AWS News Blog
Category: Featured
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.
Introducing Amazon Nova foundation models: 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 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.
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.
Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview)
Easily transfer knowledge from a large, complex model to a smaller one.
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.
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.
Amazon EC2 Trn2 Instances and Trn2 UltraServers for AI/ML training and inference are now available
With 4x faster speed, 4x more memory bandwidth, 3x higher memory capacity than predecessors, and 30% higher floating-point operations, these instances deliver unprecedented compute power for ML training and gen AI.