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The Grid Impact of AI Data Centers: When Markets and Adversaries Shape Workloads

Zaint A. Alexakis, Postdoctoral Research Fellow, Electrical and Computer Engineering
Nov 15, 12:00 - 13:00

B9 R2325

energy stability data centers AI workloads power systems stability

This talk explores how markets and adversaries can shape AI data center workloads, and what that means for grid stability, using market and grid simulations, hardware experiments, and real-time validation.

Exploring FPGAs for Virtualized In-Network Acceleration

Dr. Suhaib Fahmy, Associate Professor, Computer Engineering, University of Warwick, UK

Sep 24, 12:00 - 13:00

B2 B3 A0215

FPGA data centers streaming applications accelerators big data cloud computing

Abstract With increasing connectivity and reliance on machine intelligence to process ever-growing amounts of data, the question of how to arrange the required connectivity and computation arises. Traditional cloud computing approaches that centralize compute capability in a data center do not scale well to large scale distributed data sources that must then transmit data over constrained networks. Similarly, computing at the very edge of the network is often constrained by limited computational capacity and a lack of access to shared data. In-network computing has been proposed as a way of

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