Releases

AWS announced policy controls and automated evaluations for production AI agents.

AWS expanded Amazon Connect with production agentic AI for customer-service interactions.

AWS introduced a frontier agent for investigating and resolving cloud operational incidents.

AWS launched 3nm Trainium3-powered EC2 UltraServers for model training and inference.

AWS launched a service for organizations to create customized frontier models using Nova checkpoints and training infrastructure.

AWS released a unified embedding model for text, documents, images, video and audio.

AWS released its second-generation speech-to-speech foundation model.

AWS introduced a unified multimodal reasoning and image-generation model in preview.

AWS introduced its most intelligent Nova 2 model for complex multistep tasks in preview.

AWS released a fast multimodal reasoning model with extended thinking, built-in tools and a one-million-token context window.

AWS expanded Transform to modernize application, database and user-interface layers of Windows workloads.

AWS announced plans to invest up to $50 billion to expand AI and high-performance-computing infrastructure for US government customers.

AWS and OpenAI announced a seven-year strategic infrastructure agreement for OpenAI workloads using EC2 UltraServers and NVIDIA GPUs.

AWS brought online a large Trainium2 compute cluster in Indiana for Anthropic model training.

Amazon announced approximately 14,000 corporate job reductions while restructuring around fewer management layers and increased AI investment.

Amazon released a universal time-series foundation model for univariate, multivariate and covariate-informed forecasting.

AWS made the managed agent platform generally available across nine regions.

AWS launched the conversational agentic teammate at the center of Quick Suite.

AWS launched an agentic workspace combining research, business intelligence and workflow automation.

Amazon introduced real-time visual product recognition and matching in the shopping app.

AWS added OpenAI's gpt-oss-120b and gpt-oss-20b to Amazon Bedrock and SageMaker AI.

AWS introduced managed runtime, memory, identity, gateway, observability, browser and code-execution services for AI agents.

AWS introduced an agentic AI development environment centered on specifications and automated hooks.

AWS open-sourced a model-driven SDK for building AI agents.

AWS launched agentic AI services for modernizing .NET, VMware and mainframe workloads.