> We developed ONNX together with Microsoft to bridge this gap and to empower AI developers to choose the framework that fits the current stage of their project and easily switch between frameworks as the project evolves.

ML workflows tend to be very heterogenous with people using everything from sklearn to DL4J to play with data. standardized serialization formats make it possible to bring results from those experiments back into a hardened productionized environment for serving the model.