In this article:
- Create a Jupyter Notebook with Gradient
- Run your Notebook
- Stop your Notebook
- View and Download your Artifacts
- Clone your Notebook
- Delete your Notebook
- Collaborate on your Gradient Notebook - Coming Soon!
01. Choose base container
We’ve preselected a few to examples to get you started with a data science environment.
The existing list of base containers lives here. Paperspace is looking forward to supporting many different containers over time. Some containers might be locked unless you’re registered for a class or part of a beta test group.
02. Choose what machine type your Notebook will run on
This is infrastructure that your notebook will run on.
Our hardware is configured to work with the tools and packages in each of the approved containers. Unlike Paperspace regular Machines, notebooks VMs are managed by Paperspace, the machine disappears when the notebook isn’t running.
03. Name your Notebook & Create!
Provide a friendly name for your Notebook, and click Create Notebook. Once your Notebook is created it will quickly go from Pending to Running, and you're ready to get started! If you want to continue using your Notebook another time, be sure to click Stop so you're not charged.
Click Open to launch your Notebook in your local browser window. Check out Jupyter documentation here.
Note: Running a Jupyter Notebook Instance from within the Paperspace Native app will open Jupyter in your default web browser
Click Stop to stop your Notebook from running. When your Notebook is stopped, the billing session will end. You'll see how long your Running Time was for the latest session.
Click the downward arrow to the right of your Notebook name to view your Notebook Artifacts. New artifacts are only available after you have stopped running your notebook.
Click Clone to pick up from where you left off previously. Only stopped Notebooks can be cloned.
Click Delete to remove your Notebook. Careful, this will permanently delete your Notebook. (Note: you can only delete a notebook once it has stopped running.)