IPUs in the Cloud

Cloud partners

G-Core Labs Cloud: Getting Started with IPUs

How to access IPUs and run ML applications on G-Core Labs Cloud

Getting Started with Graphcloud

How to access IPUs and run ML applications on Graphcloud

Paperspace: Getting Started with IPUs

How to access IPUs and run ML applications on Paperspace

Quick start guides

These quick start guides can be used whether you are accessing IPUs through the cloud or if you have your own Pod hardware.

PyTorch Quick Start

Run a PyTorch application

Jupyter Notebook Quick Start

Run an application on IPUs from a Jupyter Notebook

TensorFlow 2 Quick Start

Run a TensorFlow 2 application

TensorFlow 1 Quick Start

Run a TensorFlow 1 application

PopART Quick Start

Run a PopART application

Poplar Quick Start

Run an application directly in the Poplar Graph Programming Framework

Profiling Quick Start

Profile code that runs on the IPU as well as code that runs on the host server

Monitoring Hardware Quick Start

Some tips on how to troubleshoot possible hardware problems

Background information

Poplar SDK Overview

A description of the Poplar SDK with instructions for downloading and installing

IPU Programmer’s Guide

An introduction to the IPU architecture, programming model and tools available

Using IPUs from Docker

User guide for the pre-built Graphcore Docker containers for Poplar SDK components

A Dictionary of Graphcore Terminology

A dictionary of specialised terms related to Graphcore technology

Instruction Set Architecture

Instruction set architecture containing a subset of the IPU instruction set used by the Worker threads.