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AWS is launching more capabilities in both Amazon Bedrock and Amazon SageMaker AI to make building custom models easier.

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 ...

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 ...

LAS VEGAS, December 03, 2024--(BUSINESS WIRE)--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the next generation of Amazon SageMaker, ...

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

Amazon Web Services is cutting the price of GPU instances on Sagemaker, its fully managed machine learning service. AWS said customers will see up to 18% in price reductions on all ml.p2 and ml.p3 GPU ...

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

At its re:Invent conference, AWS today announced SageMaker Studio Lab, a free service to help developers learn machine learning techniques and experiment with the technology. Studio Lab provides users ...