Developers spend much time and effort delivering machine learning models that can make fast and accurate predictions in real time. These models become even more critical for edge devices where memory and processing power are constrained. Amazon SageMaker Neo lets developers run and develop models in the most optimized way: train the models once and run them anywhere in the cloud and at the edge. In this chalk talk, we dive deep into Neo and show you how this capability of Amazon SageMaker automatically optimizes models built on TensorFlow, Apache MXNet, PyTorch, and ONNX.