Yeah. Python is pretty standard now. To implement high throughput scoring on models written in python, I have to run multiple processes with one copy of the pyt

Yeah. Python is pretty standard now. To implement high throughput scoring on models written in python, I have to run multiple processes with one copy of the python model for each process. For large models like random forests, this can eat up a lot of memory. Ideally, it would be a single model in memory with access from multiple threads. But that won't work right now cause GIL.