Omnigraph

Introduction

Omniverse will be made up of many extensions - from animations to physics to inferencing algorithms with DNNs to name just a few. In order for all these systems to interact with each other, we need a graph framework to “glue” it all together - not only those prebuilt components, but also provide a compute framework where clients can integrate their own functionality as well. The framework is to be flexible enough to address all of the above range of use cases, and more, as well as handling a large range of granularity of compute - from sub-millisecond warp level to hours long training of neural networks as some examples.

See Omniverse Python API Docs for additional information.