AI.CURE aims to build advanced AI models using the latest hardware for outcome predictions to compress the time needed from diagnosis to treatment for all cancers. Our research aims related to the JSLE are to understand the optimal data preprocessing and model configurations on the latest hardware for both training and generation/inferencing. Our results will guide future deployments of these AI models.