AWS says it can speed up training by up to 50%. Next, Amazon SageMaker Inference Recommender automates load testing and optimizes model performance across machine learning instances.

At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company’s managed service for building, training and deploying machine learning (ML) models.

Additionally, AWS said that it was adding geospatial capabilities to SageMaker to allow enterprises to increase its use or role in training machine learning models.

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, is releasing Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models.

AWS Trainium is the second machine learning chip by AWS that is purpose-built for training deep learning models and will be available in late 2021.

AI company Hugging Face is linking with cloud-services leader AWS to ease adoption of open-source machine learning models.

After just four months, customers are building more than one million models per month. H2O.ai announced that it has added key new features to Driverless AI based on customer insights and usage.