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 ...

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 ...

Amazon Web Services has launched a slew of updates to help customers power their AI workloads. Chief among them was the news that AWS EC2 customers can finally get their hands on Nvidia’s next-gen ...

At last year’s AWS re:Invent conference, Amazon’s cloud computing unit launched SageMaker HyperPod, a platform for building foundation models. It’s no surprise, then, that at this year’s re:Invent, ...

AWS expands its widely adopted machine learning service, combining comprehensive data, analytics, and AI capabilities Collaborate and build faster with Amazon SageMaker Unified Studio Today, hundreds ...

At AWS re:Invent, Amazon Web Services announced four new innovations for Amazon SageMaker AI to help customers get started faster with popular publicly available models, maximize training efficiency, ...

'DeepSeek R1 is the latest foundation model to capture the imagination of the industry,' said AWS CEO Matt Garman. Cloud and AI giant Amazon Web Services has enabled DeepSeek’s newest R1 foundation ...

AWS seeks to boost its AI products' organic growth, while rivals such as Cursor and Windsurf see better grassroots adoption.

At the Amazon Web Services re:Invent conference today, AWS CEO Andy Jassy introduced a fully managed, end-to-end machine learning service — SageMaker. The company says SageMaker will enable developers ...

AWS re:Invent, one the premier events in the cloud industry, serves as a platform for Amazon Web Services (AWS) to introduce new services, capabilities, and enhancements to its extensive portfolio.