Signal Coordination latency pushes compute from the data centre toward the robot

Summary

Coordinating fleets of robots requires very low latency, which is pulling computing power out of distant data centres and closer to the robots. CB Insights reports that this raises the importance of edge AI processors in robot coordination and is fuelling new competition. It highlights SiMa.ai, which sits in the top 1 percent of health scores and has reached the scaling level of commercial maturity. The company positions itself directly against Nvidia with a physical AI platform. It offers drop-in replacements for Nvidia's Jetson Nano and NX products. Its pitch is to ease bottlenecks in latency and energy use at the edge.