Amazon said the AWS AI & ML Scholarship will provide no-cost access to dozens of hours of free machine learning model training and educational materials.

AWS and NVIDIA Collaborate on Next-Generation Infrastructure for Training Large Machine Learning Models and Building Generative AI Applications ...

Amazon's SageMaker for machine learning got a series of upgrades today including AutoML and services to help with experiments, debugging, and notebooks.

How AWS created Inferentia and Trainium for powerful and cost-effective machine learning.

The SageMaker iterations came barely three months after AWS rolled out a local mode feature for model training on notebook computers and integrated open-source deep learning tools into the platform.

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.

Additionally, AWS said that it was adding geospatial capabilities to SageMaker to allow enterprises to increase its use or role in training machine learning models.

At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company’s managed service for building, training and deploying machine learning (ML) models ...

The program uses AWS DeepRacer and the new AWS DeepRacer Student League to teach students foundational machine learning concepts by giving them hands-on experience training machine learning models ...

These training Ultra clusters are powered by a powerful machine learning supercomputer for rapidly training the most complex, deep learning models with trillions of parameters,” Selipsky said.