Post by Vultr

As AI inference workloads grow, disaggregated serving architectures are becoming an increasingly important strategy for maximizing GPU efficiency. But separating prompt processing from token generation creates a new challenge: how should infrastructure allocate resources as demand changes? In a new research paper, Athos Georgiou analyzes NVIDIA Dynamo's disaggregated serving architecture using game theory to quantify the impact of routing and resource-allocation decisions. The paper also introduces a lightweight monitoring approach that dynamically adapts routing behavior as systems approach saturation, reducing worst-case response times by up to 7.6x on NVIDIA HGX™ B200 infrastructure. https://lnkd.in/eFiAR534