Software & Middleware

Edge Computing

Edge Computing is the execution of computation on or near the device generating the data rather than in remote cloud datacenters. For robots this means running perception, planning, and policy inference on onboard embedded GPUs and accelerators, such as NVIDIA's Jetson line, or on nearby servers. It bounds control latency, preserves operation through network outages, and keeps sensitive sensor data local.

Why it matters for physical AI

Closed-loop control cannot tolerate cloud round-trip latency or dropped connectivity, so model efficiency on embedded hardware directly constrains which foundation models can actually run on deployed robots.