Amazon SageMaker architecture. As shown in the diagram below, SageMaker provides secure, scalable, pre-configured environments for developing, training, evaluating, and hosting machine learning ...

Amazon recently announced that SageMaker Serverless Inference is generally available. Designed for workloads with intermittent or infrequent traffic patterns, the new option provisions and scales comp ...

At re:Invent 2022, the cloud services provider updated its managed machine learning service to include new notebook and governance features.

“SageMaker offerings underscore AWS’ strategy of exposing its advanced, comprehensive capabilities in a governed and unified way, so it is quick to build, test and consume ML and AI workloads.

As AWS CEO Andy Jassy put it while introducing the new service on stage at re:invent, “Amazon SageMaker, an easy way to train, deploy machine learning models for every day developers.” The new ...

Amazon SageMaker Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...

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

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 ...

AWS says it can speed up training by up to 50%. Next, Amazon SageMaker Inference Recommender automates load testing and optimizes model performance across machine learning instances.