A factory I consulted for was sending 2TB of camera footage to the cloud daily just to detect…

defective parts on their assembly line.

Their cloud bill was astronomical. And there was a 3-second delay between a defect appearing and the alert firing. In manufacturing, 3 seconds means 6 defective units already packaged.

We moved the model to edge — a $200 NVIDIA Jetson device sitting next to the camera. Detection dropped to 40 milliseconds. Cloud costs went to nearly zero.

This is the unsexy truth about Edge AI that the hype machine misses. It's not about cool demos. It's about latency, cost, and privacy being fundamentally better when you process data where it's created.

Every time someone tells me "just use the cloud," I ask them: would you trust a self-driving car that needs to ping a server before braking?

Learn TensorFlow Lite, ONNX Runtime, and model quantization. Edge is where AI gets real.