6.7 Rewards for Running AI Models Locally

Most robotics platforms rely solely on robots for task execution, leaving non-robot owners with little opportunity to participate. Roborus breaks this limitation by enabling any user with a computer to contribute to the network by running AI models locally.

Here’s how it works:

• Users install the Roborus Agent SDK on their systems.

• The SDK downloads lightweight AI models or simulations for testing.

• Their system resources (CPU, GPU, network) are used to run and validate models.

• If the test passes, the user earns token rewards.

This approach serves multiple purposes:

1. Decentralized compute network: Roborus leverages thousands of distributed machines instead of relying on centralized servers.

2. Scalable model testing: New robotics and AI models can be tested at scale across diverse environments.

3. Democratized earning: Anyone can participate, even without owning a robot.

The impact is a broader ecosystem where everyday users can earn rewards and contribute value, creating a more inclusive platform.