NVIDIA AI Workbench provides a set of default base images, referred to as Base Environments in the application, that are used as the starting point when creating the container for a new project.
This is a simple image with Python 3.10 and JupyterLab installed. It is useful when building a project using your own set of dependencies.
AI Workbench is currently in Early Access. To access the software and start using this conatiner, first sign up here: https://developer.nvidia.com/ai-workbench-early-access
Use of this container falls under the AI Workbench EULA, which is available in DevZone after acceptance into the Early Access program.
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: