Ray Serve
A scalable model-serving library built on Ray — compose multiple models, scale each independently, and handle complex inference graphs across a cluster.
API & Serving Advanced
Category
API & Serving
Difficulty
Advanced
When to use
You're serving multiple models or a complex inference pipeline and need independent scaling, composition, and cluster-level resource management.
When not to use
You have a single model and just need a REST endpoint — FastAPI or BentoML is far less setup.
Alternatives
BentoML FastAPI Triton