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 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 ...

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

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 ...

Among innovative demos in the GenAI Zone, one stood out for its advancements in accessibility, writes JASON BANNIER.

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.

The AWS Blog for details on today’s announcements: Automated Reasoning checks, multi-agent collaboration, and Model Distillation. The Amazon Bedrock page to learn more about the capabilities.

The strategic fusion of cloud and AI is helping to reshape what enterprises can achieve. Cloud platforms no longer simply provide cost savings—they're able to deliver the elasticity, scale 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 added Intelligent Prompt Routing and Prompt Caching to Bedrock in hopes of getting model usage prices down.

The AWS Blog for details on today’s announcements: Automated Reasoning checks, multi-agent collaboration, and Model Distillation. The Amazon Bedrock page to learn more about the capabilities.