With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds When I reviewed Amazon SageMaker in 2018, I noted that ...

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 ...

Software supply chain company JFrog Ltd. announced today a new integration with Amazon SageMaker to enable developers and data scientists to collaborate efficiently on building, training and deploying ...

Cloud services are designed to take away a lot of the complexity associated with managing a particular process, whether that’s software or infrastructure. Today, machine learning is quickly gaining ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon today announced half a dozen new features and tools for AWS ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More While much of the limelight and attention in the gen AI world at AWS over ...

MLOps, short for Machine Learning Operations, refers to a set of practices, tools, and techniques that facilitate the deployment, monitoring, and management of machine learning (ML) models in ...

Amazon has announced a new open source project, Neo-AI, which attempts to optimize the performance of machine learning models for a variety of platforms. At re:Invent 2018, AWS added many capabilities ...