Edge AI Simulator

Edge AI moves machine-learning inference out of the data center and onto the device that generated the data. This simulator arranges a ring of edge devices around a central cloud server and lets each device either run a compressed model locally or send its request to the cloud for a round trip. Watch the two strategies race in real time: local inference pulses the device's own indicator light, while a cloud request has to travel out, wait for the server, and travel back. Tune the number of devices, how many run inference locally, how aggressively their models are compressed, and how far away the cloud server sits on the network to see how each choice reshapes the latency gap.