Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node. - Imran Latif; Alex C. Newkirk; Matthew R. Carbone; Arslan Munir; Yuewei Lin; Jonathan Koomey; Xi Yu; Zhiuha Dong (CoRR, 2024)

Single-Node Power Demand During AI Training: Measurements on an 8-GPU NVIDIA H100 System. - Imran Latif; Alex C. Newkirk; Matthew R. Carbone; Arslan Munir; Yuewei Lin; Jonathan Koomey; Xi Yu; Zhihua Dong (IEEE Access, 2025)

Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation. - Alex C. Newkirk; Jared Fernandez; Jonathan Koomey; Imran Latif; Emma Strubell; Arman Shehabi; Constantine Samaras (CoRR, 2025)

Cooling Matters: Benchmarking Large Language Models and Vision-Language Models on Liquid-Cooled Versus Air-Cooled H100 GPU Systems. - Imran Latif; Muhammad Ali Shafique; Hayat Ullah; Alex C. Newkirk; Xi Yu; Arslan Munir (CoRR, 2025)