Hyphastructure has launched a distributed Edge Cloud Network for physical AI that can provide smart cities with an edge-based architecture capable of coordinating traffic, crime, and emergency services across urban areas.

The platform delivers AI inference latency under 10 milliseconds across a network of distributed nodes. This sub-10ms latency allows real-time applications including vehicle-to-vehicle (V2V) collision avoidance and smart city infrastructure.

According to the company, the new edge platform allows organisations to move from model development to real-world deployment in hours, with lower Total Cost of Ownership (TCO) and dynamic scaling and AI workload management, through software-defined networking and virtualisation.

It also allows for real-time decision-making. By processing data locally at the edge, it enables real-time insights and actions.

“Hyphastructure delivers the infrastructure layer AI-powered industries have been waiting for,” said Michael Huerta, CEO of Hyphastructure. “By moving inference to the edge, we’re removing latency barriers and opening the door to transformative applications from tele-surgery to robotics that were impossible before.”