At the Johannesburg event, the tech giant showcased the evolution of services from simple model access to customisable, ...

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 Trainium chips will be the preferred processors for training Mosaic AI models on the Databricks platform, the company announced today. The deal represents a blow to Nvidia’s continued AI dominance ...

AWS unveils Blackwell-powered instances for AI training and inference To power customer training and inference workloads, AWS unveiled two new system configurations: the P6-B200 and P6e-GB200 ...

Barclays said the acceleration “assumes the bulk of Anthropic training continues on AWS,” noting that the AI start-up ...

AI Foundational Models are essential for the next generation of technology. AWS just added foundational models and new low cost chips to their offerings at re:invent ...

AWS added Intelligent Prompt Routing and Prompt Caching to Bedrock in hopes of getting model usage prices down.

Amazon shares climbed more than 4% on Thursday, making it one of the S&P 500’s top performers of the day, after artificial intelligence startup Anthropic secured a major funding round. The e-commerce ...

AWS unveiled Trainium3, its next-generation AI training chip. Trainium3 will be the first AWS chip made with a 3-nanometer process node, setting a new standard for performance, power efficiency, and ...

The good news for AWS is that training large language models (LLMs) and other types of foundation models requires very large stores of data and consumes massive amounts of compute.

“ Using AWS, LG AI Research can develop and use EXAONEPath at an unprecedented scale, reducing data processing and model training times and improving accuracy.

AWS’s shared responsibility model in the genAI era Betz emphasizes that recent AI developments have not altered the core principles of the public cloud giant’s shared responsibility model.