image.version v2.9.0: version

镜像安全扫描查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2026-06-15 16:00

低危漏洞:35

中危漏洞:46

高危漏洞:34

严重漏洞:0

docker.io/projecthami/hami:v2.9.0 (ubuntu 22.04) (ubuntu)

k8s-vgpu/bin/nvidia-device-plugin (gobinary)

k8s-vgpu/bin/nvidia-mig-parted (gobinary)

k8s-vgpu/bin/scheduler (gobinary)

k8s-vgpu/bin/vGPUmonitor (gobinary)

Chatgpt|Claude一站式支持平台提供先进的AI镜像服务，助你在国内优雅的使用Chatgpt和Claude等AI服务

无权限下载?点我修复生成Docker Run命令生成Kubernetes YAML资源

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64  docker.io/projecthami/hami:v2.9.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64  docker.io/projecthami/hami:v2.9.0

Shell快速替换命令

sed -i 's#projecthami/hami:v2.9.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64#' 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/projecthami/hami:v2.9.0-linuxarm64 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64  docker.io/projecthami/hami:v2.9.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64  docker.io/projecthami/hami:v2.9.0'

镜像构建历史


# 2026-05-19 17:52:41  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "-c" "entrypoint.sh  $DEST_DIR"]
                        
# 2026-05-19 17:52:41  0.00B 定义构建参数
ARG DEST_DIR=/usr/local
                        
# 2026-05-19 17:52:41  0.00B 设置环境变量 PATH
ENV PATH=/k8s-vgpu/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-05-19 17:52:41  698.30KB 复制新文件或目录到容器中
COPY /k8s-vgpu/lib/nvidia/libvgpu.so.v2.9.0 /k8s-vgpu/lib/nvidia/libvgpu.so.v2.9.0 # buildkit
                        
# 2026-05-19 17:52:41  26.00B 复制新文件或目录到容器中
COPY ./lib /k8s-vgpu/lib # buildkit
                        
# 2026-05-19 17:52:41  1.53KB 复制新文件或目录到容器中
COPY ./docker/vgpu-init.sh /k8s-vgpu/bin/vgpu-init.sh # buildkit
                        
# 2026-05-19 17:52:40  688.00B 复制新文件或目录到容器中
COPY ./docker/entrypoint.sh /k8s-vgpu/bin/entrypoint.sh # buildkit
                        
# 2026-05-19 17:52:40  11.37MB 复制新文件或目录到容器中
COPY /go/bin/nvidia-mig-parted /k8s-vgpu/bin/ # buildkit
                        
# 2026-05-19 17:52:40  149.00MB 复制新文件或目录到容器中
COPY /k8s-vgpu/bin /k8s-vgpu/bin # buildkit
                        
# 2026-05-19 17:31:29  11.36KB 复制新文件或目录到容器中
COPY ./LICENSE /k8s-vgpu/LICENSE # buildkit
                        
# 2026-05-19 17:31:29  0.00B 添加元数据标签
LABEL maintainer=opensource@4paradigm.com
                        
# 2026-05-19 17:31:29  0.00B 添加元数据标签
LABEL version=v2.9.0
                        
# 2026-05-19 17:31:29  0.00B 定义构建参数
ARG VERSION=v2.9.0
                        
# 2026-05-19 17:31:29  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-05-19 17:31:29  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-05-19 17:31:29  0.00B 设置环境变量 NVIDIA_DISABLE_REQUIRE
ENV NVIDIA_DISABLE_REQUIRE=true
                        
# 2026-05-19 17:31:29  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c rm -rf /usr/local/cuda-12.6/compat/libcuda.so* # buildkit
                        
# 2026-05-19 17:31:28  415.52MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-mark hold cuda-toolkit-config-common cuda-toolkit-12-config-common &&     DEBIAN_FRONTEND=noninteractive apt-get upgrade -y &&     apt-get clean &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-04-17 23:21:37  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-04-17 23:21:37  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-04-17 23:21:37  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2026-04-17 23:21:37  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 23:21:37  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 23:21:37  22.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /bin/sh -c echo "/usr/local/cuda/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2026-04-17 23:21:37  455.65MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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 23:20:32  415.03MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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 23:19:25  1.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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 23:18:51  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=13.2.1
                        
# 2026-04-17 23:18:51  10.24MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=arm64 /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 23:18:51  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2026-04-17 23:18:51  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2026-04-17 23:18:51  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=13.2.75-1
                        
# 2026-04-17 23:18:51  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 23:18:51  0.00B 设置环境变量 NVARCH
ENV NVARCH=sbsa
                        
# 2026-04-10 17:49:13  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2026-04-10 17:49:13  69.62MB 
/bin/sh -c #(nop) ADD file:94ca084e2c34d90b4443d18fa6a7d983767fa1575d4bd2c06f6e31adfea270da in / 
                        
# 2026-04-10 17:49:11  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2026-04-10 17:49:11  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2026-04-10 17:49:11  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:9f9fcdb84884f23f72a1986e7b78a1ce3b70feaec5141edbadc115f0f32a99c0",
    "RepoTags": [
        "projecthami/hami:v2.9.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.9.0-linuxarm64"
    ],
    "RepoDigests": [
        "projecthami/hami@sha256:a5658595f9de6d52fbb768a758fa32053554a5b813f88904fcb4ddea1079dfb9",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami@sha256:6cd86b3d55fe4673a2a516521881e43c73b6d48b32377e0e6a911702e9e0dbf3"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-05-19T09:52:41.022533932Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/k8s-vgpu/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=sbsa",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=13.2 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=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 brand=unknown,driver\u003e=580,driver\u003c581 brand=grid,driver\u003e=580,driver\u003c581 brand=tesla,driver\u003e=580,driver\u003c581 brand=nvidia,driver\u003e=580,driver\u003c581 brand=quadro,driver\u003e=580,driver\u003c581 brand=quadrortx,driver\u003e=580,driver\u003c581 brand=nvidiartx,driver\u003e=580,driver\u003c581 brand=vapps,driver\u003e=580,driver\u003c581 brand=vpc,driver\u003e=580,driver\u003c581 brand=vcs,driver\u003e=580,driver\u003c581 brand=vws,driver\u003e=580,driver\u003c581 brand=cloudgaming,driver\u003e=580,driver\u003c581 brand=unknown,driver\u003e=590,driver\u003c591 brand=grid,driver\u003e=590,driver\u003c591 brand=tesla,driver\u003e=590,driver\u003c591 brand=nvidia,driver\u003e=590,driver\u003c591 brand=quadro,driver\u003e=590,driver\u003c591 brand=quadrortx,driver\u003e=590,driver\u003c591 brand=nvidiartx,driver\u003e=590,driver\u003c591 brand=vapps,driver\u003e=590,driver\u003c591 brand=vpc,driver\u003e=590,driver\u003c591 brand=vcs,driver\u003e=590,driver\u003c591 brand=vws,driver\u003e=590,driver\u003c591 brand=cloudgaming,driver\u003e=590,driver\u003c591",
            "NV_CUDA_CUDART_VERSION=13.2.75-1",
            "CUDA_VERSION=13.2.1",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NVIDIA_DISABLE_REQUIRE=true"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/bin/bash",
            "-c",
            "entrypoint.sh  $DEST_DIR"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "opensource@4paradigm.com",
            "org.opencontainers.image.created": "2026-05-19T09:28:21.932Z",
            "org.opencontainers.image.description": "Heterogeneous GPU Sharing on Kubernetes",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.revision": "3a006c6ae2f077a2683df7805c43656c07f6dc15",
            "org.opencontainers.image.source": "https://github.com/Project-HAMi/HAMi",
            "org.opencontainers.image.title": "HAMi",
            "org.opencontainers.image.url": "https://github.com/Project-HAMi/HAMi",
            "org.opencontainers.image.version": "v2.9.0",
            "version": "v2.9.0"
        }
    },
    "Architecture": "arm64",
    "Os": "linux",
    "Size": 1528723611,
    "GraphDriver": {
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    }
}

更多版本

docker.io/projecthami/hami:v2.4.1

linux/amd64 docker.io364.72MB2024-12-02 17:11