exo
Local inference software that connects devices into an AI cluster, distributes models across them and exposes a dashboard and compatible model APIs.
About exo
A language model may need more memory than one local computer provides.
Who it’s for
- People running language models across multiple local devices
- Teams serving models on their own hardware
When to consider it
Consider exo when you want to pool local devices for model inference and connect existing clients through familiar APIs.
Tradeoffs & limitations
- Apache-2.0 licensed; the macOS app requires macOS Tahoe 26.2 or later, with Linux available from source. Model capacity depends on available memory and cluster networking.
SOTA overview · Documentation-based assessment · Sources & review method
Updates
No updates shared yet.
Discussion
Newest firstAsk a question or share how you use exo.
Keep it helpful. Community rules
Loading discussion…
Sources & review method
Documentation-based assessment · Oct 16, 2026 · Prepared with AI assistance; not a hands-on benchmark.
- exo device clustering, API compatibility and hardware requirements
- exo official repository and dashboard
- exo Apache-2.0 license
- Recent official maintenance commit (2026-10-13, UTC)
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
exo official website
Local inference software that connects devices into an AI cluster, distributes models across them and exposes a dashboard and compatible model APIs.
Based on official pages and announcements checked on 2026-10-16. No hands-on test, performance benchmark or popularity ranking is claimed.