Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

4 March 2024

Papers citing "Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve"

31 / 31 papers shown

Title
SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models Hang Wu Jianian Zhu Y. Li Haojie Wang Biao Hou Jidong Zhai 23 0 0 12 May 2025
Prism: Unleashing GPU Sharing for Cost-Efficient Multi-LLM Serving Shan Yu Jiarong Xing Yifan Qiao Mingyuan Ma Y. Li ... Shiyi Cao Ke Bao Ion Stoica Harry Xu Ying Sheng 24 0 0 06 May 2025
RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference Y. Chen J. Zhang Baotong Lu Qianxi Zhang Chengruidong Zhang ... Chen Chen Mingxing Zhang Yuqing Yang Fan Yang Mao Yang 32 0 0 05 May 2025
Taming the Titans: A Survey of Efficient LLM Inference Serving Ranran Zhen J. Li Yixin Ji Z. Yang Tong Liu Qingrong Xia Xinyu Duan Z. Wang Baoxing Huai M. Zhang LLMAG 77 0 0 28 Apr 2025
Tempo: Application-aware LLM Serving with Mixed SLO Requirements Wei Zhang Zhiyu Wu Yi Mu Banruo Liu Myungjin Lee Fan Lai 51 0 0 24 Apr 2025
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models Yashar Deldjoo Nikhil Mehta M. Sathiamoorthy Shuai Zhang Pablo Castells Julian McAuley EGVM ELM 64 1 0 09 Apr 2025
Mitigating KV Cache Competition to Enhance User Experience in LLM Inference Haiying Shen Tanmoy Sen Masahiro Tanaka 74 0 0 17 Mar 2025
eMoE: Task-aware Memory Efficient Mixture-of-Experts-Based (MoE) Model Inference Suraiya Tairin Shohaib Mahmud Haiying Shen Anand Iyer MoE 58 0 0 10 Mar 2025
Seesaw: High-throughput LLM Inference via Model Re-sharding Qidong Su Wei Zhao X. Li Muralidhar Andoorveedu Chenhao Jiang Zhanda Zhu Kevin Song Christina Giannoula Gennady Pekhimenko LRM 70 0 0 09 Mar 2025
Green Prompting Marta Adamska Daria Smirnova Hamid Nasiri Zhengxin Yu Peter Garraghan 68 0 0 09 Mar 2025
CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory Jiashun Suo Xiaojian Liao Limin Xiao Li Ruan Jinquan Wang Xiao Su Zhisheng Huo 60 0 0 04 Mar 2025
GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous Environments Yanyu Chen Ganhong Huang 98 0 0 28 Jan 2025
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location Ting Sun Penghan Wang Fan Lai 58 1 0 15 Jan 2025
iServe: An Intent-based Serving System for LLMs Dimitrios Liakopoulos Tianrui Hu Prasoon Sinha N. Yadwadkar VLM 66 0 0 08 Jan 2025
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving Zihao Ye Lequn Chen Ruihang Lai Wuwei Lin Yineng Zhang ... Tianqi Chen Baris Kasikci Vinod Grover Arvind Krishnamurthy Luis Ceze 65 19 0 02 Jan 2025
LoL-PIM: Long-Context LLM Decoding with Scalable DRAM-PIM System Hyucksung Kwon Kyungmo Koo Janghyeon Kim W. Lee Minjae Lee ... Yongkee Kwon Ilkon Kim Euicheol Lim John Kim Jungwook Choi 58 4 0 28 Dec 2024
Marconi: Prefix Caching for the Era of Hybrid LLMs Rui Pan Zhuang Wang Zhen Jia Can Karakus Luca Zancato Tri Dao Ravi Netravali Yida Wang 87 4 0 28 Nov 2024
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs Ferdi Kossmann Bruce Fontaine Daya Khudia Michael Cafarella Samuel Madden 54 1 0 23 Oct 2024
Opportunities and Challenges of Generative-AI in Finance Akshar Prabhu Desai Ganesh Satish Mallya Mohammad Luqman Tejasvi Ravi Nithya Kota Pranjul Yadav AIFin 31 2 0 21 Oct 2024
Progressive Mixed-Precision Decoding for Efficient LLM Inference Hao Chen Fuwen Tan Alexandros Kouris Royson Lee Hongxiang Fan Stylianos I. Venieris MQ 21 1 0 17 Oct 2024
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference Yulei Qian Fengcun Li Xiangyang Ji Xiaoyu Zhao Jianchao Tan K. Zhang Xunliang Cai MoE 63 2 0 16 Oct 2024
MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding Jian Chen Vashisth Tiwari Ranajoy Sadhukhan Zhuoming Chen Jinyuan Shi Ian En-Hsu Yen Ian En-Hsu Yen Avner May Tianqi Chen Beidi Chen LRM 31 21 0 20 Aug 2024
Let the Code LLM Edit Itself When You Edit the Code Zhenyu He Jun Zhang Shengjie Luo Jingjing Xu Z. Zhang Di He KELM 29 0 0 03 Jul 2024
Teola: Towards End-to-End Optimization of LLM-based Applications Xin Tan Yimin Jiang Yitao Yang Hong-Yu Xu 54 4 0 29 Jun 2024
Preble: Efficient Distributed Prompt Scheduling for LLM Serving Vikranth Srivatsa Zijian He Reyna Abhyankar Dongming Li Yiying Zhang 40 17 0 08 May 2024
vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention Ramya Prabhu Ajay Nayak Jayashree Mohan R. Ramjee Ashish Panwar VLM 50 24 0 07 May 2024
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning Xupeng Miao Gabriele Oliaro Xinhao Cheng Vineeth Kada Ruohan Gao ... April Yang Yingcheng Wang Mengdi Wu Colin Unger Zhihao Jia MoE 88 8 0 29 Feb 2024
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU Ying Sheng Lianmin Zheng Binhang Yuan Zhuohan Li Max Ryabinin ... Joseph E. Gonzalez Percy Liang Christopher Ré Ion Stoica Ce Zhang 144 365 0 13 Mar 2023
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models Sanjith Athlur Nitika Saran Muthian Sivathanu R. Ramjee Nipun Kwatra GNN 25 62 0 07 Nov 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,791 0 17 Sep 2019