Deep Dive: How Apple's Core AI Framework Powers On-Device LLM Inference on M6

Semiconductor analysts dissect Apple's Core AI runtime, revealing how matrix multiplication coprocessors enable zero-copy LLM token generation.

Alongside new hardware, Apple unveiled Core AI, a system-level framework built specifically to leverage the dual 16-core Neural Engine in M6 and M5 Ultra chips.

Core AI introduces dynamic quantisation and weight-streaming mechanisms that allow 70-billion-parameter models to run within unified system memory at over 45 tokens per second.

By bypassing traditional API overhead and offloading attention layers directly to dedicated tensor cores, Apple aims to make privacy-first local AI execution standard across desktop apps.