title: Training Multiple Models in Google Colab
body: <p>I am building an ensemble of models and need to do hyperparameter selection on 126 different models ranging from linear models to keras model with each taking 4-18 hours to run.</p>
  
  <p>I plan to do that on google colab as i do not have enough computing resources. 
  Should i open 126 google accounts and train all of the models in parallel using 126 colab CPUs / GPUs. Or should i open 126 colab notebooks on the same account and run the models there. Will the 126 notebooks share the same resources or will each notebook have access to separate CPUs.</p>