Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes

Amazon SageMaker HyperPod recipes help customers get started with training and fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance.

New Amazon S3 Tables: Storage optimized for analytics workloads

Amazon S3 Tables optimize tabular data storage (like transactions and sensor readings) in Apache Iceberg, enabling high-performance, low-cost queries using Athena, EMR, and Spark.

Introducing queryable object metadata for Amazon S3 buckets (preview)

Unlock S3 data insights effortlessly with AWS’ rich metadata capture; query objects by key, size, tags, and more using Athena, Redshift, and Spark at scale.

Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview)

Enhance conversational AI accuracy with Automated Reasoning checks – first and only gen AI safeguard that helps reduce hallucinations by encoding domain rules into verifiable policies.

Introducing multi-agent collaboration capability for Amazon Bedrock (preview)

With multi-agent collaboration on Amazon Bedrock, developers can build, deploy, and manage multiple specialized agents working together seamlessly to tackle more intricate, multi-step workflows.

Introducing Amazon Nova: Frontier intelligence and industry leading price performance

Amazon Nova foundation models deliver frontier intelligence and industry leading price-performance, with support for text and multimodal intelligence, multimodal fine-tuning, and high-quality images and videos.

Introducing GitLab Duo with Amazon Q

GitLab Duo with Amazon Q streamlines software development across tasks and teams by embedding advanced AI agent capabilities into the GitLab workflows developers already know.

Investigate and remediate operational issues with Amazon Q Developer (in preview)

Amazon Q Developer can now help you investigate and remediate operational issues quickly from anywhere in the AWS Management Console, accelerating the troubleshooting process for operators of all experience levels.

Announcing Amazon Q Developer transformation capabilities for .NET, mainframe, and VMware workloads (preview)

Amazon Q Developer streamlines large-scale transformations using generative AI agents supervised by teams through a unified web experience, accelerating .NET porting, mainframe modernization, and VMware migration.