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

# Quickstart

> Learn how to run and manage PaperJet

PaperJet can run on any environment that supports Docker.

Setting up your own PaperJet instance is a very simple process.

<Steps>
  <Step title="Deployment">Deploy PaperJet onto any VPS</Step>
  <Step title="Configuration">Create an admin user and add a model</Step>

  <Step title="Run a sample workflow">
    Test it out to make sure everything works
  </Step>
</Steps>

## Hardware requirements

We recommend a minimum of 2 vCPU and 4gb of RAM.

Both x86 and ARM based systems are supported.

## Docker compose

Docker compose is the easiest way to set up PaperJet on any environment.

### One-liner setup

Run these commands to deploy PaperJet instantly:

```bash theme={null}
curl -o docker-compose.yml https://raw.githubusercontent.com/MLNativeAI/paperjet/main/apps/docs/deployment/docker-compose.yml
docker compose up -d
```

This will download the complete production setup and start all services in the background.

## Configuration

Coming soon. The docker-compose is pre-configured to just start out of the box

## Model providers

### vLLM

VLLM is the recommended platform for running AI models.

### LM Studio

Currently not supported due to [a bug with structured outputs](https://github.com/lmstudio-ai/lmstudio-bug-tracker/issues/189)