NADIKI highlights the environmental impact of AI

NADIKI highlights the environmental impact of AI

Datacenter Insider reports on the completion of the NADIKI research project: The platform allows real-time measurement of the environmental impact of AI applications and is available as open-source software.

Datacenter Insider reports on the completion of the NADIKI research project. Max Schulze, project leader and co-founder of IDED (formerly SDIA), takes stock: The platform, developed in collaboration with the Institute for Energy Economics and the Rational Use of Energy (IER) at the University of Stuttgart, enables real-time measurement of the energy, resources, and emissions consumption of AI applications for the first time and is available to data centers and AI providers as open-source software.

With Nadiki, the team has built a platform that consolidates consumption and environmental impacts across the entire digital infrastructure. The platform is now available as open-source software for data centers and AI providers.

Here is the article on Datacenter Insider.

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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.

Research
NADIKI - Sustainability Indicators for AI

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.