Production and MLOps Section 089

Serving Models in Production

The server that sits between your trained model and a real user — how it loads, answers and stays up.

10 of 10 lessons published Three reading levels on every lesson

Start with “Serving a model with FastAPI”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Serving a model with FastAPI
  2. NVIDIA Triton inference server
  3. BentoML
  4. Ray Serve
  5. Text Generation Inference (TGI)
  6. gRPC vs REST for inference
  7. Warm-up and cold starts
  8. Serving many models on one machine
  9. Streaming token responses
  10. Health checks and readiness probes