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GUNICORN
Production WSGI server for Python web applications
MIT
ABOUT
AI/ML engineers need to serve model inference APIs and web applications reliably in production, but Python's built-in development servers are single-threaded, lack concurrency control, and crash under real-world traffic loads. Gunicorn provides a production-hardened WSGI HTTP server with a pre-fork worker model that automatically manages worker processes, handles graceful shutdowns, supports multiple concurrency strategies (sync, async, gevent), and integrates seamlessly with reverse proxies and process supervisors for scalable model serving.
INSTALL
pip install gunicornINTEGRATION GUIDE
1. Serve Flask-based ML model inference endpoints in production with configurable worker counts and graceful restarts
2. Deploy Django AI dashboards and web applications behind NGINX with Gunicorn as the application server
3. Run multiple concurrent model inference workers behind a single server port with automatic load distribution
4. Serve async Python web applications using gevent or tornado worker types for improved throughput
5. Integrate with systemd, Supervisor, or container orchestration platforms for production process management
TAGS
pythonweb-serverwsgideploymentmodel-serving