SageMaker Pipelines (video tutorial, press release). This tool claims to be the “first CI/CD service for machine learning.” It promises to automatically run ML workflows and helps organize ...

At its re:Invent conference today, Amazon's AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and ...

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds ...

Amazon SageMaker architecture As shown in the diagram below, SageMaker provides secure, scalable, pre-configured environments for developing, training, evaluating, and hosting machine learning models.

Three new Amazon SageMaker HyperPod capabilities, and the addition of popular AI applications from AWS Partners directly in SageMaker, help customers remove undifferentiated heavy lifting across ...

AWS has announced the 'next generation' of its SageMaker AI dev platform, including a unified data dashboard.

Amazon SageMaker is a fully managed machine learning service that makes it much easier to build, train machine learning models then deploy them into a production-ready hosted environment. It has ...

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 ...

Amazon Web Services Inc. today launched Amazon SageMaker HyperPod, a new offering that enables developers to train foundation models across thousands of chips. The offering, which made its debut ...

AWS's Amazon SageMaker software, a set of tools for deploying machine learning, is not only spreading throughout many companies, it is becoming a key tool for some of the more demanding kinds of ...