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Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert
  (MoE) Inference

Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

10 March 2023
Haiyang Huang
Newsha Ardalani
Anna Y. Sun
Liu Ke
Hsien-Hsin S. Lee
Anjali Sridhar
Shruti Bhosale
Carole-Jean Wu
Benjamin C. Lee
    MoE
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Papers citing "Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference"

11 / 11 papers shown
Title
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
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
82
1
0
10 Mar 2025
Speculative MoE: Communication Efficient Parallel MoE Inference with Speculative Token and Expert Pre-scheduling
Speculative MoE: Communication Efficient Parallel MoE Inference with Speculative Token and Expert Pre-scheduling
Yan Li
Pengfei Zheng
Shuang Chen
Zewei Xu
Yuanhao Lai
Yunfei Du
Z. Wang
MoE
57
0
0
06 Mar 2025
CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory
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
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Wei Huang
Yue Liao
Jianhui Liu
Ruifei He
Haoru Tan
Shiming Zhang
Hongsheng Li
Si Liu
Xiaojuan Qi
MoE
36
3
0
08 Oct 2024
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with
  Tunable Memory Budget
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget
Rui Kong
Yuanchun Li
Qingtian Feng
Weijun Wang
Xiaozhou Ye
Ye Ouyang
L. Kong
Yunxin Liu
MoE
11
8
0
29 Aug 2023
Tutel: Adaptive Mixture-of-Experts at Scale
Tutel: Adaptive Mixture-of-Experts at Scale
Changho Hwang
Wei Cui
Yifan Xiong
Ziyue Yang
Ze Liu
...
Joe Chau
Peng Cheng
Fan Yang
Mao Yang
Y. Xiong
MoE
92
107
0
07 Jun 2022
Beyond Distillation: Task-level Mixture-of-Experts for Efficient
  Inference
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Sneha Kudugunta
Yanping Huang
Ankur Bapna
M. Krikun
Dmitry Lepikhin
Minh-Thang Luong
Orhan Firat
MoE
119
104
0
24 Sep 2021
Scalable and Efficient MoE Training for Multitask Multilingual Models
Scalable and Efficient MoE Training for Multitask Multilingual Models
Young Jin Kim
A. A. Awan
Alexandre Muzio
Andres Felipe Cruz Salinas
Liyang Lu
Amr Hendy
Samyam Rajbhandari
Yuxiong He
Hany Awadalla
MoE
88
82
0
22 Sep 2021
ZeRO-Offload: Democratizing Billion-Scale Model Training
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren
Samyam Rajbhandari
Reza Yazdani Aminabadi
Olatunji Ruwase
Shuangyang Yang
Minjia Zhang
Dong Li
Yuxiong He
MoE
157
399
0
18 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
245
1,977
0
31 Dec 2020
1