Deploy a Teradata AI Unlimited Interface Using Docker

This product is in preview and is subject to change. If you’re interested in learning more about this offering, contact Teradata Support.

This document outlines the steps for deploying and setting up a Teradata AI Unlimited interface using Docker. You can use JupyterLab or workspace client as your Teradata AI Unlimited interface.

You can deploy JupyterLab using:

Docker Engine
Docker Compose

For information about workspace client, see Use Teradata AI Unlimited With Workspace Client.

Deploy JupyterLab using Docker Engine

Pull the Docker image from the DockerHub at https://hub.docker.com/r/teradata/ai-unlimited-jupyter.

Run the Docker image once you’ve set the JUPYTER_HOME variable.

Modify the directories based on your requirements.

docker run -detach \
  --env “accept_license=Y” \
  --publish 8888:8888 \
  --volume ${JUPYTER_HOME}:/home/jovyan/JupyterLabRoot \
  teradata/ai-unlimited-jupyter:latest

The command downloads and starts a JupyterLab container and publishes the ports needed to access it. Connect to JupyterLab using the URL: http://localhost:8888 and enter the token when prompted. For detailed instructions, see Teradata Vantage™ Modules for Jupyter Installation Guide or Use Vantage from a Jupyter Notebook.

Deploy JupyterLab using Docker Compose

With Docker Compose, you can easily configure, install, and upgrade your Docker-based JupyterLab installation.

Install Docker Compose. See https://docs.docker.com/compose/install/.

Create a jupyter.yml file.

version: "3.9"

services:
  jupyter:
    deploy:
      replicas: 1
    platform: linux/amd64
    container_name: jupyter
    image: ${JUPYTER_IMAGE_NAME:-teradata/ai-unlimited-jupyter}:${JUPYTER_IMAGE_TAG:-latest}
    environment:
      accept_license: "Y"
    ports:
      - 8888:8888
    volumes:
      - ${JUPYTER_HOME:-./volumes/jupyter}:/home/jovyan/JupyterLabRoot/userdata
    networks:
      - td-ai-unlimited

networks:
  td-ai-unlimited:

Go to the directory where the jupyter.yml file is located and start JupyterLab.
```
docker compose -f jupyter.yml up
```
Once the JupyterLab server is initialized and started, you can connect to JupyterLab using the URL: http://localhost:8888 and enter the token when prompted. For detailed instructions, see Teradata Vantage™ Modules for Jupyter Installation Guide or Use Vantage from a Jupyter Notebook.

Congrats! You’re all set up to use Teradata AI Unlimited.

Next steps

Get started with Teradata AI Unlimited by running a simple workflow. See Run a Sample Workload in JupyterLab Using Teradata AI Unlimited.
Interested in learning how Teradata AI Unlimited can help you with real-life use cases? Coming soon! Keep watching this space for the GitHub link.

If you have any questions or need further assistance, please visit our community forum where you can get support and interact with other community members.

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