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 ...

The new web-based interface for Studio serves as a central point for launching all of SageMaker’s tools allowing machine learning developers to build, train, fine-tune and deploy models.

Additionally, SageMaker Canvas continues to democratize model building and customization by making it easier for customers to use models to extract insights, make predictions, and generate content ...

At last year's AWS re:Invent conference, Amazon's cloud computing unit launched SageMaker HyperPod, a platform for building foundation models. It's no ...

Amazon Web Services (AWS) unveiled a new machine learning service dubbed SageMaker to make the technology available to everyday developers.

While Amazon SageMaker has traditionally focused on the end-to-end machine learning lifecycle, AWS has introduced new services like Amazon Bedrock aimed at building generative AI applications.

AWS has announced the 'next generation' of its SageMaker AI dev platform, including a unified data dashboard.

AWS launches Blackwell-powered instances, boosts SageMaker AI tools Cloud giant debuts its most powerful EC2 instances ever and tools to make it easier for enterprises to build their own AI models ...

The next-generation of AWS SageMaker will make accessing data assets and wide-ranging tools to make the most of them faster than ever.

Another offering that AWS announced to support the integration is the SageMaker Data Lakehouse, aimed at helping enterprises unify data across Amazon S3 data lakes and Amazon Redshift data warehouses.