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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 wire-compatible endpoints — our open-source model catalog

JavaScript SDK

npm install @polargrid/polargrid-sdk

Python SDK

pip install polargrid-sdk

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Why PolarGrid?

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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.

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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), not a proxy to OpenAI, Gemini, or Claude — requests for cloud model IDs aren’t served.

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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.

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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.

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Available Regions

See Regions for endpoint URLs, aliases, and auto-routing.

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Getting Help