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 ...

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 ...

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 ...

'DeepSeek R1 is the latest foundation model to capture the imagination of the industry,' said AWS CEO Matt Garman. Cloud and AI giant Amazon Web Services has enabled DeepSeek’s newest R1 foundation ...

AWS SageMaker is a fully managed service provided by Amazon Web Services (AWS) that allows developers and data scientists to build, train, and deploy machine learning models at scale. It’s designed to ...

Amazon SageMaker Role Manager makes it easier for administrators to control access and define permissions for improved machine learning governance Amazon SageMaker Model Cards make it easier to ...

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, AWS CEO Andy Jassy today announced the launch of SageMaker Studio, a web-based IDE for building and training machine learning workflows. It includes everything a data ...

Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to ...

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 ...