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Meeting Summary

AIM397 - [NEW LAUNCH!] Introducing Amazon SageMaker Neo: Train Once Run Anywhere in the Cloud or at the Edge

Session Description

Join us as we introduce Amazon SageMaker Neo, a new capability of Amazon SageMaker that enables machine learning (ML) models to train once and run anywhere in the cloud or at the edge. ML models are trained and tuned to be accurate and deliver the right predictions. A critical aspect of these models is about performance. Developers spend a lot of time and effort to produce a model that runs efficiently on the target hardware platform. SageMaker Neo removes the barriers holding back developers from running and deploying models in the most optimized manner. With SageMaker Neo, ML models are optimized to run up to two times faster and consume less than a hundredth of the resources compared to typical models. Neo automatically optimizes models built on TensorFlow, Apache MXNet, PyTorch, ONNX, and XGboost and can be deployed on multiple hardware platforms including ARM, Intel, and Nvidia. In this chalk talk, we will dive deep into Amazon SageMaker Neo, where we will discuss the innovation driving the optimization and making machine learning models easy to train and deploy across hardware platforms.

Session Speakers
Additional Information
Chalk Talk
Artificial Intelligence & Machine Learning
300 - Advanced
Please note that session information is subject to change.
MGM
Session Schedule