1. Quick start

This document describes the essential steps steps needed to run an ML application:

  1. What you need to know before you start.

  2. Access the system and create an AI cluster.

  3. Perform the common setup steps so you are ready to run an application from the Graphcore tutorials using your chosen framework:

The rest of the document provides more information about the Gcore Cloud, and where to find more information and support,

Refer to the Jupyter Notebook Quick Start for details of how to run an application in a Jupyter Notebook.

New to IPUs?

We suggest watching the Fundamentals of the IPU and Poplar video, which introduces the IPU architecture and programming model.

You can also read the IPU Programmer’s Guide and Switching from GPUs to IPUs for Machine Learning Models for more details on these topics.