Double-digit interpreters per host? Where is the expense? Interpreters have a relatively small memory overhead (<10mb). If you're running 100 interpreters per host (you shouldn't be), that's an extra $50/host/year. But you should be running <10/host, so an extra $5/host/year. Not ideal, but not "expensive", and if you care about costs your biggest mistake was using Python in the first place.
I don't know where you're seeing the < 10mb from the situation I saw they were easily consuming 30mb per interpreter. Even my cursory search around now shows them at roughly 15-20mb so assuming the 30mb Gunicorn was just misconfigured that's still an extra $100 per host using your estimate and what I'm looking at Googling around and across a situation where there are multiple public apis that's adding up pretty quickly.
Another google search shows me Gunicorn, for instance, using high memory on fork isn't exactly uncommon either.
Edit: I reworded some stuff up there and tried to make my point more clear.
