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 ...
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 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 ...
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Amazon Web Services Inc. isn’t stopping at transforming Amazon SageMaker into a unified platform for artificial intelligence development tools. It’s equally determined to make it easier for builders ...
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, ...
NEW YORK--(BUSINESS WIRE)--Comet, a leader in AI development, today announced a strategic partnership with Amazon Web Services (AWS) to bring its platform to Amazon SageMaker AI’s newly launched ...
TORONTO--(BUSINESS WIRE)--Adastra, a leading global data and analytics company, is excited to announce its role as a launch partner for Amazon SageMaker Unified Studio, a revolutionary new platform ...
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, ...
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Amazon is trying to redefine what “using AI” means, shifting customers from consuming prebuilt models to shaping the systems themselves. Instead of treating frontier AI as a distant, sealed product, ...