Kubeflow is a machine learning framework for Kubernetes cluster. If you want to use it, you need to find a way to move the image to your own environment.

At present, the container image of version 0.3.3 has been moved back. You can use the following script to download it from Aliyun's image service station:

• Kubeflow system container image (0.3.3):

echo ""
echo "================================================================="
echo "Pull kubeflow images for system from aliyun.com ..."
echo "This tools created by openthings, NO WARANTY. 2018.11.28."
echo "================================================================="

MY_REGISTRY=registry.cn-hangzhou.aliyuncs.com/openthings

echo ""
echo "1. centraldashboard"
docker pull ${MY_REGISTRY}/kubeflow-images-public-centraldashboard:v0.2.1
docker tag ${MY_REGISTRY}/kubeflow-images-public-centraldashboard:v0.2.1 gcr.io/kubeflow-images-public/centraldashboard:v0.2.1 

echo ""
echo "2. jupyterhub-k8s"
docker pull ${MY_REGISTRY}/kubeflow-jupyterhub-k8s:v20180531-3bb991b1
docker tag ${MY_REGISTRY}/kubeflow-jupyterhub-k8s:v20180531-3bb991b1 gcr.io/kubeflow/jupyterhub-k8s:v20180531-3bb991b1

echo ""
echo "3. tf_operator"
docker pull ${MY_REGISTRY}/kubeflow-images-public-tf_operator:v0.2.0
docker tag ${MY_REGISTRY}/kubeflow-images-public-tf_operator:v0.2.0 gcr.io/kubeflow-images-public/tf_operator:v0.2.0

echo ""
echo "4. ambassador"
docker pull ${MY_REGISTRY}/quay-io-datawire-ambassador:0.30.1
docker tag ${MY_REGISTRY}/quay-io-datawire-ambassador:0.30.1 quay.io/datawire/ambassador:0.30.1

echo ""
echo "5. redis"
docker pull ${MY_REGISTRY}/redis:4.0.1
docker tag ${MY_REGISTRY}/redis:4.0.1 redis:4.0.1

echo ""
echo "6. seldonio/cluster-manager"
docker pull ${MY_REGISTRY}/seldonio-cluster-manager:0.1.6
docker tag ${MY_REGISTRY}/seldonio-cluster-manager:0.1.6 seldonio/cluster-manager:0.1.6

echo ""
echo "Finished."
echo ""

• TensorFlow machine learning engine container image (1.12.0):

## Add Tag for registry.cn-hangzhou.aliyuncs.com/openthings
MY_REGISTRY=registry.cn-hangzhou.aliyuncs.com/openthings
MY_IMAGE_CPU=tensorflow-1.12.0-notebook-cpu:v-base-76107ff-897
MY_IMAGE_GPU=tensorflow-1.12.0-notebook-gpu:v-base-76107ff-897

## Push mirror image
## Tag to original docker iamges name.

echo ""
echo "1. tensorflow-1.12.0-notebook-cpu"
echo "PULL: ${MY_REGISTRY}/kubeflow-images-public-${MY_IMAGE_CPU}"
docker pull ${MY_REGISTRY}/kubeflow-images-public-${MY_IMAGE_CPU}
docker tag ${MY_REGISTRY}/kubeflow-images-public-${MY_IMAGE_CPU} gcr.io/kubeflow-images-public/${MY_IMAGE_CPU} 

echo ""
echo "2. tensorflow-1.12.0-notebook-gpu"
echo "PULL: ${MY_REGISTRY}/kubeflow-images-public-${MY_IMAGE_GPU}"
docker pull ${MY_REGISTRY}/kubeflow-images-public-${MY_IMAGE_GPU}
docker tag ${MY_REGISTRY}/kubeflow-images-public-${MY_IMAGE_GPU} gcr.io/kubeflow-images-public/${MY_IMAGE_GPU}

echo ""
echo "FINISHED."
echo ""

• If you want to be a porter, please refer to the following for the source code script: https://github.com/openthings/kubernetes-tools/kubeflow

More references:

• Kubeflow machine learning workflow framework
• Guide to use Kubeflow
• Kubeflow quick start
• Introduction to Kubeflow: a component, portable and extensible machine learning stack for Kubernetes
• PyTorch supports Kubernetes cluster
• Customize Notebook Images for JupyterHub
• Machine learning system based on Kubernetes
• Kubernetes integrated TensorFlow service
• Spark machine learning tool chain - Introduction to MLflow