# Datacenter Energy Optimized Power Profiles

arXiv: https://arxiv.org/abs/2510.03872 · HTML: https://mlsanity.com/paper/2510.03872/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Oct 2025.

## Built on by (most cited first, 1 of 1)

- [Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving](https://mlsanity.com/paper/2609.11133/) (2026)

## Abstract (arXiv)

This paper presents datacenter power profiles, a new NVIDIA software feature released with Blackwell B200, aimed at improving energy efficiency and/or performance. The initial feature provides coarse-grain user control for HPC and AI workloads leveraging hardware and software innovations for intelligent power management and domain knowledge of HPC and AI workloads. The resulting workload-aware optimization recipes maximize computational throughput while operating within strict facility power constraints. The phase-1 Blackwell implementation achieves up to 15% energy savings while maintaining performance levels above 97% for critical applications, enabling an overall throughput increase of up to 13% in a power-constrained facility. KEYWORDS GPU power management, energy efficiency, power profile, HPC optimization, Max-Q, Blackwell architecture