logo
docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13
linux/amd64 docker.io

该镜像为Charmed Kubeflow生态中的训练操作符镜像，用于在Kubernetes集群上部署和管理机器学习训练工作负载，支持TensorFlow、PyTorch等多种主流机器学习框架的分布式训练任务，帮助用户简化训练作业的编排与运行流程。

11
浏览次数
162.79MB
镜像大小
源镜像
docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13
镜像ID
sha256:8ef92fc2485456b287ba0528f47aaa85f89ee72e791efe45901aad5e7f61f602
镜像 TAG
1.9.3-9e9ea13
镜像大小
162.79MB
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/pebble enter
工作目录
OS/平台
linux/amd64
镜像创建
2025-10-01T07:05:10.246514057Z
同步时间
2026-06-23 11:53
浏览量
11 次
贡献者
⚙️ 环境变量 1
KeyValue
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
🏷️ 镜像标签 7
KeyValue
617747b768d5ac776eb4f68547fe95e20b15ebdd73b06b4a208bd4d2b5e42461 org.opencontainers.image.base.digest
2025-10-03T09:14:46.395702+00:00 org.opencontainers.image.created
An image for Kubeflow Training Operator Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks. org.opencontainers.image.description
Apache-2.0 org.opencontainers.image.licenses
training-operator org.opencontainers.image.ref.name
training-operator org.opencontainers.image.title
1.9.3 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 22.04 Trivy 2026-06-23 11:53 查看完整报告
46
低危 LOW
93
中危 MEDIUM
45
高危 HIGH
2
严重 CRITICAL
受影响目标 (3)
docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13 (ubuntu 22.04) ubuntu manager gobinary usr/bin/pebble gobinary
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/charmedkubeflow/training-operator:1.9.3-9e9ea13
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13  docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13

Containerd拉取命令 

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13  docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13

Shell快速替换命令 

sed -i 's#charmedkubeflow/training-operator:1.9.3-9e9ea13#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13#' 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/charmedkubeflow/training-operator:1.9.3-9e9ea13 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13  docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13'

Ansible快速分发-Containerd 

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13  docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13'

镜像构建历史 


# 2025-10-03 17:14:46  348.00B 
umoci raw add-layer --image /root/images/training-operator:1.9.3 /root/images/.temp_layer.control_data.278.tar
                        
# 2025-10-03 17:14:46  0.00B 
umoci config
                        
# 2025-10-03 17:14:46  0.00B 
umoci config
                        
# 2025-10-03 17:14:46  365.00B 
umoci raw add-layer --image /root/images/training-operator:1.9.3 /root/images/.temp_layer.278.tar --tag 1.9.3
                        
# 2025-10-03 17:14:46  0.00B 
umoci config
                        
# 2025-10-03 17:14:46  0.00B 
umoci config
                        
# 2025-10-03 17:14:46  84.92MB 
umoci raw add-layer --image /root/images/training-operator:rockcraft-base /root/images/.temp_layer.278.tar --tag 1.9.3
                        
# 2025-10-01 15:05:10  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-01 15:05:09  77.87MB 
/bin/sh -c #(nop) ADD file:32d41b6329e8f89fa4ac92ef97c04b7cfd5e90fb74e1509c3e27d7c91195b7c7 in / 
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-01 15:05:07  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息 

{
    "Id": "sha256:8ef92fc2485456b287ba0528f47aaa85f89ee72e791efe45901aad5e7f61f602",
    "RepoTags": [
        "charmedkubeflow/training-operator:1.9.3-9e9ea13",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13"
    ],
    "RepoDigests": [
        "charmedkubeflow/training-operator@sha256:37ace297b73afc86863c893d62870c52ac88ea6980aa66ddc9f609b787577b69",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/charmedkubeflow/training-operator@sha256:37ace297b73afc86863c893d62870c52ac88ea6980aa66ddc9f609b787577b69"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2025-10-01T07:05:10.246514057Z",
    "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/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/bin/pebble",
            "enter"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.base.digest": "617747b768d5ac776eb4f68547fe95e20b15ebdd73b06b4a208bd4d2b5e42461",
            "org.opencontainers.image.created": "2025-10-03T09:14:46.395702+00:00",
            "org.opencontainers.image.description": "An image for Kubeflow Training Operator\n\nKubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable \ndistributed training of machine learning (ML) models created with various ML frameworks.\n",
            "org.opencontainers.image.licenses": "Apache-2.0",
            "org.opencontainers.image.ref.name": "training-operator",
            "org.opencontainers.image.title": "training-operator",
            "org.opencontainers.image.version": "1.9.3"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 162794749,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/88b9c14396d0d1991383f3ac3ae2b6e0e4d854cf531f901efa4c1f6bb6c0b528/diff:/var/lib/docker/overlay2/5ad98e20c29713b18b19ec91b7adec60a70f742fdbfc67696b2c170139020c98/diff:/var/lib/docker/overlay2/99a8a7af45ffa1dc430375fde8c3084ee85be5839f687d98d2857fb82cd37c67/diff",
            "MergedDir": "/var/lib/docker/overlay2/06850b1dfcf6dc370b8a5a6f6ce5929043efe0aee1f8fc9d03a35bf8f0fad378/merged",
            "UpperDir": "/var/lib/docker/overlay2/06850b1dfcf6dc370b8a5a6f6ce5929043efe0aee1f8fc9d03a35bf8f0fad378/diff",
            "WorkDir": "/var/lib/docker/overlay2/06850b1dfcf6dc370b8a5a6f6ce5929043efe0aee1f8fc9d03a35bf8f0fad378/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:767e56ba346ae714b6e6b816baa839051145ed78cfa0e4524a86cc287b0c4b00",
            "sha256:c16553e726677957f534bbbbe0c8decda620f160c625025ddf98ab0d1a7ba143",
            "sha256:dcdb1e142bde7cb785c8acbaf77adfec94d19e17e1ce0a05cdf46d099007b314",
            "sha256:34eb4d3d8b88f9a0f71b0eb227c21907475ffb4d06d24fe0be75dc81266df22a"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-06-23T11:53:05.558525861+08:00"
    }
}

更多版本

docker.io/charmedkubeflow/training-operator:1.9.3-9e9ea13

linux/amd64 docker.io162.79MB2026-06-23 11:53
10
0 点赞 0 收藏镜像 Run 生成 Docker Run 命令 K8s 生成 Kubernetes YAML 回到顶部
检测到您正在使用广告拦截插件，本站为公益站点，依赖广告维持运转 🙏 查看如何关闭 ×