Relying on cloud data centers for every AI inference query introduces critical liabilities: network latency, cloud token billing, and severe privacy concerns when handling personal video or medical telemetry.
The next great frontier of computing is Edge AI Silicon—enabling 7B to 14B parameter models to execute directly on smartphones, wearable AR glasses, and industrial drones inside a strict sub-5-Watt power envelope.
By pairing aggressive INT4 / FP4 post-training quantization with specialized Neural Processing Units (NPUs) utilizing zero-overhead SRAM scratchpads, edge devices now process over 25 tokens per second completely offline.
