docker.io/projecthami/hami:v2.8.3 - 镜像下载

docker.io/projecthami/hami:v2.8.3

linux/amd64 docker.io

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。

浏览次数

478.92MB

镜像大小

国内镜像

swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3

源镜像

docker.io/projecthami/hami:v2.8.3

镜像ID

sha256:148e802a42b391dbf330ddc29ae3f76ac788c53fe66a1934be5686d7dd0567fc

镜像 TAG

v2.8.3

镜像大小

478.92MB

平台架构

linux/amd64

镜像源

docker.io

项目信息

Hub 主页所有 TAG

CMD

启动入口

/bin/bash -c entrypoint.sh $DEST_DIR

工作目录

OS/平台

linux/amd64

镜像创建

2026-05-19T08:46:02.646339131Z

同步时间

2026-07-24 11:10

浏览量

17 次

贡献者

⚙️ 环境变量 9

Key	Value
`PATH=/k8s-vgpu/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>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 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	`2`
`NV_CUDA_CUDART_VERSION=12.6.77-1`	`3`
`CUDA_VERSION=12.6.3`	`4`
`LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64`	`5`
`NVIDIA_VISIBLE_DEVICES=all`	`6`
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`	`7`
`NVIDIA_DISABLE_REQUIRE=true`	`8`

🏷️ 镜像标签 11

Key	Value
`opensource@4paradigm.com`	`maintainer`
`2026-05-19T08:42:20.354Z`	`org.opencontainers.image.created`
`Heterogeneous GPU Sharing on Kubernetes`	`org.opencontainers.image.description`
`Apache-2.0`	`org.opencontainers.image.licenses`
`ubuntu`	`org.opencontainers.image.ref.name`
`8f039ad22bfc14970e2ea557f24c411c34203079`	`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`
`v2.8.3`	`org.opencontainers.image.version`
`v2.8.3`	`version`

🛡️ 镜像安全扫描

ubuntu 22.04 Trivy 2026-07-24 11:10 查看完整报告

低危 LOW

108

中危 MEDIUM

高危 HIGH

严重 CRITICAL

受影响目标 (5)

docker.io/projecthami/hami:v2.8.3 (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

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3  docker.io/projecthami/hami:v2.8.3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3  docker.io/projecthami/hami:v2.8.3

Shell快速替换命令

sed -i 's#projecthami/hami:v2.8.3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3#' 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:v2.8.3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3  docker.io/projecthami/hami:v2.8.3'

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:v2.8.3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3  docker.io/projecthami/hami:v2.8.3'

镜像构建历史


# 2026-05-19 16:46:02  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 16:46:02  0.00B 定义构建参数
ARG DEST_DIR=/usr/local
                        
# 2026-05-19 16:46:02  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 16:46:02  684.26KB 复制新文件或目录到容器中
COPY /k8s-vgpu/lib/nvidia/libvgpu.so.v2.8.3 /k8s-vgpu/lib/nvidia/libvgpu.so.v2.8.3 # buildkit
                        
# 2026-05-19 16:46:02  26.00B 复制新文件或目录到容器中
COPY ./lib /k8s-vgpu/lib # buildkit
                        
# 2026-05-19 16:46:02  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 16:46:02  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 16:46:02  11.83MB 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 16:46:02  153.82MB 复制新文件或目录到容器中
COPY /k8s-vgpu/bin /k8s-vgpu/bin # buildkit
                        
# 2026-05-19 16:42:54  11.36KB 复制新文件或目录到容器中
COPY ./LICENSE /k8s-vgpu/LICENSE # buildkit
                        
# 2026-05-19 16:42:54  0.00B 添加元数据标签
LABEL maintainer=opensource@4paradigm.com
                        
# 2026-05-19 16:42:54  0.00B 添加元数据标签
LABEL version=v2.8.3
                        
# 2026-05-19 16:42:54  0.00B 定义构建参数
ARG VERSION=v2.8.3
                        
# 2026-05-19 16:42:54  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2026-05-19 16:42:54  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2026-05-19 16:42:54  0.00B 设置环境变量 NVIDIA_DISABLE_REQUIRE
ENV NVIDIA_DISABLE_REQUIRE=true
                        
# 2026-05-19 16:42:54  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 16:42:54  62.26MB 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
                        
# 2024-11-23 02:20:17  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-11-23 02:20:17  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-11-23 02:20:17  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2024-11-23 02:20:17  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-11-23 02:20:17  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
                        
# 2024-11-23 02:20:17  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
                        
# 2024-11-23 02:20:17  161.85MB 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-12-6=${NV_CUDA_CUDART_VERSION}     cuda-compat-12-6     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-10-13 05:01:58  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.3
                        
# 2024-10-13 05:01:58  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
                        
# 2024-10-13 05:01:58  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2024-10-13 05:01:58  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-10-13 05:01:58  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.77-1
                        
# 2024-10-13 05:01:58  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 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
                        
# 2024-10-13 05:01:58  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-09-12 00:25:18  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-09-12 00:25:17  77.86MB 
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in / 
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

{
    "Id": "sha256:148e802a42b391dbf330ddc29ae3f76ac788c53fe66a1934be5686d7dd0567fc",
    "RepoTags": [
        "projecthami/hami:v2.8.3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami:v2.8.3"
    ],
    "RepoDigests": [
        "projecthami/hami@sha256:a602d716b30235ca2ebac455668b10476e756c21736a3fb21acf4df3cb6e5316",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/projecthami/hami@sha256:9cf661adecf6416172ee0db1a26ce9d6fa7e58767aad956ace528785aedfed70"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-05-19T08:46:02.646339131Z",
    "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=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.6 brand=unknown,driver\u003e=470,driver\u003c471 brand=grid,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=vapps,driver\u003e=470,driver\u003c471 brand=vpc,driver\u003e=470,driver\u003c471 brand=vcs,driver\u003e=470,driver\u003c471 brand=vws,driver\u003e=470,driver\u003c471 brand=cloudgaming,driver\u003e=470,driver\u003c471 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",
            "NV_CUDA_CUDART_VERSION=12.6.77-1",
            "CUDA_VERSION=12.6.3",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/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": "2026-05-19T08:42:20.354Z",
            "org.opencontainers.image.description": "Heterogeneous GPU Sharing on Kubernetes",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.revision": "8f039ad22bfc14970e2ea557f24c411c34203079",
            "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": "v2.8.3",
            "version": "v2.8.3"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 478921546,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/b0905f768d2ad2f586c1d89722a6041e39d939fb63b7b99b15f8a1b11b3c4db5/diff:/var/lib/docker/overlay2/c2709c1e9c3ec312f0a2f5cb493258935ee6e3d52c20d2c5a77f0eee4621900c/diff:/var/lib/docker/overlay2/f0ca8b0f31e51286fef0388f23a5759883d3b392d010615f7189786894d3e597/diff:/var/lib/docker/overlay2/af92dd961c62dc315c99eff7b160f17d2df74cf068d60a8e39ef24e6fb31e44d/diff:/var/lib/docker/overlay2/12c62f0af2b3af61945278e4b98adca1f801294e79b1683e6348ccffba6c42d7/diff:/var/lib/docker/overlay2/22007aa90b6c22b69fd2071d2fa0af1157773aec3e4e1fe5595dde85f8fa8fcd/diff:/var/lib/docker/overlay2/a23407cd56ccb595c6e6d742e22622e156cce9f17582cbfe57a6fad3c91b2f91/diff:/var/lib/docker/overlay2/f0923191dcb721983b482122b8668494a7a1f082b6cadddf2a4af0f8257494fa/diff:/var/lib/docker/overlay2/caa067376179e22ca06c761414866f389ff4b2e3d9bcacecaa502298640b767a/diff:/var/lib/docker/overlay2/08a0f0ebd411d86cd6fb573ce2e8aa2ab5f48294ca0065e749b59c1b24e30dfb/diff:/var/lib/docker/overlay2/e0e96f32a1a65b4ded686e77e59128a250f1bb93f704bd5a894cd1634ca2104c/diff:/var/lib/docker/overlay2/2a6af03e92d7e43bbfc17d0937c5f438be476f46afc5ab9ce5caf48c7c2fce01/diff:/var/lib/docker/overlay2/c99dd35874ae2338b7c51b71f1f16655a20877b13810d6748315fa63c74a1b55/diff",
            "MergedDir": "/var/lib/docker/overlay2/9d57e662e1eab05e687891b268d0316db4ccc3a65e92274e3865a46e85034552/merged",
            "UpperDir": "/var/lib/docker/overlay2/9d57e662e1eab05e687891b268d0316db4ccc3a65e92274e3865a46e85034552/diff",
            "WorkDir": "/var/lib/docker/overlay2/9d57e662e1eab05e687891b268d0316db4ccc3a65e92274e3865a46e85034552/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:2573e0d8158209ed54ab25c87bcdcb00bd3d2539246960a3d592a1c599d70465",
            "sha256:782979f338e98d1e0241d3cb112e75d90e3484563e23090673d97e9b82c71c11",
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        ]
    },
    "Metadata": {
        "LastTagTime": "2026-07-24T11:10:28.117000702+08:00"
    }
}

更多版本

docker.io/projecthami/hami:v2.4.1

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