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Meeting Summary

ARC302-R - [REPEAT] AI/ML-powered microservices

Session Description

Companies across industries want to use machine learning models in real time. To do this, customers need to use machine learning models in conjunction with their microservices architectures where high throughput and low latency are paramount. In this session, we cover how Amazon SageMaker enables low-latency real-time inferencing and review considerations needed to achieve satisfactory performance. We discuss how Amazon SageMaker enables large-scale batch inferencing. We then detail how to make these batch inferences available in low-latency environments. We conclude with practical tips and tricks and provide demos that show these techniques in action.

Additional Information
Chalk Talk
Architecture
300 - Advanced
Please note that session information is subject to change.
Session Schedule