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Python Basic for AI Workbench

Logo for Python Basic for AI Workbench
Features
Description
Python Basic - AI Workbench Default Container (Beta)
Publisher
NVIDIA
Latest Tag
1.0.2
Modified
March 6, 2024
Compressed Size
766.23 MB
Multinode Support
No
Multi-Arch Support
Yes

Python Basic - NVIDIA AI Workbench Default Container (Beta)

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.

CHANGELOG

All notable changes to this image are documented here

[1.0.1] - 2023-10-18

  • First draft of image, based on ubuntu:22.04
  • Installed curl git git-lfs python3 gcc python3-dev python3-pip vim
  • Installed Jupyterlab 4.0.7

[1.0.2] - 2023-11-13

  • Added sources for apt packages

Shared Responsibility Model

NVIDIA AI Workbench employs a shared responsibility model. The subset of responsibilities related to base images are:

NVIDIA Responsibilities

  1. Updating base environment images with a newer tag in case a critical or high CVE is discovered.
  2. Providing prompt notifications in the case of updates via
    • Notifications posted on the program DevZone site
    • Email to the accounts registered in the Early Access program on DevZone

End User and Organization Responsibilities

  1. Following notifications from NVIDIA, ensuring the Default Base Images are updated to the latest versions to mitigate risks associated with vulnerabilities that might impact older images.