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A cost effective way of deploying models on AWS is to use 'zappa' (autotemplating for lambda + API gateway).

This just works, and costs my team less for a year than one week of Sagemaker or kubernetes architectures.

https://www.corbettanalytics.com/deploy-machine-learning-mod...




If you have a large model in excess of 500mb, any advice on the next best way of deploying as cost effectivtely as possible?




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