SageMaker Serverless Inference illustrates Amazon's philosophy for ML workloads

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Amazon just unveiled Serverless Inference, a new option for SageMaker, its fully managed machine learning (ML) service. The goal for Amazon SageMaker Serverless Inference is to serve use cases with intermittent or infrequent traffic patterns, lowering total cost of ownership (TCO) and making the service easier to use. VentureBeat connected with Bratin Saha, AWS VP of Machine Learning, to discuss where Amazon SageMaker Serverless fits into the big picture of Amazon's machine learning offering and how it affects ease of use and TCO, as well as Amazon's philosophy and process in developing its machine learning portfolio. Inference is the productive phase of ML-powered applications.