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Product Overview

Nauta software provides a multi-user, distributed computing environment for running deep learning model training experiments. Results of experiments, can be viewed and monitored using a command line interface, web UI and/or TensorBoard.

You can use existing data sets, use your own data, or downloaded data from online sources, and create public or private folders to make collaboration amongst teams easier. Nauta runs using the industry leading Kubernetes and Docker platform for scalability and ease of management.

Templates are available (and customizable) on the platform to take the complexities out of creating and running single and multi-node deep learning training experiments without all the systems overhead and scripting needed with standard container environments. To test your model, Nauta also supports both batch and streaming inference, all in a single platform.

The Nauta client software has been validated on the following operating systems and versions:

  • Ubuntu (16.04, 18.04)
  • Red Hat 7.6
  • macOS High Sierra (10.13)

Nauta User Guide Purpose

This guide describes how to use Nauta, and discusses the following topics:

Advanced Sections


To read Intel Terms and Conditions check this document.

This user guide is subject to CC-BY-ND 4.0.