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 ...

With AWS, LG AI Research transfers terabytes of data to the cloud in less than an hour, shortening model training time from 60 days to one week.

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 ...

“ 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 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 ...

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 and Rice University have introduced Gemini, a new distributed training system to redefine failure recovery in large-scale deep learning models. According to the research paper, Gemini adopts a ...

Hyperpod can reduce the model training time by up to 40 percent, AWS said. AWS also announced a slew of other Sagemaker features across the areas of inference, training and MLOps. 10.

Some of our partners make models available, but we also innovate on the underlying level to reduce the cost of training and running the models.

OpenAI’s new models are available on AWS cloud for Amazon Bedrock and SageMaker AI customers, CEO Matt Garman says.

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