Amazon Web Services achieves fastest training times for BERT and Mask R-CNN Amazon Web Services

Two of the most popular machine learning models used today are BERT, for natural language processing (NLP), and Mask R-CNN, for image recognition. Over the past several months, AWS has significantly improved the underlying infrastructure, network, machine learning (ML) framework, and model code to achieve the best training time for these two popular state-of-the-art models. Today, we are excited to share the world's fastest model training times to date on the cloud on TensorFlow, MXNet, and PyTorch. You can now use these hardware and software optimizations to train your TensorFlow, MXNet, and PyTorch models with the same speed and efficiency. Model training time directly impacts your ability to iterate and improve on the accuracy of your models quickly.