Software supply chain company JFrog Ltd. announced today a new integration with Amazon SageMaker to enable developers and data scientists to collaborate efficiently on building, training and deploying ...

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 ...

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 ...

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 ...

At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker ...

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's Amazon SageMaker software, a set of tools for deploying machine learning, is not only spreading throughout many companies, it is becoming a key tool for some of the more demanding kinds of ...