nGraph Compiler stack

nGraph is an open-source graph compiler for Artificial Neural Networks. The nGraph Compiler stack provides an inherently efficient graph-based compilation infrastructure designed to be compatible with many upcoming Application-Specific Integrated Circuits, like the Intel® Nervana™ Neural Network Processor (Intel® Nervana™ NNP), while also unlocking a massive performance boost on any existing hardware targets for your neural network: both GPUs and CPUs. Using its flexible infrastructure, you will find it becomes much easier to create Deep Learning (DL) models that can adhere to the “write once, run anywhere” mantra that enables your AI solutions to easily go from concept to production to scale.

Frameworks using nGraph to execute workloads have shown up to 45X performance boost compared to native implementations. For a high-level overview, see the Introduction and our latest Release Notes.

nGraph Python API

Backend Support

Distributed Training

Indices and tables