310 citations · 641 across the 20 of their papers we have counts for
5 papers · 1 filter
From FLOPs to Footprints: The Resource Cost of Artificial Intelligence
Sophia Falk, Nicholas Kluge Corrêa, Sasha Luccioni +2
As computational demands continue to rise, assessing the environmental footprint of AI requires moving beyond energy and water consumption to include the material demands of specia…
Video Killed the Energy Budget: Characterizing the Latency and Power Regimes of Open Text-to-Video Models
Julien Delavande, Regis Pierrard, Sasha Luccioni
Recent advances in text-to-video (T2V) generation have enabled the creation of high-fidelity, temporally coherent clips from natural language prompts. Yet these systems come with s…
More than Carbon: Cradle-to-Grave environmental impacts of GenAI training on the Nvidia A100 GPU
Sophia Falk, David Ekchajzer, Thibault Pirson +5
The rapid expansion of Artificial Intelligence (AI) has intensified concerns about its environmental sustainability. Current assessments focus on operational carbon emissions using…
Misinformation by Omission: The Need for More Environmental Transparency in AI
Sasha Luccioni, Boris Gamazaychikov, Theo Alves da Costa +1
In recent years, Artificial Intelligence (AI) models have grown in size and complexity, driving greater demand for computational power and natural resources. In parallel to this tr…
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
As large language models (LLMs) scale in size and adoption, their computational and environmental costs continue to rise. Prior benchmarking efforts have primarily focused on laten…