NADIKI
AI Meets Sustainability: an initiative for transparent resource consumption
Within the NADIKI Project, we are bringing the Environmental Impact Indicators from the Life Cycle Assessment Methodology into Kubernetes. This enables Workloads, such as AI Training Workflows & Inference, to determine their operational impact and allow granular reporting. Using this data, we evaluate if an environmental product declaration for an AI model is possible.

Partners


Setting a new standard for sustainable AI
75M €
Projected annual savings from optimized usage
30%
Reduction in overall environmental impact
Trusted by our funding bodies


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