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"In this notebook, we will train our Tensorflow model on a GPU instance and then deploy it into production using the Sagemaker API. " ...

Amazon SageMaker AI is a fully managed machine learning (ML) service for data scientists and developers to build, train and ...

Learn More Today at its annual huge conference re:Invent 2024, Amazon Web Services (AWS) announced the next generation of its cloud-based machine learning (ML) development platform SageMaker ...

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 ...

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 ...

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 ...

Three new Amazon SageMaker HyperPod capabilities, and the addition of popular AI applications from AWS Partners directly in SageMaker, help customers remove undifferentiated heavy lifting across ...

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 ...

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 ...