NVIDIA AI Workbench provides a set of default base images, referred to as Base Environments in the application, that can be used as the starting point when creating the container for a new project.
This is a CUDA image with CUDA 11.7 and Python 3.10 and JupyterLab installed. It is based off of https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda.
AI Workbench is currently in Beta. To access the software and start using this conatiner, first sign up here: https://developer.nvidia.com/ai-workbench-early-access
All notable changes to this image are documented here
NVIDIA AI Workbench employs a shared responsibility model. The subset of responsibilities related to base images are: