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

Name	Description	Container Tag	URL
Fast.ai	Paperspace's Fast.ai template is built for getting up and running with the enormously popular Fast.ai online MOOC.	paperspace/fastai:2.0-CUDA9.2-fastbook-v0.1.0	GitHub
TensorFlow 2.4.1	TensorFlow 2 with GPU support.	tensorflow/tensorflow:2.4.1-gpu-jupyter	****DockerHub
NVIDIA RAPIDS	NVIDIA's library to execute end-to-end data science and analytics pipelines.	nvcr.io/nvidia/rapidsai/rapidsai:0.18-cuda11.0-base-centos7	NVIDIA
PyTorch	Latest PyTorch release (1.8) with GPU support.	nvcr.io/nvidia/pytorch:21.02-py3	DockerHub
Hugging Face Transformers	A state-of-the-art NLP library from Hugging Face	paperspace/transformers-gpu:0.4.0	DockerHub

Other Containers

Name	Description	Container Tag	URL
TensorFlow (1.14 GPU)	Official docker images for deep learning framework TensorFlow	paperspace/dl-containers:tensorflow1140-py36-cu100-cdnn7-jupyter	DockerHub
Analytics Vidhya CV	Analytics Vidhya conatiner	jalfaizy/cv_docker:latest	GitHub
JupyterLab Data Science Stack	Jupyter Notebook Data Science Stack	jupyter/datascience-notebook	DockerHub
JupyterLab Data R Stack	Jupyter Notebook R Stack	jupyter/r-notebook	DockerHub

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