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 ...

Together with Anthropic, AWS is building an EC2 UltraCluster of Trn2 UltraServers, named Project Rainier, which will scale out distributed model training across hundreds of thousands of Trainium2 ...

AWS doubles down on generative AI training - SiliconANGLEAmazon Web Services Inc. is extending its reach further into the domain of artificial intelligence software development with the release ...

Amazon today announced half a dozen new features and tools for AWS SageMaker, a toolkit for training and deploying machine learning models to help developers better manage projects, experiments ...

Incremental training to help with agility The incremental training ability added to Clean Rooms will help enterprises build upon existing model artifacts, AWS said.

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.

Training and inferencing are two distinct phases in the life cycle of AI models that serve different purposes. Training teaches the model to recognize patterns and make predictions based on data.

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

SEATTLE — Oct. 10, 2022 — Amazon Web Services today announced the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS-designed Trainium chips. Trn1 ...

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 ...