> For the complete documentation index, see [llms.txt](https://docs.inferix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inferix.io/inferix-whitepaper/decentralized-visual-computing.md).

# Decentralized visual computing

Inferix is a decentralized physical GPU network connected to end users, graphic software, or AI models through a feature-rich software layer that is continuously expanded by Inferix Labs and the community of developers within the Inferix ecosystem. Inferix is built upon the core PoR algorithm, which integrates both on-chain and off-chain verification. This section will outline the system architecture and key design details of the Inferix decentralized GPU system.

#### Figure 11: <a href="#fig_decentralized_rendering_architecture" id="fig_decentralized_rendering_architecture"></a>

<figure><img src="/files/hj5Wc1IXV6rENH7P1Lgm" alt=""><figcaption><p>Inferix decentralized rendering architecture</p></figcaption></figure>

The system architecture of the Inferix network is described in [Figure 11](#fig_decentralized_rendering_architecture), consisting of three main components: Manager Node, Worker Node, and Client Apps. Data is stored and accessed through a Decentralized Storage System.


---

# 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:

```
GET https://docs.inferix.io/inferix-whitepaper/decentralized-visual-computing.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.