🖥️ Earn as a Node

Run SELF OS and Power the Resonatia Mesh

Install SELF OS on your device and start earning ESSENCE tokens by running AI models for the network.

Your hardware becomes part of a global decentralized mesh, serving AI inference requests and earning rewards.

What is SELF OS?

SELF OS is a lightweight operating system designed specifically for running AI models on cell phones.

SELF OS connects your device to the Resonatia mesh network, allowing you to:

  • Download and run AI models optimized for your hardware
  • Receive inference requests from developers using Resonatia
  • Earn ESSENCE tokens for every successful inference
  • Control your availability, pricing, and resource allocation

How It Works

1. Install SELF OS

Download and install SELF OS on your device. It works on Windows, macOS, Linux, and even Raspberry Pi.

2. Configure Your Node

Set your preferences: which models to run, pricing per request, availability schedule, and resource limits.

3. Start Earning

Your node automatically receives inference requests, runs models, and earns ESSENCE tokens for each execution.

System Requirements

SELF OS is designed to run on a wide range of hardware

Minimum Requirements

  • 4GB RAM
  • 10GB free storage
  • Stable internet connection
  • Windows 10+, macOS 10.15+, or Linux

Recommended for Best Performance

  • 8GB+ RAM
  • 50GB+ free storage
  • Dedicated GPU (optional, for faster inference)
  • Always-on connection (for maximum earnings)

Earning Potential

Your earnings depend on several factors:

  • Model popularity: Popular models receive more requests
  • Your pricing: Set competitive rates to attract more requests
  • Uptime: More availability = more opportunities to earn
  • Hardware performance: Faster inference = more requests per hour
  • Network demand: Peak usage times generate more requests

ESSENCE tokens are automatically credited to your account after each successful inference.

Ready to Get Started?

Download SELF OS and start earning ESSENCE tokens today

Need help? Check out our documentation or sign in to access the console.