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 ...

Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS ...

Amazon Web Services has launched a slew of updates to help customers power their AI workloads. Chief among them was the news that AWS EC2 customers can finally get their hands on Nvidia’s next-gen ...

Amazon Web Services Inc. today expanded its lineup of artificial intelligence capabilities by introducing an enhanced version of SageMaker, its neural network development platform. Originally ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More While much of the limelight and attention in the gen AI world at AWS over ...

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 ...

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 ...