News

At re:Invent 2022, the cloud services provider updated its managed machine learning service to include new notebook and governance features.
Amazon Web Services (AWS) unveiled a new machine learning service dubbed SageMaker to make the technology available to everyday developers.
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 ...
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.
I spoke with Bratin Saha, VP and General Manager, Machine Learning Services, AWS, about how the cloud has enabled machine learning, and SageMaker’s ability to ease ML deployment.
Amazon SageMaker Role Manager makes it easier for administrators to control access and define permissions for improved machine learning governance Amazon SageMaker ...
AWS has introduced SageMaker Studio Lab, a free service to help developers learn machine-learning techniques and experiment with the technology. SageMaker Studio Lab provides users with all of the ...
· SageMaker Inference Recommender: Automatically suggests the optimal AWS compute instances for running machine learning inference with the best price-performance.
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.
Amazon SageMaker Canvas provides a visual interface for preparing data and training models, no programming or machine learning expertise required.
Amazon said SageMaker Studio Lab serves as both a free learning environment for students, and also a free test lab for prototyping new machine learning models.
AWS says it can take up to 25,000 GPU-hours to train the RoBERTa natural language processing (NLP) model. Skilled machine learning engineers can cut that time, but not everybody has those skills. AWS ...