Optimizing Machine Learning Compute in Production with AWS SageMaker

In the rapidly evolving landscape of machine learning, efficient resource management is crucial for optimizing performance and controlling costs. This talk will explore best practices and advanced strategies for optimizing machine learning compute in production environments using AWS SageMaker. We will delve into key features such as SageMaker’s managed infrastructure, auto-scaling capabilities, and inference components. Attendees will gain insights into leveraging SageMaker’s integrated tools for model monitoring and automated scaling to enhance model performance and operational efficiency.