Atlas · GenAI 2026
Ray Serve
Ray Serve LLM (distributed, OpenAI-compatible API)
toolPeak: 2023Serving RuntimesAI consensus: 1/3
Prerequisites
- mediumLLM Inference Serving
Ray Serve can wrap vLLM for distributed serving — understanding the inference engine helps
Ray Serve IS a distributed computing framework — distributed systems knowledge is essential
Recommended reference
docs.ray.io/en/latest/serve — Ray Serve docs for distributed LLM serving patterns
Notes from AI deep research
Anthropic Opus
Distributed serving z OpenAI-compatible API. Niszowe ale potezne dla multi-model routing
OpenAI Deep Research
Złożone topologie, routery, multi-model [OA#58]
Related skills
- → is an instance of: LLM Inference Serving(3/3)