Within the NADIKI Project, we are integrating Environmental Impact Indicators from the Life Cycle Assessment Methodology into Kubernetes. This empowers workloads, like AI training workflows and inference, to assess their operational impact and allows detailed reporting. Using this data, we evaluate the feasibility of an environmental product declaration for an AI model.
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our partners
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The team behind the project
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Publications
Enhance regional AI competitiveness through an AI computing power exchange
Analysis
Digital Infrastructure
Germany
NADIKI: Real-time measurement of AI energy consumption and CO₂ emissions
Research
Artificial Intelligence
Germany
Project Update
NADIKI highlights the environmental impact of AI
KoloDC connects two more data centers to the NADIKI Registrar
KoloDC connects the data center in Apeldoorn to the NADIKI Registrar
NADIKI provides real data center information for research for the first time
NADIKI: KoloDC delivers measurement data to the registrar for the first time
University of Stuttgart tests Databox connection to the NADIKI Registrar in the lab
Open Data Hub: Open data platform for sustainable digital infrastructure
Profile
Period
–
Budget
€884.394,00
Category
Artificial Intelligence
Status
Completed
Funding Identifier
67KI32001A
Sponsor
Future - Environment - Society gGmbH
Project Website
External Profile
