AI RESEARCH
The Energy Blind Spot: NVIDIA's Flagship Edge AI Hardware Cannot Support Process-Level Energy Attribution
arXiv CS.AI
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ArXi:2605.27599v1 Announce Type: cross Agentic AI workloads - where a single user goal triggers multi-step orchestration, tool calls, retries, and failure recovery - are being targeted for edge deployment, with NVIDIA, Dell, HP, ASUS, MSI, Acer, and Gigabyte all shipping GB10-based desktop AI systems in 2026. We recently nstrated that orchestration structure dominates agentic energy cost, with workflows consuming 4.33x energy per successful goal than linear baselines and OOI reaching 7.63x for multi-step reasoning tasks.