SageMaker Serverless Inference illustrates Amazon’s philosophy for ML workloads. Featuring Bratin Saha, AWS VP of Machine Learning artwork
Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis

SageMaker Serverless Inference illustrates Amazon’s philosophy for ML workloads. Featuring Bratin Saha, AWS VP of Machine Learning

  • S3E22
  • 24:59
  • April 21st 2022

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.

We 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.

Article published on VentureBeat

Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis

I've got tech, data, and media, and i'm not afraid to use them.

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Coming from a technology background, i've had the chance to learn to play many instruments on the way to becoming a one man band and an orchestrator.

Before starting a career as an analyst and journalist, i served Fortune 500, startups and NGOs as a consultant, built and managed projects, products and teams of all sizes and shapes, and got involved in award-winning research. I still try to do that stuff as much as possible.