It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS ...

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 ...

Amazon Web Services Inc. today expanded its lineup of artificial intelligence capabilities by introducing an enhanced version of SageMaker, its neural network development platform. Originally ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Updated 2/14/21 at 9:14pm PST The data tooling and infrastructure space ...

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 ...

AWS SageMaker is a fully managed service provided by Amazon Web Services (AWS) that allows developers and data scientists to build, train, and deploy machine learning models at scale. It’s designed to ...

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 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 ...

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 Wednesday, ...