LLM-PowerTrace: A Dataset of Time-Resolved GPU Power Traces for AI Compute
arXiv:2610.38315v1 Announce Type: cross Abstract: AI compute is becoming large and fast-changing electrical loads. Its impacts on data center infrastructure and power grids depend not only on total energy consumption, but also on how their power draw moves over sub-second to minute timescales, including peaks, ramps, and synchronized fluctuations across accelerators. Existing energy benchmarks for large language models (LLMs) report aggregate quantities such as joules per token and rarely relea…