SUSTAINABLE TRAINING OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING MODELS
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United States of America
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Issued Date -
Apr 10, 2025
app pub date -
Oct 4, 2023
filing date -
Oct 4, 2023
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Abstract
Methods are provided for sustainably training artificial intelligent or machine learning models. Specifically, the methods involve obtaining power supply information about at least two computing resource groups. The power supply information relates to one or more power sources that supply power to the at least two computing resource groups. The methods further involve determining, while training an artificial intelligence or machine learning model using a current computing resource group of the at least two computing resource groups, an availability of power provided to the current computing resource group from one or more renewable energy sources, based on the power supply information and migrating the artificial intelligence or machine learning model for training using a different computing resource group than the current computing resource group, based on determining a lack of the availability of power provided to the current computing resource group from the one or more renewable energy sources.
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