(Hands-On) Create a Notebook Server in Your Kubeflow Cluster

The following is an excerpt from a live session dedicated to reviewing the Jupyter notebook that makes up the solution for this particular Kaggle Competition example.

After watching this video you will deploy a notebook server where you will use Distributed Training w/ PyTorch to create a model for the Corona Hack Challenge.

1. Check your Enterprise Kubeflow version

To check your version, refer to the bottom left corner in the Central Dashboard.


Remember your Enterprise Kubeflow version, as you will need to follow instructions that are specific to the version you are running.

3. Create a new notebook

Click on + New Notebook.

4. Name your notebook

Specify a name for your notebook:

5. Select Docker image

Make sure you are using the default Docker image. Choose one of the following options based on your version. This image will have the following naming scheme:


The <IMAGE_TAG> varies based on the Kubeflow as a Service release.

6. Increase the workspace volume size

Increase the Workspace Volume size to 10GB:

7. Create your notebook

Click LAUNCH to create the notebook:

8. Connect to your notebook

When the notebook is available, click CONNECT to connect to it: