> For the complete documentation index, see [llms.txt](https://docs.datarhei.com/restreamer/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datarhei.com/restreamer/knowledge-base/user-guides/connect-to-youtube.md).

# How do I start a GPU Encoding?

## How can I use the GPU from the Raspberry Pi?

The graphics processor (GPU) takes over computationally intensive tasks and thus relieves the central processor (CPU). The function is directly controlled in the Restreamer with FFmpeg. The freed processor time can thus be used for other tasks.

{% embed url="<https://youtu.be/yPy3ElSkoSA>" %}
**YouTube Video:** Quick start guide for GPU encoding on a Raspberry Pi.
{% endembed %}

{% hint style="success" %}
Not only Raspberry PI GPUs are supported. If a GPU is detected on the system, it is ready for use.
{% endhint %}

{% hint style="info" %}
GPU support is available for every stream.
{% endhint %}

## Learn more

{% content-ref url="/pages/-MYd\_eWFK56LZQkA-iAN" %}
[User Guides](/restreamer/knowledge-base/user-guides.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MXb\_m72sKwXpgM5udfT" %}
[Knowledge Base](/restreamer/knowledge-base/manual.md)
{% endcontent-ref %}


---

# Agent Instructions
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## Querying This Documentation
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