Speed matters in the data path between compute and storage to maximize valuable compute cycles during model training and inference. ML training can be accelerated with specialized compute, high performance storage, and simplification of the operations around ML workflows. We’ll show you ways to optimize performance for commonly used frameworks in AI/ML workflows. Explore tutorials to get started with Amazon SageMaker: bit.ly/4aDUbQY Learn more about AWS events: go.aws/3kss9CP Subscribe: More AWS videos: bit.ly/2O3zS75 More AWS events videos: bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterpr...