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

# Introduction

> GPU-powered AI inference at the edge with sub-30ms network latency

# Welcome to PolarGrid

PolarGrid is edge AI infrastructure that brings GPU-powered inference closer to your users. Run LLMs and voice AI (text-to-speech, speech-to-text, end-to-end voice agents) with ultra-low latency across our edge network.

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Get your first API call working in 5 minutes
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference/overview">
    OpenAI wire-compatible endpoints — our open-source model catalog
  </Card>

  <Card title="JavaScript SDK" icon="js" href="/sdks/javascript/quickstart">
    npm install @polargrid/polargrid-sdk
  </Card>

  <Card title="Python SDK" icon="python" href="/sdks/python/quickstart">
    pip install polargrid-sdk
  </Card>
</CardGroup>

## Why PolarGrid?

### Edge-First Architecture

Your inference requests are routed to the nearest GPU-equipped edge node, minimizing round-trip latency. Critical for real-time voice AI and interactive applications.

### OpenAI-Compatible API

Wire-compatible with OpenAI's API — same endpoints, request/response shapes, and `Bearer` auth, so apps migrate with a base-URL change. PolarGrid serves its own catalog of edge-deployed open-source models (see [Models](/models)), not a proxy to OpenAI, Gemini, or Claude — requests for cloud model IDs aren't served.

### Real-Time Voice

Sub-30ms network hop to the nearest edge node, enabling natural conversational AI experiences. Network latency is the round-trip time between your client and the edge -- inference latency (model processing time) is additional and varies by model and input size. See [Models](/models#performance) for performance details.

### Managed Model Infrastructure

PolarGrid handles model deployment and scaling across edge regions. Popular open-weight models are pre-loaded and ready to use — no provisioning or GPU management required.

## Available Regions

| Region        | Location       | ID       |
| ------------- | -------------- | -------- |
| Toronto       | Canada Central | `yto-01` |
| Montreal      | Canada East    | `yul-01` |
| Montreal 02   | Canada East    | `yul-02` |
| Vancouver     | Canada West    | `yvr-02` |
| New York      | US East        | `nyc-01` |
| New York 02   | US East        | `nyc-02` |
| Dallas        | US Central     | `dfw-01` |
| Dallas 02     | US Central     | `dfw-02` |
| San Francisco | US West        | `sfo-01` |
| Los Angeles   | US West        | `lax-01` |
| Seattle       | US West        | `sea-01` |
| Chicago       | US Central     | `chi-01` |
| Phoenix       | US West        | `phx-01` |
| Washington DC | US East        | `was-01` |
| Miami         | US East        | `mia-01` |
| San Francisco | US West        | `sfo-03` |

See [Regions](/guides/regions) for endpoint URLs, aliases, and auto-routing.

## Getting Help

* **Console**: <a href="https://app.polargrid.ai" target="_blank">app.polargrid.ai</a>
* **Support**: [support@polargrid.ai](mailto:support@polargrid.ai)
* **GitHub**: <a href="https://github.com/polargrid-ai" target="_blank">github.com/polargrid-ai</a>