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Sustainable AI: Environmental Implications, Challenges and Opportunities

Sustainable AI: Environmental Implications, Challenges and Opportunities

30 October 2021
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
Kiwan Maeng
Gloria Chang
Fiona Aga Behram
James Huang
Charles Bai
M. Gschwind
Anurag Gupta
Myle Ott
Anastasia Melnikov
Salvatore Candido
David Brooks
Geeta Chauhan
Benjamin C. Lee
Hsien-Hsin S. Lee
Bugra Akyildiz
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
ArXivPDFHTML

Papers citing "Sustainable AI: Environmental Implications, Challenges and Opportunities"

50 / 56 papers shown
Title
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations
Ashmita Sampatsing
Sophie Vos
Emma Beauxis-Aussalet
Justus Bogner
30
0
0
12 May 2025
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection
Filippo Betello
Antonio Purificato
Vittoria Vineis
Gabriele Tolomei
Fabrizio Silvestri
36
0
0
02 May 2025
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
Varatheepan Paramanayakam
Andreas Karatzas
Iraklis Anagnostopoulos
Dimitrios Stamoulis
34
0
0
29 Apr 2025
Green Prompting
Green Prompting
Marta Adamska
Daria Smirnova
Hamid Nasiri
Zhengxin Yu
Peter Garraghan
148
0
0
09 Mar 2025
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
Veda C. Storey
Wei Thoo Yue
J. Leon Zhao
Roman Lukyanenko
43
0
0
25 Feb 2025
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
Ian Schneider
Hui Xu
Stephan Benecke
David Patterson
Keguo Huang
Parthasarathy Ranganathan
Cooper Elsworth
67
2
0
01 Feb 2025
The Unbearable Lightness of Prompting: A Critical Reflection on the Environmental Impact of genAI use in Design Education
M. Lupetti
Elena Cavallin
Dave Murray-Rust
AI4CE
44
1
0
28 Jan 2025
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning
Piotr A. Kowalski
Szymon Kucharczyk
Jacek Mańdziuk
26
0
0
28 Jan 2025
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Jared Fernandez
Luca Wehrstedt
Leonid Shamis
Mostafa Elhoushi
Kalyan Saladi
Yonatan Bisk
Emma Strubell
Jacob Kahn
195
3
0
20 Nov 2024
Self-calibration for Language Model Quantization and Pruning
Self-calibration for Language Model Quantization and Pruning
Miles Williams
G. Chrysostomou
Nikolaos Aletras
MQ
133
0
0
22 Oct 2024
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
Arya Tschand
Arun Tejusve Raghunath Rajan
S. Idgunji
Anirban Ghosh
J. Holleman
...
Rowan Taubitz
Sean Zhan
Scott Wasson
David Kanter
Vijay Janapa Reddi
62
3
0
15 Oct 2024
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
Yejin Lee
Anna Y. Sun
Basil Hosmer
Bilge Acun
Can Balioglu
...
Ram Pasunuru
Scott Yih
Sravya Popuri
Xing Liu
Carole-Jean Wu
52
2
0
30 Sep 2024
Mask in the Mirror: Implicit Sparsification
Mask in the Mirror: Implicit Sparsification
Tom Jacobs
R. Burkholz
45
3
0
19 Aug 2024
CADC: Encoding User-Item Interactions for Compressing Recommendation
  Model Training Data
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
Hossein Entezari Zarch
Abdulla Alshabanah
Chaoyi Jiang
Murali Annavaram
23
1
0
11 Jul 2024
Implementation of Big AI Models for Wireless Networks with Collaborative
  Edge Computing
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
Liekang Zeng
Shengyuan Ye
Xu Chen
Yang Yang
19
11
0
27 Apr 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
Xiaolong Tu
Anik Mallik
Haoxin Wang
Jiang Xie
25
1
0
30 Nov 2023
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Sasha Luccioni
Yacine Jernite
Emma Strubell
42
162
0
28 Nov 2023
Neuromorphic Intermediate Representation: A Unified Instruction Set for
  Interoperable Brain-Inspired Computing
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens Egholm Pedersen
Steven Abreu
Matthias Jobst
Gregor Lenz
Vittorio Fra
...
Gianvito Urgese
Sadasivan Shankar
Terrence C. Stewart
Jason Eshraghian
Sadique Sheik
27
30
0
24 Nov 2023
AI-native Interconnect Framework for Integration of Large Language Model
  Technologies in 6G Systems
AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems
Sasu Tarkoma
Roberto Morabito
Jaakko Sauvola
23
19
0
10 Nov 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
Yupei Du
Albert Gatt
Dong Nguyen
24
1
0
10 Oct 2023
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language
  Models
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Ahmad Faiz
S. Kaneda
Ruhan Wang
Rita Osi
Parteek Sharma
Fan Chen
Lei Jiang
28
56
0
25 Sep 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Dustin Wright
Christian Igel
Gabrielle Samuel
Raghavendra Selvan
29
15
0
05 Sep 2023
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Samuel Horváth
Stefanos Laskaridis
Shashank Rajput
Hongyi Wang
BDL
32
4
0
28 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
93
11,004
0
18 Jul 2023
Vessim: A Testbed for Carbon-Aware Applications and Systems
Vessim: A Testbed for Carbon-Aware Applications and Systems
Philipp Wiesner
Ilja Behnke
Paul Kilian
Marvin Steinke
O. Kao
31
3
0
16 Jun 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Philipp Wiesner
R. Khalili
Dennis Grinwald
Pratik Agrawal
L. Thamsen
O. Kao
24
14
0
24 May 2023
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning
  Inference Service
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service
Baolin Li
S. Samsi
V. Gadepally
Devesh Tiwari
22
27
0
19 Apr 2023
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Pengfei Li
Jianyi Yang
M. A. Islam
Shaolei Ren
81
120
0
06 Apr 2023
Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity,
  and Bias in GeoAI and Spatial Data Science
Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity, and Bias in GeoAI and Spatial Data Science
K. Janowicz
AI4CE
11
13
0
27 Mar 2023
Green Federated Learning
Green Federated Learning
Ashkan Yousefpour
Sheng Guo
Ashish Shenoy
Sayan Ghosh
Pierre Stock
Kiwan Maeng
Schalk-Willem Kruger
Michael G. Rabbat
Carole-Jean Wu
Ilya Mironov
FedML
AI4CE
38
10
0
26 Mar 2023
An Overview on Language Models: Recent Developments and Outlook
An Overview on Language Models: Recent Developments and Outlook
Chengwei Wei
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
20
42
0
10 Mar 2023
FLINT: A Platform for Federated Learning Integration
FLINT: A Platform for Federated Learning Integration
Ewen N. Wang
Ajaykumar Kannan
Yuefeng Liang
Boyi Chen
Mosharaf Chowdhury
33
24
0
24 Feb 2023
Counting Carbon: A Survey of Factors Influencing the Emissions of
  Machine Learning
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
A. Luccioni
Alex Hernandez-Garcia
28
45
0
16 Feb 2023
The Framework Tax: Disparities Between Inference Efficiency in NLP
  Research and Deployment
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment
Jared Fernandez
Jacob Kahn
Clara Na
Yonatan Bisk
Emma Strubell
FedML
28
10
0
13 Feb 2023
Can Persistent Homology provide an efficient alternative for Evaluation
  of Knowledge Graph Completion Methods?
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Johannes Hoffart
Toyotaro Suzumura
Manish Singh
17
3
0
30 Jan 2023
A Green(er) World for A.I
A Green(er) World for A.I
Dan Zhao
Nathan C. Frey
Joseph McDonald
Matthew Hubbell
David Bestor
Michael Jones
Andrew Prout
V. Gadepally
S. Samsi
11
6
0
27 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
45
73
0
11 Jan 2023
A Rubric for Human-like Agents and NeuroAI
A Rubric for Human-like Agents and NeuroAI
Ida Momennejad
55
14
0
08 Dec 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient
  Federated Learning
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
Young Geun Kim
Carole-Jean Wu
FedML
12
5
0
30 Nov 2022
Desiderata for next generation of ML model serving
Desiderata for next generation of ML model serving
Sherif Akoush
Andrei Paleyes
A. V. Looveren
Clive Cox
33
5
0
26 Oct 2022
The Future of Consumer Edge-AI Computing
The Future of Consumer Edge-AI Computing
Stefanos Laskaridis
Stylianos I. Venieris
Alexandros Kouris
Rui Li
Nicholas D. Lane
42
8
0
19 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
28
109
0
31 Aug 2022
Adversarial Text Normalization
Adversarial Text Normalization
Joanna Bitton
Maya Pavlova
Ivan Evtimov
AAML
22
2
0
08 Jun 2022
Towards Climate Awareness in NLP Research
Towards Climate Awareness in NLP Research
Daniel Hershcovich
Nicolas Webersinke
Mathias Kraus
J. Bingler
Markus Leippold
25
32
0
10 May 2022
RecShard: Statistical Feature-Based Memory Optimization for
  Industry-Scale Neural Recommendation
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation
Geet Sethi
Bilge Acun
Niket Agarwal
Christos Kozyrakis
Caroline Trippel
Carole-Jean Wu
47
66
0
25 Jan 2022
Efficient Large Scale Language Modeling with Mixtures of Experts
Efficient Large Scale Language Modeling with Mixtures of Experts
Mikel Artetxe
Shruti Bhosale
Naman Goyal
Todor Mihaylov
Myle Ott
...
Jeff Wang
Luke Zettlemoyer
Mona T. Diab
Zornitsa Kozareva
Ves Stoyanov
MoE
54
188
0
20 Dec 2021
Papaya: Practical, Private, and Scalable Federated Learning
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
107
137
0
08 Nov 2021
Unraveling the Hidden Environmental Impacts of AI Solutions for
  Environment
Unraveling the Hidden Environmental Impacts of AI Solutions for Environment
Anne-Laure Ligozat
J. Lefèvre
Aurélie Bugeau
Jacques Combaz
11
94
0
22 Oct 2021
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman
Andrew Westbury
Eugene Byrne
Zachary Chavis
Antonino Furnari
...
Mike Zheng Shou
Antonio Torralba
Lorenzo Torresani
Mingfei Yan
Jitendra Malik
EgoV
226
1,018
0
13 Oct 2021
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