Comment by ahallan

I've used it at work to speed up some standard Python code (without any c-bound library usage). It sped up the code by 5 times.

I've deployed used the pypy:3.9 image on docker.

One thing I did notice is that it was significantly faster on my local machine vs when I tried to deploy it using an AWS lambda/fargate. I know this is because of virtualization/virtual-cpu, but there was not much I could do to improve it.