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 ...

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 ...

Amazon SageMaker Autopilot also gives developers a range of up to 50 different models that can be inspected in Amazon SageMaker Studio, so developers can choose the best model for their use case and ...

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds When I reviewed Amazon SageMaker in 2018, I noted that ...

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 ...

It takes massive amounts of data to train AI models. But sometimes, that data simply isn’t available from real-world sources, so data scientists use synthetic data to make up for that. In machine ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon just unveiled Serverless Inference, a new option for SageMaker, ...

'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 ...

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 ...