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 ...

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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 ...

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 ...

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 ...

Nearly three years after it was first launched, Amazon Web Services’ SageMaker platform has gotten a significant upgrade in the form of new features, making it easier for developers to automate and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Bibek Bhattarai details Intel's AMX, ...

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 Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...

LAS VEGAS, December 03, 2024--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the next generation of Amazon SageMaker, ...