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GPU remoting is a promising technique for supporting AI applications.Networking plays a key role in enabling remoting. However, for efficientremoting, the network requirements in terms of latency and bandwidth areunknown. In this paper, we take a GPU-centric approach to derive the minimumlatency and bandwidth requirements for GPU remoting, while ensuring no (orlittle) performance degradation for AI applications. Our study includingtheoretical model demonstrates that, with careful remoting design, unmodifiedAI applications can run on the remoting setup using commodity networkinghardware without any overhead or even with better performance, with low networkdemands.

Characterizing Network Requirements for GPU API Remoting in AI Applications