Uber open-sources Neuropod to unify AI frameworks and turn models into products

Uber today open-sourced Neuropod, an abstraction layer on top of existing machine learning frameworks that provides an interface for developing, training, and deploying AI models. It's designed to make it easier for researchers to build models in the framework of their choice while simplifying productization, according to the company. In both industry and academia, it's not uncommon for data scientists to use multiple frameworks during development. For example, Uber's Advanced Technologies Group (ATG) integrated Google's TensorFlow before transitioning to Facebook's PyTorch, which led to memory corruption and debugging problems when running alongside TensorFlow. Neuropod aims to prevent incompatibilities by making frameworks look the same when running a model, with out-of-the-box support for TensorFlow, PyTorch, Keras, and TorchScript.