> For the complete documentation index, see [llms.txt](https://docs.function.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.function.network/function-network/earn-rewards/provide-compute.md).

# Provide Compute

Function Network enables users to **contribute GPU and compute resources** to power decentralized AI inference. By providing your hardware, you help scale AI while **earning onchain points**.

## **💡 How It Works**

✅ **Contribute Compute Resources** – Share your **GPU or other computing power** with the Function Network.\
✅ **Power AI Inference** – Your hardware helps run AI models efficiently in a decentralized system. ✅ **Earn Onchain Points** – Get points for your contribution. The more you provide, the higher your chance of receiving points.

## **🚀 Start Providing & Earn Points!**

By sharing your computing power, you become part of the **next-generation AI infrastructure**, helping Function Network scale while earning points.

🔗 **Get Started:** \[Function Network Dapp]


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.function.network/function-network/earn-rewards/provide-compute.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.