Optimizing Python for High Performance on VPS
Go beyond 'hello world'. Learn how to tune the GIL, use Cython, and optimize Django/FastAPI for maximum throughput.
Taming the Global Interpreter Lock (GIL)
Python's Global Interpreter Lock (GIL) can be a bottleneck for CPU-bound tasks. On AIHostOn's multi-core VPS instances, we recommend using the multiprocessing module or a task queue like Celery to distribute work across available cores. For web applications, using a production-grade server like Gunicorn with Uvicorn workers allows you to handle thousands of concurrent connections by leveraging asynchronous I/O and process-based scaling.
Just-In-Time Compilation with PyPy
If your Python application is pure-Python and lacks heavy C-extensions, switching from CPython to PyPy can yield significant performance gains. Because AIHostOn provides high-frequency CPUs, the JIT (Just-In-Time) compiler in PyPy can optimize your loops into machine code, often rivaling the speed of C. We provide pre-built PyPy images to help you test this optimization with a single click.
