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

# Worker Nodes Setup

### System Requirements for Worker Nodes

#### Minimum Requirements

To ensure basic functionality of the Worker Node, your system should meet the following minimum specifications:

* **CPU**: 8 VCPU Cores
* **Memory**: 16GB RAM
* **Storage**: 300GB SSD
* **GPU**: Optional (A GPU can significantly boost performance and earnings)
* **Port**: 5011 needs to be open (Can be changed to any Port)

#### Recommended Requirements

For optimal performance and to maximize earnings, we recommend the following system specifications:

* **CPU**: 16+ VCPU Cores
* **Memory**: 64GB+ RAM
* **Storage**: 1TB+ SSD
* **GPU**: NVIDIA RTX 2060 or higher (AMD and Intel AREC is not supported yet)
* **Port**: 5011 needs to be open (Can be changed to any Port)


---

# 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://brinxai.gitbook.io/brinxai-depin-ai/worker-nodes-setup.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.