Ray Serve documentation · inference-research

Fields

id

sources/serve-ray-docs

URL

https://docs.ray.io/en/latest/serve/index.html

Publisher

Ray

Kind

whitepaper

Accessed

2026-10-04

notes

Ray Serve is a scalable model serving library for building online inference APIs. Framework-agnostic, supports response streaming, dynamic request batching, multi-node/multi-GPU serving. Built on Ray core, offers flexible scheduling including fractional GPUs. Particularly well suited for model composition and multi-model serving.

Notes

Ray Serve is a scalable model serving library for building online inference APIs. Framework-agnostic, supports response streaming, dynamic request batching, multi-node/multi-GPU serving. Built on Ray core, offers flexible scheduling including fractional GPUs. Particularly well suited for model composition and multi-model serving.

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