Jon Peddie Research (JPR) has prepared a new white paper, Rethinking Edge AI Costs: RRAM vs. Digital ASICs, examining the system-level economics of analog in-memory computing (A-IMC) using resistive random-access memory (RRAM) and conventional digital application-specific integrated circuits (ASICs). The paper evaluates how model storage, data movement, manufacturing, testing, and software integration influence the cost of deploying AI inference at the edge.
This white paper can be downloaded free of charge here.