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Author here. We have been building ML infra for FloydHub for over 3 years now and learned a ton. It is not easy as we thought it was! We are open sourcing our learning in a blog series - hoping it will be useful for companies who build their own ML infrastructure.

This article focuses on how to use EC2 effectively and save overall cost for ML infra. There are a lot of low-hanging-fruit opportunities that most companies we work with don't adopt. Anything else I missed?



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