Ravi Netravali
Ravi Netravali is an Associate Professor of Computer Science at Princeton University, where he co-leads the Princeton Systems for AI Lab (SAIL). His research focuses on AI systems, improving the performance, accuracy, and resource efficiency of generative workloads across training, post-training, and inference phases. He is known for his work on systems for serving AI workloads, including Kairos, a scalable serving system for physical AI, as well as earlier contributions to neural adaptive video streaming. His research has been recognized with a Sloan Research Fellowship, the SIGCOMM Rising Star Award, and an NSF CAREER Award.
“Yinwei Dai, Ravi Netravali: Researchers behind Kairos, a prior work on scalable serving for physical AI”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.