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PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

16 December 2023
Yixin Song
Zeyu Mi
Haotong Xie
Haibo Chen
    BDL
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Papers citing "PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU"

20 / 20 papers shown
Title
RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference
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
22
0
0
05 May 2025
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
Zhenyu (Allen) Zhang
Zechun Liu
Yuandong Tian
Harshit Khaitan
Z. Wang
Steven Li
49
0
0
28 Apr 2025
Taming the Titans: A Survey of Efficient LLM Inference Serving
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
GenTorrent: Scaling Large Language Model Serving with An Overley Network
GenTorrent: Scaling Large Language Model Serving with An Overley Network
Fei Fang
Yifan Hua
Shengze Wang
Ruilin Zhou
Y. Liu
Chen Qian
X. Zhang
39
0
0
27 Apr 2025
D$^{2}$MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving
D2^{2}2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving
Haodong Wang
Qihua Zhou
Zicong Hong
Song Guo
MoE
42
0
0
17 Apr 2025
PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing
PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing
Cheng Deng
Luoyang Sun
Jiwen Jiang
Yongcheng Zeng
Xinjian Wu
...
Haoyang Li
Lei Chen
Lionel M. Ni
H. Zhang
Jun Wang
58
0
0
15 Mar 2025
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Wenjie Qu
Yuguang Zhou
Yongji Wu
Tingsong Xiao
Binhang Yuan
Y. Li
Jiaheng Zhang
60
0
0
12 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
68
0
0
09 Mar 2025
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Qi Le
Enmao Diao
Ziyan Wang
Xinran Wang
Jie Ding
Li Yang
Ali Anwar
57
1
0
24 Feb 2025
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking
Marco Federici
Davide Belli
M. V. Baalen
Amir Jalalirad
Andrii Skliar
Bence Major
Markus Nagel
Paul N. Whatmough
71
0
0
02 Dec 2024
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
Yuqi Luo
Chenyang Song
Xu Han
Y. Chen
Chaojun Xiao
Zhiyuan Liu
Maosong Sun
39
3
0
04 Nov 2024
ProMoE: Fast MoE-based LLM Serving using Proactive Caching
ProMoE: Fast MoE-based LLM Serving using Proactive Caching
Xiaoniu Song
Zihang Zhong
Rong Chen
Haibo Chen
MoE
29
4
0
29 Oct 2024
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective
Jinhao Li
Jiaming Xu
Shan Huang
Yonghua Chen
Wen Li
...
Jiayi Pan
Li Ding
Hao Zhou
Yu Wang
Guohao Dai
36
13
0
06 Oct 2024
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
Linke Song
Zixuan Pang
Wenhao Wang
Zihao Wang
XiaoFeng Wang
Hongbo Chen
Wei Song
Yier Jin
Dan Meng
Rui Hou
21
6
0
30 Sep 2024
Small Language Models: Survey, Measurements, and Insights
Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu
Xiang Li
Dongqi Cai
Rongjie Yi
Fangming Liu
Xiwen Zhang
Nicholas D. Lane
Mengwei Xu
ObjD
LRM
37
31
0
24 Sep 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
27
37
0
09 Jul 2024
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Keisuke Kamahori
Tian Tang
Yile Gu
Kan Zhu
Baris Kasikci
54
17
0
10 Feb 2024
Break the Sequential Dependency of LLM Inference Using Lookahead
  Decoding
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Yichao Fu
Peter Bailis
Ion Stoica
Hao Zhang
115
134
0
03 Feb 2024
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language
  Models
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Iman Mirzadeh
Keivan Alizadeh-Vahid
Sachin Mehta
C. C. D. Mundo
Oncel Tuzel
Golnoosh Samei
Mohammad Rastegari
Mehrdad Farajtabar
118
58
0
06 Oct 2023
FlexGen: High-Throughput Generative Inference of Large Language Models
  with a Single GPU
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
135
208
0
13 Mar 2023
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