Our initial thoughts for pricing model are to be based on compute and keep as low as possible - we want this to be accessible to as many people as possible and do things like enable local training with Tensorflow.js for free. For cloud API deployment, we will price around the backend compute cost on AWS/GCP for gpu instances plus some margin for us maintaining the distributed setup and scaling of serving a machine learning model.