Kumo Relational NIM

Kumo Relational is a pretrained foundation model for predictions across related tables. It uses examples supplied with a request rather than requiring a separate trained model for each prediction task.

The Kumo Relational NIM hosts the model for inference. Use Kumo Relational Client to submit prediction requests to its endpoint and receive results in your Python application.

What you can predict

Choose the prediction type that matches the output you need:

Use the NIM

• Deploy, Install, and Connect covers endpoint setup, client installation, and authentication.
• Quickstart walks through a first prediction.
• How Kumo Relational Works explains how related records and labeled examples become model input.