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

# Overview

> Discover, deploy, and share preconfigured AI repos using the Runpod Hub.

export const WorkerTooltip = () => {
  return <Tooltip headline="Worker" tip="A container that runs your application code and processes requests to your Serverless endpoint. Workers are automatically started and stopped by Runpod to handle traffic spikes and ensure optimal resource utilization." cta="Learn more about workers" href="/serverless/workers/overview">worker</Tooltip>;
};

export const HandlerFunctionTooltip = () => {
  return <Tooltip headline="Handler function" tip="The core of a Runpod Serverless application. These functions define how a worker processes incoming requests and returns results." cta="Learn more about handler functions" href="/serverless/workers/handler-functions">handler function</Tooltip>;
};

export const PublicEndpointTooltip = () => {
  return <Tooltip headline="Public Endpoint" tip="A Runpod-managed endpoint providing instant access to state-of-the-art AI models through simple API calls." cta="Learn more about public endpoints" href="/public-endpoints/overview">Public Endpoint</Tooltip>;
};

export const PodTooltip = () => {
  return <Tooltip headline="Pod" tip="A dedicated GPU or CPU instance for containerized AI/ML workloads." cta="Learn more about Pods" href="/pods/overview">Pod</Tooltip>;
};

export const ServerlessTooltip = () => {
  return <Tooltip headline="Serverless" tip="A cloud computing platform that allows you to deploy AI/ML applications without provisioning or managing servers." cta="Learn more about Serverless" href="/serverless/overview">Serverless</Tooltip>;
};

<div className="overview-page-wrapper" />

The [Runpod Hub](https://console.runpod.io/hub) is a centralized repository for discovering, sharing, and deploying preconfigured AI repos optimized for <ServerlessTooltip /> and <PodTooltip /> infrastructure.

<Frame>
  <img src="https://mintcdn.com/runpod-b18f5ded/45mQOiVf5AVJdF5-/images/hub-homepage.png?fit=max&auto=format&n=45mQOiVf5AVJdF5-&q=85&s=71a480bf0caef0dc640a3644b07fb74f" width="2884" height="1772" data-path="images/hub-homepage.png" />
</Frame>

## Why use the Hub?

**For users:**

* **Production-ready solutions**: Vetted, open-source repos with minimal setup required.
* **One-click deployment**: Go from discovery to running services in minutes.
* **Configurable**: Customize parameters without diving into code.

**For creators:**

* **Showcase your work**: Share projects with the AI community.
* **Automated pipeline**: The Hub builds and tests your releases automatically.
* **Earn revenue**: Generate up to 7% of compute revenue when users deploy your repos. See [revenue sharing](/hub/revenue-sharing).

## Public Endpoints

The Hub also offers <PublicEndpointTooltip />s for popular AI models. These are ready-to-use APIs with instant access, interactive playgrounds, and usage-based pricing. Browse available models in the [model reference](/public-endpoints/reference).

## Deploy a repo

<Tabs>
  <Tab title="Serverless">
    1. Go to the [Hub](https://www.console.runpod.io/hub) and select a repo.
    2. Review hardware requirements and configuration options.
    3. Click **Deploy** → **Create Endpoint**.

    Your endpoint will be ready for integration within minutes.
  </Tab>

  <Tab title="Pod">
    1. Go to the [Hub](https://www.console.runpod.io/hub) and select a repo.
    2. Click **Deploy**, select **Pod** as the deployment type.
    3. Click **Deploy Pod**.

    After deployment, find a sample request in the Pod details pane:

    ```python theme={"theme":{"light":"github-light","dark":"github-dark"}}
    import requests

    response = requests.post(
        'https://POD_ID-80.proxy.runpod.net/v2/LOCAL/run',
        headers={
            'Content-Type': 'application/json',
            'Authorization': 'Bearer YOUR_API_KEY'
        },
        json={'input': {"prompt": "Your prompt"}}
    )
    ```
  </Tab>
</Tabs>

## Publish your own repo

Publish your GitHub repository on the Hub by preparing a <WorkerTooltip /> with a <HandlerFunctionTooltip /> and `Dockerfile`.

<Tip>
  New to building Serverless workers? Follow the [quickstart guide](/serverless/quickstart).
</Tip>

1. Add configuration files in a `.runpod` directory per the [publishing guide](/hub/publishing-guide).
2. Create a GitHub release.
3. Submit your repository through the Runpod console.
4. After review and approval, your repo appears in the Hub.

Once published, earn revenue from user deployments. Link your GitHub profile to your Runpod account for verified maintainer status. Revenue tiers range from 1% (100-999 compute hours) to 7% (10,000+ hours), paid monthly as Runpod credits.

## How Hub repos work

1. **Repository integration**: Connects with GitHub repos using releases (not commits) for versioning.
2. **Configuration**: Repos use `hub.json` and `tests.json` in a `.runpod` directory to define metadata and test procedures.
3. **Automated pipeline**: The Hub builds and tests repos on submission and monitors for new releases.
4. **Deployment**: Users browse, customize, and deploy with minimal configuration.