IPUs in the Cloud
Cloud partners
Gcore Cloud: Getting Started with IPUs
How to access IPUs and run ML applications on the Gcore 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.
Run a PyTorch application
Run an application on IPUs from a Jupyter Notebook
Run a TensorFlow 2 application
Run an application directly in the Poplar Graph Programming Framework
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
A description of the Poplar SDK with instructions for downloading and installing
An introduction to the IPU architecture, programming model and tools available
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
Kubernetes IPU Operator User Guide
Kubernetes Operator support for IPUs.
Using Kubernetes with MACVLAN to provide access to the RDMA network interface.
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