Notebook Containers

Check out the ML Showcase for a list of projects you can fork into your account.

Base Containers

When you launch a Notebook, it runs inside a container preloaded with the notebook files and dependencies. The following is a list of containers that Paperspace maintains:

Popular Containers

Other Containers

Custom Containers

Custom containers feature lets you pull your own image from a container registry such as Docker Hub. This article will help you prepare a custom Docker container to use with Gradient, show you how to bring that Container into Gradient, and create a notebook with your custom container. We recommend using Docker to get the container image from your system to Gradient. You must run jupyter on port 8888 and allow connections from ip address 0.0.0.0. To support our notebook ide you must also include the following flags: --no-browser --NotebookApp.trust_xheaders=True --NotebookApp.disable_check_xsrf=False --NotebookApp.allow_remote_access=True --NotebookApp.allow_origin='*' if your command is jupyter notebook, if your command is jupyter lab use these instead --no-browser --LabApp.trust_xheaders=True --LabApp.disable_check_xsrf=False --LabApp.allow_remote_access=True --LabApp.allow_origin='*'.

Required field:

Container Name = Path and tags of image eg ufoym/deepo:all-jupyter-py36

Optional fields:

Registry Username = your private container registry username, can be left blank for public images
Registry Password = your private container registry password, can be left blank for public images
Command = must be Jupyter compatible, defaults to jupyter notebook --allow-root --ip=0.0.0.0 --no-browser --NotebookApp.trust_xheaders=True --NotebookApp.disable_check_xsrf=False --NotebookApp.allow_remote_access=True --NotebookApp.allow_origin='*' if left blank
Container user = optional user, defaults to 'root' if left blank

PreviousNotebook Directories NextBuilding a Custom Container

Last updated 3 years ago