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Getting Started with Amazon SageMaker Studio
book

Getting Started with Amazon SageMaker Studio

by Michael Hsieh
March 2022
Beginner to intermediate content levelBeginner to intermediate
326 pages
6h 49m
English
Packt Publishing
Content preview from Getting Started with Amazon SageMaker Studio

Chapter 7: Hosting ML Models in the Cloud: Best Practices

After you've successfully trained a model, you want to make the model available for inference, don't you? ML models are often the product of a business that is ML-driven. Your customers consume the ML prediction from your model, not your training jobs or processed data. How do you provide a satisfying customer experience, starting with a good experience with your ML models?

SageMaker has several options for ML hosting and inferencing, depending on your use case. Options are welcomed in many aspects of life, but it can be difficult to find the best option. This chapter will help you understand how to host models for batch inference and for online real-time inference, how to use multi-model ...

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Publisher Resources

ISBN: 9781801070157Supplemental Content