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GitHub topics: moving-between-clouds

jhparkland/Carbon-friendly

About The process involves measuring the carbon emissions generated from deep learning training. If a server's training process produces high carbon emissions, we transfer the workload to servers with lower carbon emissions. Ultimately, this method aims to achieve a carbon net-zero state.

Language: Python - Size: 1.34 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1