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 ...
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 ...
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 ...
Amazon Web Services (AWS) is a significant force in the public cloud market. Every year it hosts AWS re:Invent, considered by users and analysts as one of the most important annual technical cloud ...
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 Inc. isn’t stopping at transforming Amazon SageMaker into a unified platform for artificial intelligence development tools. It’s equally determined to make it easier for builders ...
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 ...
LAS VEGAS, Nov. 30, 2023 — At AWS re:Invent, Amazon Web Services, Inc. (AWS) announced five new capabilities within Amazon SageMaker to help accelerate building, training, and deployment of large ...
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