# Self-Hosted Inference Orchestrators Compared

> Which self-hosted AI tools fit your needs in September 2026?
- Title: Self-Hosted Inference Orchestrators Compared · Nexlab
- Summary: Which self-hosted AI tools fit your needs in September 2026? Ollama suits single-machine use; vLLM offers high throughput; CoderAI enables multi-machine…
- Keywords: ollama, vllm, localai, exo, xinference, gpustack, coderai, llama.cpp, gpu, kubernetes, cloud burst, inference
- Source: Nexlab — https://nexlab.net/articles/self-hosted-inference-orchestrators-compared-2026
- Read time: 1 min
- Topics: ollama, vllm, localai, exo, xinference, gpustack, coderai, llama.cpp, gpu, kubernetes, cloud burst, inference
## What are self-hosted inference orchestrators?
Tools that run ai models on your own hardware without cloud.

> Self-hosted inference orchestrators run ai models on your own hardware without cloud.
## Ollama: Simple for one machine
One binary, runs text, vision, embeddings on a single device.

> Ollama: One binary, runs text, vision, embeddings on a single device.
## llamafile: Portable model runner
Single executable for linux, macos, windows with llama.cpp.

> llamafile: Single executable for linux, macos, windows with llama.cpp.
## llama.cpp: Engine for direct use
Spans machines via rpc layer split or tensor parallelism.

> llama.cpp: Spans machines via rpc layer split or tensor parallelism.
## LiteLLM: Router for shared teams
Routes requests between endpoints with keys and budgets.

> LiteLLM: Routes requests between endpoints with keys and budgets.
## LocalAI: All-in-one distributed
Runs text, image, video, audio with p2p federation and caching.

> LocalAI: Runs text, image, video, audio with p2p federation and caching.
## exo: Apple Silicon stack
Uses thunderbolt 5 for tensor parallelism across macs.

> exo: Uses thunderbolt 5 for tensor parallelism across macs.
## GPUStack: Enterprise clusters
Manages users, keys, and dashboards for gpu clusters.

> GPUStack: Manages users, keys, and dashboards for gpu clusters.
## Xinference: Model registry
Includes speech, image, rerank with shared kv across replicas.

> Xinference: Includes speech, image, rerank with shared kv across replicas.
## NVIDIA Dynamo: Datacenter fabrics
Solves rack-level routing with kv-aware caching on kubernetes.

> NVIDIA Dynamo: Solves rack-level routing with kv-aware caching on kubernetes.
## SkyPilot: Cloud bursting
Schedules jobs across on-prem clusters and clouds.

> SkyPilot: Schedules jobs across on-prem clusters and clouds.
## CoderAI: Multi-modal scaling
Escalates models from local to rented gpu with cost caps.

> CoderAI: Escalates models from local to rented gpu with cost caps.
## When to use which tool?
Pick based on your hardware, needs, and scale.

> Pick based on your hardware, needs, and scale.
## What happens next?
Choose the tool that fits your specific situation.

> Choose the tool that fits your specific situation.
## Key takeaway

Ollama suits single-machine use; vLLM offers high throughput; CoderAI enables multi-machine scaling with cost control.