> For the complete documentation index, see [llms.txt](https://docs.tensorwave.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorwave.com/welcome-to-tensorwave/introduction-to-rocm.md).

# Introduction to ROCm

ROCm, otherwise known as Radeon Open Compute, is an open source GPU Compute Framework that enables developers to customize their GPU software while collaborating with other developers. It consists of a variety of drivers, development tools, and API's that enables GPU programming from the low-level kernel to end-user applications. ROCm can be deployed in many ways, including through the use of containers such as Docker, Spack, and your own build from source.

{% hint style="info" %}
Learn more about ROCm [here](https://rocm.docs.amd.com/en/latest/what-is-rocm.html).
{% endhint %}

## ROCm Quickstart Guide

* [Linux](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/quick-start.html)


---

# 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.tensorwave.com/welcome-to-tensorwave/introduction-to-rocm.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.