SageMaker has long been AWS’ fully managed platform for building, training, and deploying machine learning and generative AI models. Over time, however, an ecosystem of applications has sprung up ...

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 ...

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 ...

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 ...

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 on Tuesday announced SageMaker Studio, a fully-integrated development environment for machine learning. A web-based IDE, SageMaker Studio allows you to store and collect all things ...