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2407.04014
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Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems
4 July 2024
Grant Wilkins
Srinivasan Keshav
Richard Mortier
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ArXiv (abs)
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Papers citing
"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems"
10 / 10 papers shown
Title
Mixtral of Experts
Albert Q. Jiang
Alexandre Sablayrolles
Antoine Roux
A. Mensch
Blanche Savary
...
Théophile Gervet
Thibaut Lavril
Thomas Wang
Timothée Lacroix
William El Sayed
MoE
LLMAG
164
1,123
0
08 Jan 2024
Exploding AI Power Use: an Opportunity to Rethink Grid Planning and Management
Liuzixuan Lin
Rajini Wijayawardana
V. Rao
Hai Nguyen
Emmanuel Wedan Gnibga
Andrew A. Chien
37
10
0
20 Nov 2023
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
S. Samsi
Dan Zhao
Joseph McDonald
Baolin Li
Adam Michaleas
Michael Jones
William Bergeron
J. Kepner
Devesh Tiwari
V. Gadepally
76
150
0
04 Oct 2023
Energy-Efficient GPU Clusters Scheduling for Deep Learning
Diandian Gu
Xintong Xie
Gang Huang
Xin Jin
Xuanzhe Liu
GNN
55
7
0
13 Apr 2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
A. Luccioni
S. Viguier
Anne-Laure Ligozat
101
290
0
03 Nov 2022
Treehouse: A Case For Carbon-Aware Datacenter Software
Thomas Anderson
Adam Belay
Mosharaf Chowdhury
Asaf Cidon
Irene Zhang
87
63
0
06 Jan 2022
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
...
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
132
411
0
30 Oct 2021
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
Qi Hu
Peng Sun
Shengen Yan
Yonggang Wen
Tianwei Zhang
3DH
GNN
82
133
0
03 Sep 2021
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
341
682
0
21 Apr 2021
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson
Jie Hu
Joshua Romoff
Emma Brunskill
Dan Jurafsky
Joelle Pineau
94
457
0
31 Jan 2020
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