Venkatesh Krishnan

Organizations need robust, scalable, and cost-effective solutions to deploy and serve foundation models (FMs). This session explores how to use Amazon SageMaker to deploy FMs to make predictions at the best price performance for any use case.

As you advance in your journey from evaluating foundation models (FMs) to building generative AI applications at scale, you need services to deploy these models at the best price performance.

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.

Are you looking to better serve your customers with data-driven decisions that enable you to act quickly on fast-evolving customer needs and requirements? Learn how you can bring AWS services and Salesforce together using Amazon AppFlow to drive targeted customization, accelerate real-time operations, simplify compliance, and differentiate your services.