Computing Carbon Footprint of AI Model Training

This video discusses why computing carbon footprint of AI Mdel is important and how we can do that using a super cool tool MLCO2 Calculator.

The Machine Learning Emission calculator -

Other Tools

Othe Papers

Blog from Rob Toews about startups working on climate change

Limiting Power in GPU
• This can be done with the nvidia-smi command. First, enable 'persistence mode' for your GPUs: nvidia-smi -pm 1. Then, you can set the power limit for a specific GPU by using the -pl option, for example: nvidia-smi -i 0 -pl 200 (this limits the power consumption of GPU 0 to 200 Watts).
• The number after parameter -i is the GPU number. Further you can see the current power limit of a GPU by using nvidia-smi -q -d POWER -i 2 -l 1 | grep "Power Limit" and the amount of power being drawn using nvidia-smi -q -d POWER -i 2 -l 1 | grep "Power Draw" (for GPU 2)

Mixed Precsion Training

#CarbonFootprint #ClimateChange #AI for ClimateChange #CarbonEmission #DeepLearning

[ArshdeepSingh-mjuw]

Thanks for sharing the pretty useful information :)

[mnarasimhareddy]

could you please provide code that runs in collab for code carbon which is a great help for my project

[simateimourianmotlagh]

Thanks for sharing an informative video. I tried to use electricity map, but for all of the locations data was not available and the error showed no data available. Could tell me how I can solve it? Thanks