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Wednesday, May 1 • 1:30pm - 2:15pm
Breakout Groups: Adapting to AI

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Adapting to AI: Large language models are expensive. Training Meta’s LLaMA model took 1 million GPU hours and cost over $2.4 million. Training an AI model is energy-consuming: it can expend more electricity than 100 US homes over an entire year, so is running the model. Industry is talking about data lakehouses to control the data faucet; the federal government is standing up NAIRR Pilot in response. The immediacy of the issue suggests that the cloud vs. on-prem decision be revisited. In this breakout we will frame the issue, then open to all manner of related issues: power efficient architectures and compute models, model optimization, risks, hybrid solutions to meet research needs. The objective is to gauge interest in producing consortium endorsed guidance.



Speakers
avatar for Beth Plale

Beth Plale

Executive Director, Pervasive Technology Institute, Pervasive Technology Institute, Indiana University
Beth is the Michael A and Laurie Burns McRobbie Bicentennial Professor of Computer Engineering in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington (IUB).Pervasive Technology Institute at Indiana University is an Indiana University institute advancing innovation in computational science and cyberinfrastructure in areas of artificial intelligence, large scale data, workforce development, and computational infrastructure and software services. Indiana University... Read More →



Wednesday May 1, 2024 1:30pm - 2:15pm CDT
Room 203-205 - Big10 Conference Center 5440 Park Pl, Rosemont, IL 60018