In the works – AWS South America (Chile) Region AWS announces plans to launch a new AWS Region in Chile by the end of 2026 with three Availability Zones, marking the third AWS Region in Latin American alongside existing Regions in São Paulo and Mexico, and bringing AWS infrastructure and services closer to Chile including AI capabilities while supporting data residency requirements.
https://aws.amazon.com/blogs/a....ws/coming-soon-aws-s

How Deutsche Bahn redefines forecasting using Chronos models – Now available on Amazon Bedrock Marketplace Whereas traditional forecasting methods typically rely on statistical modeling, Chronos treats time series data as a language to be modeled and uses a pre-trained FM to generate forecasts — similar to how large language models (LLMs) generate texts. Chronos helps you achieve accurate predictions faster, significantly reducing development time compared to traditional methods. In this post, we share how Deutsche Bahn is redefining forecasting using Chronos models, and provide an example use case to demonstrate how you can get started using Chronos.
https://aws.amazon.com/blogs/m....achine-learning/how-

Accelerate the transfer of data from an Amazon EBS snapshot to a new EBS volume Amazon EBS introduces a new Provisioned Rate for Volume Initialization to accelerate data transfer from EBS snapshots to new EBS volumes by specifying a consistent volume initialization rate, improving workflow efficiency and predictability.
https://aws.amazon.com/blogs/a....ws/accelerate-the-tr

Use custom metrics to evaluate your generative AI application with Amazon Bedrock Now with Amazon Bedrock, you can develop custom evaluation metrics for both model and RAG evaluations. This capability extends the LLM-as-a-judge framework that drives Amazon Bedrock Evaluations. In this post, we demonstrate how to use custom metrics in Amazon Bedrock Evaluations to measure and improve the performance of your generative AI applications according to your specific business requirements and evaluation criteria.
https://aws.amazon.com/blogs/m....achine-learning/use-

Amazon Q Developer in GitHub (in preview) accelerates code generation Amazon Q Developer is now available in preview on GitHub, enabling developers to assign tasks to an AI agent that can develop features, conduct code reviews, enhance security, and migrate Java code, all directly within GitHub issues.
https://aws.amazon.com/blogs/a....ws/amazon-q-develope