3 papers
cs.AI2026
Characterizing Job Power Elasticity for Power-Flexible AI Training
Philip Colangelo, Charles Dawson, Shayan Sengupta +2
Large language model (LLM) training is among the fastest-growing sources of electricity demand in modern data centers, and power availability is a primary bottleneck to continued A…
cs.DC2026
Power-Flexible AI Data Centers: A New Paradigm for Grid-Responsive Compute
Chris Williams, Philip Colangelo, Ayse Coskun +15
The rapid expansion of artificial intelligence (AI) infrastructure is driving unprecedented growth in electricity demand from data centers. Traditional power-system planning treats…
cs.DC2025
Turning AI Data Centers into Grid-Interactive Assets: Results from a Field Demonstration in Phoenix, Arizona
Philip Colangelo, Ayse K. Coskun, Jack Megrue +12
Artificial intelligence (AI) is fueling exponential electricity demand growth, threatening grid reliability, raising prices for communities paying for new energy infrastructure, an…