AWS Summit DC 2022 - Amazon SageMaker Inference explained: Which style is right for you?

Machine learning (ML) can be resource intensive. To maximize your ML investments, high-performance and cost-effective solutions are needed so you can use ML models in production at scale. In this session, we present use cases for deploying machine learning models using Amazon SageMaker. We discuss optimized infrastructure choices; real-time, autoscaling asynchronous, serverless, and batch endpoint deployment options; multi-container endpoints; multi-model endpoints; model monitoring; and CI/CD integration for your ML workloads. Learn more: AWS in the Public Sector - https://go.aws/3GE1VnW Upcoming events - https://go.aws/3NQVu30 Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://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 enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWS #AWSSummit #PublicSector #AI #ML #AWS #AmazonWebServices #CloudComputing