The framework inference flow with Vitis™ AI whole graph optimizer (WeGo) offers an accelerated path from training to inference by leveraging the native PyTorch and TensorFlow frameworks. This video demonstrates how WeGo helps to deliver an enhanced user experience from training to deployment by providing automatic partitioning, quantization, and compilation within frameworks. It also explains how WeGo works and what benefits users can get from this great new approach.