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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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mnist/README.md
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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
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
* 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`.
* 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`
* The tutorial has been tested using the Jupyter Tensorflow 1.15 and 2.1 image with persistent storage.
1. Launch a terminal in Jupyter and clone the kubeflow examples repo