State of the art performance for NLP, computer vision, and more

Graphcore AI Solutions

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NLP Performance

The IPU delivers impressive performance for NLP, including BERT-Large training, cutting hours from AI development cycles.

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Best for Computer Vision

Graphcore delivers significant performance advantages for AI applications, and running EfficientNet on the IPU requires extra INT8 quantization.

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Standard Warranty

All Graphcore powered systems come with a standard 1 year warranty and support, and offered with an extended 3 year option.

Explore Graphcore Powered Products

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BOW-2000


Solution value property image1.4 PetaFLOPS Compute system
Solution value property imageFor Proof of Concept using IPU
Solution value property imageDesigned for AI training & inference
Solution value property imageSystems can grow to supercomputing scale
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BOW-POD16


Solution value property imagePre-configured 5.6 PetaFLOPS AI system
Solution value property imageDedicated, Powerful AI Compute
Solution value property imageTurnkey, ready for installation
Solution value property imageExtensive documentation and support
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BOW-POD64


Solution value property image22.4 PetaFLOPS of AI training or inference
Solution value property imageSimple, Powerful Built in Networking
Solution value property imageFor production deployment workloads
Solution value property imageSimplified data center integration
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BOW POD: Graphcore 3rd Generation IPU Systems

  • Utilizing newly developed Wafer-on-Wafer(WoW) 3D stacking IPUs for unprecedented performance gains
  • Up to 358 PetaFLOPS of AI processing power with BOW-POD1024
  • BOW-2000 retains a 1U blade form factor, compatible with existing Graphcore IPU-POD systems

Major IPU Innovation: BOW POD vs. IPU-PODCLASSIC

  • WoW IPUs have up to 40% increase in AI computing and 16% increased power efficiency compared to previous generation IPUs
  • Recognition Model and Inference AI Training excels with BOW POD systems delivering higher throughput and faster train times
  • Developed by TSMC and Graphcore, the BOW POD’s WoW IPUs are specifically designed for AI Learning
Poplar

Poplar® Graph Framework Software

The Poplar SDK is a complete software stack, which was co-designed from scratch with the IPU, to implement our graph toolchain in an easy-to-use and flexible software development environment.

graphcore poplar framework support

Standard Framework Support

Poplar seamlessly integrates with standard machine intelligence frameworks:

  • TensorFlow 1 & 2 support with full performant integration with TensorFlow XLA backend
  • PyTorch support for targeting IPU using the PyTorch ATEN backend
  • PopARTâ„¢ (Poplar Advanced Runtime) for training & inference; supports Python/C++ model building plus ONNX model input
  • Full support for PaddlePaddle and other frameworks is coming soon

Build your ideal system

Need a bit of help? Contact our sales engineers directly.

IPU Acceleration Across Industries

use case financial

Finance

use case healthcare

Healthcare

use case telecommunications

Telecommunications