The Unnerving Sweet Spot for ML-Powered Products

Maintaining an inference server is distressing but necessary.

Dimitris Poulopoulos
Towards Data Science
5 min readSep 15, 2022

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Photo by Vadim Bogulov on Unsplash

This article continues a series of articles tackling the most frightening idea in the world of production ML: putting the damn thing in production.

In previous stories, we saw two different approaches to designing a Machine Learning (ML) powered…

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Machine Learning Engineer. I talk about AI, MLOps, and Python programming. More about me: www.dimpo.me