ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.09598
  4. Cited By
How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference
v1v2 (latest)

How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference

14 May 2025
Nidhal Jegham
Marwen Abdelatti
Lassad Elmoubarki
Abdeltawab Hendawi
ArXiv (abs)PDFHTML

Papers citing "How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference"

13 / 13 papers shown
Title
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLMVLMOffRLAI4TSLRM
373
1,967
0
22 Jan 2025
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on
  AI Accelerators
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
Krishna Teja Chitty-Venkata
Siddhisanket Raskar
B. Kale
Farah Ferdaus
Aditya Tanikanti
Ken Raffenetti
Valerie Taylor
M. Emani
V. Vishwanath
131
12
0
31 Oct 2024
SciCode: A Research Coding Benchmark Curated by Scientists
SciCode: A Research Coding Benchmark Curated by Scientists
Minyang Tian
Luyu Gao
Shizhuo Dylan Zhang
Xinan Chen
Cunwei Fan
...
Tianhua Tao
Ofir Press
Jamie Callan
Eliu A. Huerta
Hao Peng
ELM
80
25
0
18 Jul 2024
The Price of Prompting: Profiling Energy Use in Large Language Models
  Inference
The Price of Prompting: Profiling Energy Use in Large Language Models Inference
E. J. Husom
Arda Goknil
Lwin Khin Shar
Sagar Sen
113
8
0
04 Jul 2024
MMLU-Pro: A More Robust and Challenging Multi-Task Language
  Understanding Benchmark
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Yubo Wang
Xueguang Ma
Ge Zhang
Yuansheng Ni
Abhranil Chandra
...
Kai Wang
Alex Zhuang
Rongqi Fan
Xiang Yue
Wenhu Chen
LRMELM
109
461
0
03 Jun 2024
Splitwise: Efficient generative LLM inference using phase splitting
Splitwise: Efficient generative LLM inference using phase splitting
Pratyush Patel
Esha Choukse
Chaojie Zhang
Aashaka Shah
Íñigo Goiri
Saeed Maleki
Ricardo Bianchini
79
234
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
76
187
0
28 Nov 2023
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
David Rein
Betty Li Hou
Asa Cooper Stickland
Jackson Petty
Richard Yuanzhe Pang
Julien Dirani
Julian Michael
Samuel R. Bowman
AI4MHELM
115
728
0
20 Nov 2023
From Words to Watts: Benchmarking the Energy Costs of Large Language
  Model Inference
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
65
150
0
04 Oct 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
AI4MHALM
332
12,044
0
18 Jul 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
178
136
0
06 Apr 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.5K
13,420
0
27 Feb 2023
Carbon Emissions and Large Neural Network Training
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
337
679
0
21 Apr 2021
1