Amazon Web Services Inc.’s popular neural network development platform Amazon SageMaker is getting a major refresh, with a host of new capabilities that will support the integration of faster ...

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. Swami ...

Amazon Web Services on Wednesday announced multiple updates to SageMaker, its end-to-end machine learning service, including a "local mode." Developers can train machine learning models on their local ...

Amazon SageMaker HyperPod reduces time to train foundation models by up to 40% by providing purpose-built infrastructure for distributed training at scale Amazon SageMaker Inference reduces foundation ...

Amazon Web Services unveiled a half-dozen new SageMaker services today at its re:Invent conference in Las Vegas. The cloud giant bolstered its flagship AI development tool with new capabilities for ...

Organizations that are using Amazon SageMaker to build machine learning models got a few new features to play with Tuesday, including options for data preparation, building ML pipelines, and a feature ...

At re:Invent 2022, the cloud services provider updated its managed machine learning service to include new notebook and governance features. Amazon Web Services on Wednesday added new features to its ...

Amazon SageMaker Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More [Editor’s note: This story was updated June 3, 2020. The changes are ...

AWS today announced a new machine learning service, Amazon SageMaker Canvas. Unlike its existing machine learning services, the target audience here isn’t highly technical data scientists and ...