Where Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum
This work introduces agentic-eCAL, generalizing the Energy Cost of AI Lifecycle (eCAL) metric to directed multi-agent workflows by coupling a closed-form two-rate single-call energy model (compute-bound prefill and memory-bound decode) with 7-layer OSI data transport.
Carolina Fortuna, Vid Hanžel, Tim Strnad et al.
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