Generosity AI

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Tools & Initiatives

CodeCarbon

CodeCarbon started in 2020 with a simple question: How can I measure the carbon footprint of my computer program? The team found some global data, like “computing currently represents roughly 0.5% of the world’s energy consumption,” but nothing about the impacts of individual/organization-level impacts and where they stem from. At CodeCarbon, the team believes, as Niels Bohr said, that “Nothing exists until it is measured.” So they found a way to estimate how much carbon they produce while running our code. They did this by creating a Python package that estimates hardware electricity power consumption (GPU + CPU + RAM) and applies it to the carbon intensity of the region where the computing is done to automatically calculate the energy consumption and carbon emissions of any piece of code.


Author
CodeCarbon

Goals
Enhanced decision-making, Improved data accessibility

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