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.Quickstart
Get your first API call working in 5 minutes
API Reference
OpenAI-compatible endpoints for easy migration
JavaScript SDK
npm install @polargrid/polargrid-sdk
Python SDK
pip install polargrid-sdk
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
Drop-in replacement for OpenAI’s API. Migrate existing applications with minimal code changes.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 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 |
| Toronto 02 | Canada Central | yto-02 |
| 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 | dal-01 |
| Dallas 02 | US Central | dal-02 |
| San Francisco | US West | sfo-01 |
Getting Help
- Console: app.polargrid.ai
- Support: support@polargrid.ai
- GitHub: github.com/polargrid-ai