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.

Duration

Duration

June 1, 2023

June 1, 2023

November 30, 2025

November 30, 2025

Total Funding

Total Funding

€884,394.00

€884,394.00

Partners

Setting a new standard for sustainable AI

75M €

Projected annual savings from optimized usage

75M €

Projected annual savings from optimized usage

75M €

Projected annual savings from optimized usage

30%

Reduction in overall environmental impact

30%

Reduction in overall environmental impact

30%

Reduction in overall environmental impact

Trusted by our funding bodies