LAS VEGAS--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced four new innovations for Amazon SageMaker AI to help ...

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 ...

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AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply Amazon SageMaker, a machine learning development ...

Amazon Web Services (AWS) is a significant force in the public cloud market. Every year it hosts AWS re:Invent, considered by users and analysts as one of the most important annual technical cloud ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon just unveiled Serverless Inference, a new option for SageMaker, ...

Amazon Web Services on Wednesday rolled out a series of updates to SageMaker, the AWS service that helps customers build, train and deploy machine learning models. The new capabilities are designed to ...

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, ...