AWS upgraded its SageMaker platform to offer more observability and streamlined functions to make AI model inference and training easier.

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 ...

With SageMaker Training Compiler, AWS today launched a new feature that can accelerate the training of deep learning models by up to 50% through more efficient use of GPU instances.

The new updates, announced at the annual AWS extravaganza re:Invent, are designed to transform Amazon SageMaker into a more comprehensive, fully integrated platform for artificial intelligence ...

AWS SageMaker Studio is a model training and workflow management tool that collects all the code, notebooks, and project folders for machine learning into one place, ...

At its ongoing re:Invent 2023 conference, AWS unveiled several updates to its SageMaker, Bedrock and database services in order to boost its generative AI offerings.. Taking to the stage on ...

AWS hopes that its new offering, Amazon SageMaker Data Wrangler, is that better way. According to Jassy, the new offering uses machine learning to recognize the type of data that a user has, and ...

AWS launched a new service today, Amazon SageMaker Data Wrangler, that makes it easier for data scientists to prepare their data for machine learning training.In addition, the company is also ...

Amazon Web Services Inc. today augmented its SageMaker artificial intelligence service with new features that will enable developers to automate core aspects of their work.The cloud giant launch ...

AWS releases Amazon SageMaker Operators for Kubernetes AWS has announced the release of Amazon SageMaker Operators for Kubernetes. This new service will make it easy for data scientists to train, ...