The OECD report discusses the environmental impacts of artificial intelligence compute and applications, highlighting the SDIA Roadmap and its relevance in measuring these effects.

SDIA's event on operationalizing values in Dutch digital infrastructure is scheduled for February 18, 2025, from 1:45 PM to 6:00 PM (GMT+1).

Das KI-Projekt NADIKI an der Universität Stuttgart zielt darauf ab, den Ressourcenverbrauch und CO2-Ausstoß von KI-Anwendungen transparent zu machen, um eine nachhaltige Nutzung zu fördern. Es bietet Schnittstellen und Werkzeuge für eine faktenbasierte Kosten-Nutzen-Analyse und unterstützt ökologische Anforderungen an KI. Das Projekt ist Teil der Initiative „Künstliche Intelligenz für Umwelt und Klima“ und erhält Fördermittel in Höhe von 5,5 Millionen Euro.

The University of Stuttgart's NADIKI project, funded with €5.5 million, aims to enhance the sustainability of AI by providing transparent metrics on energy and resource consumption, enabling better utilization of existing infrastructure and reducing CO2 emissions. The initiative is part of a broader effort to use AI for ecological challenges in Germany.

Prof. Dr.-Ing. Peter Radgen discusses the significant energy savings potential of AI systems, emphasizing the need for awareness of their energy consumption and the development of tools to monitor and improve efficiency. The NADIKI project aims to provide transparency and open-source solutions for optimizing energy use in AI applications.

NADIKI fördert die nachhaltige Nutzung von KI durch transparente Kennzahlen zum Energie- und Ressourcenverbrauch sowie CO2-Emissionen. Das Projekt zielt darauf ab, informierte Entscheidungen zur Ressourcennutzung zu ermöglichen und ökologische Anforderungen an KI zu definieren, während alle Ergebnisse als Open Source bereitgestellt werden.

NADIKI, funded by Germany's AI Lighthouse initiative, aims to measure the environmental impact of AI models on Kubernetes through a three-stage approach, enhancing transparency and enabling informed decisions on resource usage and emissions during AI operations. All software will be open-source, promoting sustainability in AI development.

The NADIKI project aims to address the ecological impact of AI by improving resource efficiency and minimizing the need for new infrastructure, while ensuring transparency in resource consumption and reducing CO2 emissions.

The University of Stuttgart's NADIKI project, funded with €5.5 million, aims to provide transparent metrics on AI's resource consumption and CO2 emissions, promoting sustainable use of digital infrastructure and enabling informed decisions to optimize energy use and reduce environmental impact. All tools will be available as open-source software.

Four AI flagship projects in Baden-Württemberg received €5.5 million in funding, including the NADIKI project at the University of Stuttgart, focusing on environmental indicators for digital infrastructure and AI applications, led by Prof. Peter Radgen and Prof. Marco Aiello.