AI Meets Sustainability: an initiative for transparent resource consumption
Duration
June 1, 2023
–
November 30, 2025
Content
Total Funding
Within the NADIKI Project, we are brining 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.
Details
Setting a new standard for sustainable AI
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
Projected annual savings from optimized usage
75M €
Reduction in overall environmental impact
30%
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