Category: Announcements

Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.

New features enable automatic cost optimization through intelligent storage tiering and simplified table replication across AWS Regions and accounts.

Deploy AI agents with confidence using new quality evaluations and policy controls—enabling precise boundaries on agent actions, continuous quality monitoring, and experience-based learning while maintaining natural conversation flows.

New pricing model helps maintain cost efficiency while providing flexibility with database services and deployment options.

Scale vector storage and querying to new heights with S3 Vectors’ general availability—now supporting up to 1 billion vectors per index, 100ms query latencies, and expanded regional availability, while reducing costs up to 90% compared to specialized databases.

New service acts as an always-on DevOps engineer, helping you respond to incidents, identify root causes, and prevent future issues through systematic analysis of incidents and operational patterns.

Simplify AI experimentation with zero-infrastructure MLflow that launches in minutes, scales automatically, and seamlessly integrates with SageMaker’s model customization and pipeline capabilities.

New fast, cost-effective model supports extended thinking with adjustable reasoning depth, letting you control the balance between speed, intelligence, and cost while building AI applications for everyday workloads.