Exo
Overview
A distributed local AI inference engine that allows you to run Large Language Models across multiple consumer devices. Exo creates a decentralized 'home cloud' for AI, ensuring your data never leaves your hardware while utilizing all available compute.
Exo is an open-source engine that pools multiple consumer devices — laptops, phones, and desktops — into a single cluster to run large models locally that wouldn't fit on one machine. It creates a private 'home cloud' for AI without sending data off your hardware. It targets enthusiasts who want to run bigger models privately.
Key Features
- Distributed local inference across devices
- Pools heterogeneous consumer hardware
- Runs models too big for one device
- Private, on-hardware execution
- Open-source
Best For
Enthusiasts who want to run larger models privately across their own devices.
Pros & Cons
Pros
- Pools hardware for bigger models
- Fully private and local
- Open-source
Cons
- Setup is advanced
- Performance depends on devices/network
Pulse Verdict
“The future of local-first compute. Exo's ability to pool consumer hardware for high-performance inference is a transformative win for private, decentralized intelligence.”
Pricing
Open-source and free; you provide the devices.
Pricing changes often — confirm current plans on the official site.