> ## Documentation Index
> Fetch the complete documentation index at: https://friendli.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Introducing Friendli Container

> Deploy generative AI models on your own infrastructure with Friendli Container. Full control over GPU resources, networking, and scaling.

While Friendli Model APIs and Dedicated Endpoints offer convenient cloud-based solutions, you may want even more control and flexibility. Friendli Container is the answer.

## What Is Friendli Container

Friendli Container packages the Friendli Engine, our cutting-edge serving technology, as a Docker container you run on your own infrastructure. With it, you can:

* **Run on your own infrastructure**: Deploy on your existing GPU machines or your preferred cloud provider, keeping data within your own environment.
* **Keep full control**: Customize the container configuration to match your workflows, and manage your own GPU resources for potential cost savings.
* **Serve securely and privately**: Run models entirely in your environment—ideal for sensitive data and compliance requirements.

Friendli Container is a good fit if you handle sensitive data, want full control over your serving environment, or already own a GPU cluster.

## Next Steps

<CardGroup cols={3}>
  <Card title="QuickStart" icon="rocket" href="/guides/container/quickstart">
    Run your first container, from trial access to your first inference request.
  </Card>

  <Card title="Configuration" icon="gear" href="/guides/container/configuration">
    Configure launch options, multi-GPU serving, and more in detail.
  </Card>

  <Card title="Browse Models" icon="layer-group" href="https://friendli.ai/models?products=CONTAINER">
    Explore models you can serve with Friendli Container.
  </Card>
</CardGroup>