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AdvancedConcurrency
What is the GIL in Python and how does it affect ML workloads?
The Global Interpreter Lock (GIL) prevents multiple Python threads from executing Python code simultaneously. For ML workloads, this is largely irrelevant because NumPy, PyTorch, and most ML libraries release the GIL during C extensions. Use multiprocessing (not multithreading) for CPU-bound Python code. For production AI APIs, use async I/O for I/O-bound tasks and worker processes (Gunicorn + Uvicorn) for parallelism.
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