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Daehyeok Kim

Daehyeok Kim Wins National Research Award for Advancing Cloud Hardware Efficiency

A professional portrait of Daehyeok Kim, smiling and wearing glasses and a light-colored blazer. Bold text on the left reads "National Research Award for Advancing Cloud Hardware Efficiency" against a blurred cityscape background. His name appears on the right side in white text.

07/23/2025 - Daehyeok Kim, an assistant professor in the Department of Computer Science at The University of Texas at Austin, has received a 2025 National Science Foundation (NSF) CAREER Award for his project “Toward Programmable NICs as Multi‑Tenant Cloud Resources.” The award provides $622,738 over five years to su

Keeping Up with AI’s Increasingly Complex Networking Demands

Daehyeok Kim, Aditya Akella, and Venkat Arun against an abstract background of shapes.

09/24/2024 - The job of building computer networks that train and run large AI models is becoming increasingly complicated because traditional network designs can’t operate at the higher speeds that the AI workloads require and need to be tuned to a variety of communication endpoints (such as CPUs, graphics processing units and AI accelerators) that have widely different characteristics, including data generation speeds. Moreover, AI workloads require advanced network monitoring capabilities to quickly diagnose and resolve performance bottlenecks.