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Paper5 AI Environmental Footprint by orbitalnovacreators is a document available to read on EtoBox.

This paper analyzes the significant environmental impact of large-scale AI training, highlighting that energy consumption per training run has doubled approximately every 9 months, with substantial carbon emissions varying by electricity source. It proposes mitigation strategies such as hardware and algorithmic efficiency improvements, carbon-aware workload scheduling, and a mandatory disclosure framework for AI training

Author
orbitalnovacreators
Language
EN