This is sort of a general question, but I’ve been working on fine tuning some models on regression task using GPU instances on AWS. I can already estimate the cost seems to be rather astronomical. So I’m wondering as a cheaper option (hopefully) if I should just extract the pooled output and then run plain old regression models on a distributed architecture like Spark. Does anyone have experience comparing these two options in terms of cost and performance? Thanks!