AWS re:Invent 2022 - Deploy ML models for inference at high performance & low cost, ft AT&T (AIM302)

High-performance, cost-effective model deployment is critical to maximize the return on your ML investments. Amazon SageMaker provides the breadth and depth of fully managed deployment features to achieve optimal inference performance and cost, while reducing operational burden. In this session, learn how to use SageMaker inference capabilities to quickly deploy ML models in production at scale. Discover SageMaker deployment options including: infrastructure choices; real-time, serverless, asynchronous, and batch inference; single-model, multi-model, and multi-container endpoints; auto scaling; SageMaker Inference Recommender; model monitoring; and SageMaker MLOps integration. Learn how AT&T used Amazon SageMaker to optimize ML model deployment at scale. Learn more about AWS re:Invent at https://go.aws/3ikK4dD. 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. #reInvent2022 #AWSreInvent2022 #AWSEvents