Artificial intelligence (AI) systems, including large language models (LLMs), have driving innovation across industries. However, their growing computational demands contribute significantly to carbon emissions and water usage, particularly in data centers. As AI adoption scales, there is an urgent need to develop reliable, transparent, and actionable methods to measure the carbon and water footprint of these systems.
This competition aims to bring together innovators from around the world to create proof-of-concept solutions that can accurately measure, monitor, and report the environmental impact of AI systems. By advancing the science of AI sustainability, we can empower stakeholders to make informed decisions and develop more efficient, eco-friendly AI technologies.
























