Developer Documentation
Get up and running fast on the IPU with our comprehensive software documentation.
BUILD NEXT GENERATION MACHINE INTELLIGENCE WITH POPLAR®
Learn more about the Graphcore Poplar® SDK and get started programming IPU systems.
Read Analyst Report on Poplar SupportOpen & Extensible Poplar Libraries
Get access to 50+ optimised functions for common ML models and 750 high performance compute elements. Modify and write custom libraries.
Straightforward Deployment
Pre-built Docker containers with Poplar SDK, Tools and frameworks images to get up and running fast.
ML Frameworks Support
Support for standard ML frameworks: TensorFlow 1 and 2, ONNX and PyTorch with PaddlePaddle coming soon.
Standard Ecosystem Support
Ready for production with Microsoft Azure deployment, Kubernetes orchestration, Docker containers and Hyper-V virtualisation & security.
Getting Started
How-To Videos
Watch on-demand videos and demos.
Running PyTorch on IPU
ResNext computer vision model demo
Running TensorFlow on IPU
MCMC probability model demo
Tutorials
Learn how to create and run programs using Poplar and PopLibs with our hands on programming tutorials.
Programs and Variables
Start tutorialUsing PopLibs
Start tutorialWriting Vertex Code
Start tutorialProfiling Output
Start tutorialBasic Machine Learning Example
Start tutorialMatrix-Vector Multiplication
Start tutorialMatrix-Vector Multiplication Optimisation
Start tutorialEfficientNet: Training
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