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Towards Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers

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dc.contributor.authorDokic, Dusan
dc.contributor.authorStein, Hannah
dc.contributor.authorJanzen, Sabine
dc.contributor.authorMaaß, Wolfgang
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:19Z
dc.date.available2023-11-29T14:50:19Z
dc.date.issued2023
dc.description.abstractThe growing interest in AI services has led to a higher demand for computing power to train and execute complex AI models, causing a surge in power consumption in data centers. Together with rising costs for electricity, gas, petroleum, and coal, and the national target for climate neutrality of data centers by 2027, the ability to operate data centers economically is threatened in Germany. To address these issues, a pressing need to improve the sustainability of data centers and that of artificial intelligence. This paper proposes a roadmap to develop sustainable and resource-efficient data centers and AI systems. The roadmap includes four key building blocks: sustainable data centers, AI algorithms, AI sustainability framework, and economic efficiency analysis. Each building block poses pivotal research questions grounded in contemporary literature to guide the pursuit of environmental sustainability in data centers and AI.en
dc.identifier.doi10.18420/inf2023_134
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43057
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectData Centers
dc.subjectSustainable AI
dc.subjectEnergy-Efficient AI Algorithms
dc.titleTowards Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centersen
dc.typeText/Conference Paper
gi.citation.endPage1265
gi.citation.publisherPlaceBonn
gi.citation.startPage1255
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖkologische Nachhaltigkeit - 11. Workshop Umweltinformatik zwischen Nachhaltigkeit und Wandel (UINW 2023)

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten