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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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 ...

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 ...

Amazon Web Services Inc. today launched Amazon SageMaker HyperPod, a new offering that enables developers to train foundation models across thousands of chips. The offering, which made its debut at ...

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 ...

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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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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 ...