This article describes how you can start an instance with Jupyter Notebook or JupyterLab preinstalled and how to access them. For this tutorial, we assume that you are already able to configure and run an instance, if not you can find a guide on how to start an instance here. If you prefer to install Jupyter Notebook manually, you can refer to this guide.

Configuring your instance

When configuring a new instance, you are able to select either Jupyter Notebook or JupyterLab under the Catalog tab of the Image section. After selection, choose the desired base image for the instance. Finally, you can generate or input the web dashboard password of your choice which is required to access the Jupyter dashboard. Note that this password is only used when authenticating in the web dashboard and different from the authentication method you set up for accessing the terminal of your instance. You can copy the password at this point but it will also be made available in the instance details page. If you don’t want to take care of the GPU driver installation yourself, make sure to select the “Install NVIDIA GPU Driver” checkbox.

Accessing your Jupyter dashboard

After configuring and creating your instance, head over to the instances list and click on your newly created instance. Here you will find the URL for the Jupyter dashboard and also be able to copy the password you set onto your clipboard.

To access the Jupyter dashboard running on your instance, simply follow the link under the Catalog Details section. After all the required packages have been installed, you will be prompted for the password you set when configuring the instance. This may take a minute or two.

After logging in, you are ready to start working with your selected Jupyter interface.

Remember to stop or destroy your instance when you are done using the Jupyter Notebook / Lab. A stopped instance can be started again later. Closing the dashboard does not shut down your instance.