\usepackage{hyperref}

\subsection{CO2 Emission Related to Experiments}

Experiments were conducted using Google Cloud Platform in region europe-west1, which has a carbon efficiency of 0.27 kgCO$_2$eq/kWh. A cumulative of 7 hours of computation was performed on hardware of type A100 PCIe 40/80GB (TDP of 250W).

Total emissions are estimated to be 0.47 kgCO$_2$eq of which 100 percents were directly offset by the cloud provider.
    
%Uncomment if you bought additional offsets:
%XX kg CO2eq were manually offset through \href{link}{Offset Provider}.

Estimations were conducted using the \href{https://mlco2.github.io/impact#compute}{MachineLearning Impact calculator} presented in \cite{lacoste2019quantifying}.

@article{lacoste2019quantifying,
  title={Quantifying the Carbon Emissions of Machine Learning},
  author={Lacoste, Alexandre and Luccioni, Alexandra and Schmidt, Victor and Dandres, Thomas},
  journal={arXiv preprint arXiv:1910.09700},
  year={2019}
}