➀ Incorporating AI at the edge requires purpose-built inference chips to address power and size constraints, with NPUs emerging as key solutions.

➁ Future-proof AI architectures must balance scalability, extendability, and efficiency, as demonstrated by Ceva’s NeuPro-M processor design.

➂ Misleading metrics like IPS and power consumption necessitate holistic evaluation, emphasizing software toolchains and adaptive hardware design.