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.
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Setting a new standard for sustainable AI
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