The option to reserve instances and GPUs for inference endpoints may help enterprises address scaling bottlenecks for AI ...

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 ...

Amazon Web Services on Wednesday unveiled SageMaker Studio Lab, a free version of Amazon SageMaker -- the AWS service that helps customers build, train and deploy machine learning models. Designed for ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon SageMaker, which got its start five years ago, is among the most ...

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 ...

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 ...

A clearer AI-analytics strategy, AI platform cohesion, more plug-and-play products, and a better vibe for coding need to be ...

At the Amazon Web Services re:Invent conference today, AWS CEO Andy Jassy introduced a fully managed, end-to-end machine learning service — SageMaker. The company says SageMaker will enable developers ...

At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company’s managed service for building, training and deploying machine learning (ML) models. Swami ...

Machine learning has experienced an incredible increase in usage in the past couple of years. In 2017, deploying machine learning models was considered extremely difficult, something only major ...