Run the manager and JupyterLab using Docker
The AI Unlimited manager orchestrates the engine's deployment and includes a web-based user interface for monitoring projects. And the manager is where you'll set up AI Unlimited.
You'll use JupyterLab to explore and analyze data.
You'll use Docker Compose to run the AI Unlimited manager and JupyterLab, with the AI Unlimited Jupyter Kernel, locally in containers.
For installation support, email the support team or ask the community.
Prerequisites
- A pay-as-you-go AWS or Azure account on which to deploy the engine from a Jupyter notebook
- A GitHub or GitLab account to host each project repository for authenticating users and storing project information
- Your object storage, where your Amazon or ADLS Gen2 data lake resides
- Docker installed on your computer
Set configuration file locations
-
Optionally, set the
AI_UNLIMITED_HOME
environment variable to the directory in which to store the manager's configuration and data files. Make sure the directory exists, and that appropriate permission is granted. The default location is./volumes/ai-unlimited
.Local location Container location Usage $AI_UNLIMITED_HOME /etc/td Stores data and configuration -
Optionally, set the
JUPYTER_HOME
environment variable to the directory in which to store the JupyterLab configuration files. The default location is~/.jupyter
.