The Energy Blind Spot: NVIDIA's Flagship Edge AI Hardware Cannot Support Process-Level Energy Attribution

In three linesNVIDIA's GB10 edge AI hardware (ASUS Ascent GX10) lacks CPU energy counters and monitoring interfaces (IPMI, SCMI). Only instantaneous GPU power is exposed via NVML. Agentic workloads consume 4.33x more energy than linear baselines. Per-process energy attribution remains impossible on this platform unlike x86/RAPL.

Summary generated by Claude — human-verified