The Open Neural Network Exchange (ONNX) is described as a standard that will allow developers to move their neural networks from one framework to another, provided both adhere to the ONNX standard. Companies must choose the framework they're going to use for their model before they start developing it, but the framework that offers the best options for testing and tweaking a neural network aren't necessarily the frameworks with the features you want when you bring a product to market. The press release states that Caffe2, PyTorch, and Microsoft's Cognitive Toolkit will all support the ONNX standard when it's released this month. Models trained with one framework will be able to move to another for inference.