Friday, September 4, 2026

AWS published an official update on Designing lifecycle policies for AgentCore memory. The post says long-running AI agents accumulate outdated memories that degrade quality and create compliance risk. AWS is pushing deeper into enterprise deployment and capacity, which can change how teams buy and use AI. The main audience here is infra and operations teams and enterprise buyers.

AWS published an official update on Build a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod. The post says building a Physical AI system takes a continuous pipeline, not a single training job. AWS is pushing deeper into enterprise deployment and capacity, which can change how teams buy and use AI. The main audience here is infra and operations teams, enterprise buyers, and research and model evaluation teams.

AWS published an official update on Run agent-driven Amazon SageMaker HyperPod operations with InstantStart. The post says hyperPod InstantStart is an open source control plane that composes Amazon EKS orchestration with the managed capabilities of Amazon SageMaker HyperPod. AWS is pushing deeper into enterprise deployment and capacity, which can change how teams buy and use AI. The main audience here is infra and operations teams and enterprise buyers.

AWS published an official update on Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract. The post says learn how to customize an Amazon Bedrock knowledge base for large, complex documents by combining the high-accuracy text extraction of Amazon Textract with the generative AI of Amazon Bedrock. AWS is pushing deeper into enterprise deployment and capacity, which can change how teams buy and use AI. The main audience here is infra and operations teams and enterprise buyers.

AWS published an official update on How Intuit built an agentic disaster recovery assistant with Amazon Bedrock. The post says disaster recovery at scale is hard. AWS is pushing deeper into enterprise deployment and capacity, which can change how teams buy and use AI. The main audience here is product and developer teams, infra and operations teams, enterprise buyers, and policy, legal, and risk teams.