Self-hosted inference orchestrators compared: LocalAI, exo, GPUStack, vLLM
4 hours ago
- Survey compares self-hosted orchestrators for OpenAI-compatible endpoints on GPU machines, covering 11 tools as of September 2026.
- Ollama is the default for single-machine use; llama.cpp and vLLM are engines that others wrap; LiteLLM is a router not a runtime.
- LocalAI offers broad modality support with distributed mode via P2P and NATS; exo excels on Apple Silicon with zero-config multi-machine.
- GPUStack and Xinference provide enterprise consoles with users, keys, and dashboards; NVIDIA Dynamo targets datacenter-scale disaggregated inference.
- SkyPilot and dstack burst jobs to clouds but are not inference servers; CoderAI adds escalation, multi-modality, and training across nodes.
- Recommendations: pick Ollama for simplicity, exo for Macs, LocalAI for breadth, GPUStack/Xinference for departments, and CoderAI for escalation and full modality support.