The power of real-time AI inference, with the simplicity of a single command
Ship faster and scale smarter, so you can focus on building, not managing infrastructure
Engineered for real-time AI workloads
Get access to our low-latency, edge GPU compute, enabling real-time inference and creating a competitive edge for your product. With our developer centric management console, you can easily deploy models or simply use our managed inference endpoints – letting you focus on building your product and serving your customers. Scale with ease, across our fully integrated distributed network.
Edge GPU Compute
NVIDIA chips to meet your inference needs, in data centers across North America.
Low-Latency Performance
Our network ensures your end users receive sub-30 millisecond latency, unlocking real-time application performance for your AI products.
Developer First
From zero-friction model deployment, to one line inference endpoints, we make it easy so you can focus on shipping.
Seamless Scalability and Integration
Framework Compatibility
PolarGrid supports leading AI frameworks, including TensorFlow, PyTorch, and ONNX Runtime. This ensures developers can deploy pre-trained models or build new ones without compatibility issues, accelerating time to market.
Proprietary Software Layer
Our proprietary software layer includes advanced features such as automated load balancing, dynamic scaling, and AI model orchestration. These tools reduce operational complexity, enabling efficient resource management and real-time insights.
Integrated Workflow Support
PolarGrid integrates with development tools like GitHub Actions, and Docker allowing teams to automate CI/CD pipelines and optimize workflow management for faster AI deployment.
