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A practical guide to turning Python AI models into production-ready APIs on Linux with FastAPI: install via apt/dnf/zypper, scaffold a sentiment service, add async streaming, and run Uvicorn with workers. Covers systemd + Nginx deployment, tuning (warmup, concurrency, batching, ONNX/quantization), and essentials like CORS, health/metrics, rate limits, plus embeddings/ONNX examples and quick wrk benchmarks.