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Update IBM Cloud instructions to use persistent storage. (#766)

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Tommy Li 2020-03-10 19:43:35 -07:00 committed by GitHub
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@ -95,13 +95,11 @@ Follow these instructions to run the MNIST tutorial on Azure
Follow these instructions to run the MNIST tutorial on IBM Cloud Follow these instructions to run the MNIST tutorial on IBM Cloud
1. Follow the [IBM Cloud instructions](https://www.kubeflow.org/docs/ibm/install-kubeflow/) to deploy Kubeflow on IBM Cloud 1. Follow the [IBM Cloud instructions](https://www.kubeflow.org/docs/ibm/install-kubeflow/) to deploy Kubeflow on IBM Cloud with [IBM Cloud Block Storage](https://www.kubeflow.org/docs/ibm/install-kubeflow/#ibm-cloud-block-storage-setup).
1. Launch a Jupyter notebook 1. Launch a Jupyter notebook
* For IBM Cloud, the default NFS storage does not support some of the Python package installation. Therefore, we need to create the notebook with `Don't use Persistent Storage for User's home`. * The tutorial has been tested using the Jupyter Tensorflow 1.15 and 2.1 image with persistent storage.
* Due to the [Notebook user permission issue](https://github.com/kubeflow/kubeflow/issues/4520), we need to use custom images that were working in the previous version.
* The tutorial has been tested on image: `gcr.io/kubeflow-images-public/tensorflow-1.13.1-notebook-cpu:v0.5.0`
1. Launch a terminal in Jupyter and clone the kubeflow examples repo 1. Launch a terminal in Jupyter and clone the kubeflow examples repo