The latest generation of mobile system-on-chip (SoC) designs reflects a decisive shift toward localized artificial intelligence processing. Vendors are expanding silicon area allocated to dedicated neural hardware.
Latency and Privacy
Executing inference workloads directly on device reduces data transit latency to zero while eliminating bandwidth charges for developers. Furthermore, local execution satisfies strict user privacy mandates by preventing raw telemetry from leaving the handset.