> For the complete documentation index, see [llms.txt](https://clusterai.gitbook.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://clusterai.gitbook.io/documentation/core-concepts/incentivized-ai.md).

# Incentivized AI

Incentivized AI is the backbone of the ClusterAI ecosystem. This concept transforms passive computational resources into active participants in a global AI network. Here's how it works:

1. **Resource Contribution**: Users contribute their GPU power to the network.
2. **Task Allocation**: The network allocates AI tasks such as inference, validation, or training to these GPUs.
3. **Reward Mechanism**: Contributors earn cryptocurrency rewards based on their computational contributions.
4. **Dynamic Pricing**: Reward rates adjust based on network demand and resource availability, ensuring a balanced and efficient marketplace.

This system creates a win-win scenario: AI developers get access to a vast, decentralized supercomputer, while GPU owners monetize their hardware. The incentive structure also ensures the network's resilience and growth, as more participants are encouraged to join and contribute their resources.