Implications of Artificial Intelligence–Related Data Center Electricity Use and Emissions Proceedings of a Workshop (2025) / Chapter Skim
Currently Skimming:

Appendix B: Workshop Agenda
Pages 87-91

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 87...
... will describe how data center energy use has evolved over the past two decades, sometimes rapidly increasing and at other times remaining relatively flat and discuss the drivers of that change. Dr.­ Shehabi will also present findings from the upcoming 2024 Data Center Energy Report to Congress and how the rise of highly specialized hardware and artificial intelligence are changing the data center landscape and creating new oppor tunities for efficiency and decarbonization.
From page 88...
... The following moderated discussion will explore the implications of future use cases on electricity use and computing resource demands. Moderator: Benjamin Lee, University of Pennsylvania, Planning Committee Chair Speakers: • Eric Xing, Carnegie Mellon University • Prakhar Mehrotra, Blackstone 11:10–12:40 Moderated Panel Discussion -- Data Center Infrastructure This session will examine how data center design and opera tions adapt -- and should continue to evolve -- to meet the rising energy demands of artificial intelligence workloads.
From page 89...
... Moderator: Thomas Wilson, Electric Power Research Institute Speakers: • Bruce Tsuchida, Brattle • Costa Samaras, Carnegie Mellon University • Line Roald, University of Wisconsin–Madison • Ravi Jain, Tapestry (Google) 4:00–5:40 Moderated Panel Discussion -- Sustainability Analysis of Data Centers This session will discuss the sustainability impacts of data centers, including their environmental and human dimen sions.
From page 90...
... Moderator: Eric Masanet, University of California, Santa Barbara, Planning Committee Member Speakers: • Cooper Elsworth, Google • Davide D'Ambrosio, International Energy Agency • Julie Bolthouse, Piedmont Environmental Council • Laura Gonzalez Guerrero, Clean Virginia • Sarah Boyd, Aligned Incentives WEDNESDAY, NOVEMBER 13, 2024 9:00–9:05 Welcome and Opening Remarks 9:05–9:35 Keynote Presentation -- Efficiency Through Technology Advancement: Hardware–Software Interactions Modern large language models (LLMs) have generated tremendous value and productivity improvements across almost all areas of human endeavor and, as a result, demand for both training and inference is growing at exponential rates which in turn drives a huge demand for energy.
From page 91...
... Moderator: Prashant Shenoy, University of Massachusetts Amherst, Planning Committee Member Speakers: • Kelly Sanders, University of Southern California • Nate Benforado, Southern Environmental Law Center • Tim Cywinski, Sierra Club • Varun Rai, University of Texas at Austin 1:00–2:00 Closing Remarks This concluding session will take a forward-looking perspec tive on artificial intelligence and data centers. Each planning committee member will discuss their perspective on the chal lenges discussed through the workshop and the role of indus try, academic research, and policy makers in contributing to the solution space.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.