Django with PyPy
I have done some experimentation with PyPy + Django. There are two main issues:

Most database adaptors and other third-party modules cannot be compiled with PyPy (even when the wiki says they can).
One server I thought might benefit from JIT compilation because it did a fancy calculation in some requests had an increasing memory footprint, perhaps because the JIT was storing traces that turned out to be unique to each request so were never reused?

Theoretically PyPy might be a win if your server is doing interesting calculations, uses pure-python modules, and has large numbers of objects in-memory (because PyPy can reduce the memory used per-object in some circumstances). Otherwise the higher memory requirements of the JIT will be an impediment because it reduces opportunities for in-memory caching and may require extra servers to run enough server processes.
Are there some reasons of using Django with PyPy?
I read PyPy increases perfomance.