mlco2 / mlco2/codecarbon

Computation of carbon emissions

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documentation
Dominant language
Python
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Description

Hello,

I'm an analyst in life cycle assessment, and I list all the tools available to calculate the environmental impact of artificial intelligence/cloud computing.

I have some questions about CodeCarbon (I read the documentation but my skills in programing are rather limited) :

  • Where regional carbon intensity of electricity come from ? Is it from Electricity map ?
  • Is CodeCarbon able to calculate the carbon intensity for each province of Canada (Québec, Ontario, etc) and the United States ?
  • If the computing occurs in a private cloud, is it possible to adapt CodeCarbon with the specifications of the hardware ?
  • Is the tool able to identify if the IA training is distributed over several servers ?

Thanks,

Lucie

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are mentioned. Begin with the existing CodeCarbon documentation and clarify the four questions about regional intensity, geographic coverage, private-cloud hardware, and multi-server training; done means those capabilities and configuration options are documented.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai, cloud
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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