6 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
Nalar: An agent serving framework
Marco Laju, Donghyun Son, Saurabh Agarwal +4
LLM-driven agentic applications increasingly automate complex, multi-step tasks, but serving them efficiently remains challenging due to heterogeneous components, dynamic and model…
Software-Defined Agentic Serving
Saurabh Agarwal, Marco Laju, Jayanth Srinivasa +2
As multi-agent LLM pipelines grow in complexity, existing serving paradigms fail to adapt to the dynamic serving conditions. We argue that agentic serving systems should be program…
Dora: QoE-Aware Hybrid Parallelism for Distributed Edge AI
Jianli Jin, Ziyang Lin, Qianli Dong +5
With the proliferation of edge AI applications, satisfying user quality of experience (QoE) requirements, such as model inference latency, has become a first class objective, as th…
Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services
Jiachen Liu, Jae-Won Chung, Zhiyu Wu +3
Large language models (LLMs) are now at the core of conversational AI services such as real-time translation and chatbots, which provide live user interaction by incrementally stre…