Exo - AI Developer Tools Tool

Overview

Exo enables running an AI cluster at home by partitioning models optimally across everyday devices. It provides tooling for distributed AI computation with source code and documentation hosted on GitHub.

Key Features

• Partition models across multiple consumer devices for distributed execution
• Optimize placement to make efficient use of heterogeneous device resources
• Coordinate AI workloads across local devices for distributed inference or training
• Designed to run on everyday devices like laptops, phones, and single-board computers
• Source code and documentation available in the project GitHub repository

Ideal Use Cases

• Prototype distributed model inference across household devices
• Leverage spare compute across personal devices for experiments
• Evaluate model partitioning and performance trade-offs
• Host AI services locally for experimentation with private data

Getting Started

• Visit the project repository on GitHub: https://github.com/exo-explore/exo
• Read the README and architecture documentation
• Clone the repository to a primary or coordinator device
• Install dependencies listed in the repository
• Configure participating devices and local network connectivity
• Run provided examples or orchestration scripts to start distributed execution

Pricing

Not disclosed in the provided project metadata; no pricing information available in the input.

Key Information

• Category: Developer Tools
• Type: AI Developer Tools Tool