Video
Deploy and scale video models with ultra-low latency, GPU infrastructure.
99.9% Uptime, 99.9% Reliability, Data Sovereignty Enabled
Batching Without Delay
Smart batching across requests to maximize GPU utilization without bloating latency.
Easy multi-AZ Deployment
One-click deployment of your models and one line of code multi-AZ endpoints for your favorite open source models.
Optimized Infrastructure
Designed for serving models efficiently with optimized batching and token streaming.
Ultra-Low Latency
Our platform is designed for high-throughput, low-latency inference on video models that need to operate live.
How It Works
Choose Your Project
Sign up, generate an API key in settings, and create a new project in the dashboard to deploy pre-optimized models like Whisper, OpenVoice, XTTS, LLaMA, etc.
Copy & Deploy
Simply copy the provided SDK code from your project dashboard and paste it into your application with your API key as an environment variable.
Go Live
Your model endpoint is ready to use - start making API calls immediately with full streaming support.
PolarGrid’s network drastically reduces time-to-first-inference:
- Guided first-time experience immediately prompts users to generate API keys.
- Clear visual feedback and one-click access to SDK integration, Playground, and API docs accelerate implementation.
PolarGrid offers a built-in Playground to quickly test inference requests using your API key:
- Paste your key and get real-time responses.
- No need to set up external environments or tooling before validation.
API keys can be created with custom permission levels, including full admin access:
- Role-based access design from the start.
- Security-first: keys only visible once, designed for secure CI/CD integration.
Use Cases
Our edge infrastructure powers AI applications focused on delivering a best in class real-time user experience.