> ## 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 Dedicated Endpoints

> Run custom or open-source generative AI models on dedicated GPU hardware with Friendli Dedicated Endpoints. No shared resources or infra management.

Friendli Dedicated Endpoints let you deploy custom or open-source AI models on GPU instances dedicated entirely to you—for consistent performance, full control over your deployment with no infrastructure to manage.

## What Are Friendli Dedicated Endpoints

Each endpoint runs your model on its own GPU instance. With Friendli Dedicated Endpoints, you can:

* **Bring your own model**: Run your own model or deploy any model from [Hugging Face](https://huggingface.co){/* and [Weights & Biases](https://wandb.ai)*/}.
* **Choose dedicated resources**: Select the GPU type for your workload. Each instance is fully dedicated to your model—no shared resources.
* **Scale reliably**: Trusted by leading companies for robust performance on production workloads.
* **Pay per second**: You are billed only for the time your model runs. See [Pricing](/guides/dedicated-endpoints/pricing) for details.

## Next Steps

<CardGroup cols={3}>
  <Card title="QuickStart" icon="rocket" href="/guides/dedicated-endpoints/quickstart">
    Deploy your first endpoint.
  </Card>

  <Card title="Pricing" icon="tag" href="/guides/dedicated-endpoints/pricing">
    Review per-second pricing.
  </Card>

  <Card title="Browse Models" icon="layer-group" href="https://friendli.ai/models?products=DEDICATED">
    Explore available models.
  </Card>
</CardGroup>