Model training and hyperparameter search is an iterative process that can take days, weeks, or even months. Data scientists can spend a significant amount of time training models to achieve the wanted accuracy. Together, IBM Watson Studio Local 2.0.2 and IBM Watson Machine Learning Accelerator 1.2.0 form an enterprise AI platform for accelerating the model training process, combining speed and accuracy to drive value and reduce the model's time to go live to market. Model training is GPU-accelerated and can scale up automatically, which allows for allocations of more GPUs where available. A data scientist can get results faster and reach the accuracy level needed with our enterprise AI platform.