Amazon is reportedly scaling back active development of its Nova Premier, Nova Omni, Reel, and Canvas AI models, according to Business Insider. Resources are shifting to a new Frontier Model Research group led by Pieter Abbeel, with a new foundation model reportedly planned for re:Invent this fall.
Guardoc Health built a multi-stage document processing pipeline on Amazon Nova Pro, Nova Lite, and Titan Text Embeddings to extract and classify medical conditions from clinical PDFs at scale. The company claims a 46 percent reduction in documentation errors, 70 percent fewer audit fines, and over $400K in annual ROI for a single facility.
Amazon Bedrock Managed Knowledge Bases now offers agentic retrieval through a new AgenticRetrieveStream API that decomposes multi-part questions into sub-queries and iterates until it judges evidence sufficient. The managed model costs $4 per 1,000 agentic retrieval calls plus $1 per 1,000 underlying Retrieve API calls.
Amazon Web Services launched Managed Knowledge Base for Bedrock in general availability, offering a fully managed retrieval solution with six native enterprise connectors including SharePoint, Confluence, and Google Drive. The service handles document parsing up to 500 MB for PDFs, 2 GB for audio, and 10 GB for video, with real-time access control list verification at query time.
AWS has released AgentCore, a new platform for hosting and running voice-based AI agents, integrated with Amazon Nova 2 Sonic for real-time speech capabilities. The platform uses the open Model Context Protocol (MCP) to connect agents to backend systems and deploys each conversation in isolated microVMs.
AWS has extended its QA Studio reference solution with test suite functionality and a command-line interface for CI/CD integration. The updates enable parallel execution of regression tests on Amazon ECS Fargate and bring Amazon Nova Act-powered visual testing into automated deployment pipelines.
AWS has released a cloud-deployed UX testing platform built on Amazon Nova Act, a multimodal foundation model that navigates web interfaces through visual understanding rather than hard-coded selectors. The solution processes documentation with Claude 4.5 Sonnet to generate test scenarios, executes parallel testing via ECS, and analyzes results automatically, addressing the scalability limitations of manual testing and maintenance overhead of traditional automation tools.
Amazon SageMaker HyperPod has launched infrastructure updates for enterprise inference workloads. The platform now captures inference data at three points—endpoint, load balancer, and model pod—with configurable sampling and S3 storage. Teams can deploy models directly from Hugging Face Hub without pre-staging weights, with support for gated access across vLLM, TGI, and SGLang runtimes.
Hugging Face and Amazon Web Services have integrated a one-click workflow that takes developers from model discovery on Hugging Face directly into AWS SageMaker Studio. The integration eliminates manual setup steps by automatically provisioning domains with pre-configured IAM permissions and displaying GPU quota availability inline.
AWS has developed Reverse Direct Preference Optimization (rDPO), a novel unlearning technique that reduces over-deflection in Amazon Nova models by up to 53 percentage points. The approach allows organizations to selectively adjust content moderation safeguards while preserving general model capabilities through LoRA adapters.
Amazon Web Services has added three MiniMax models to Amazon Bedrock: M2, M2.1, and M2.5. The newest model, M2.5, uses a mixture-of-experts architecture with 230 billion total parameters and 10 billion active per token, trained specifically for agent-native execution and coding tasks.
AWS has released infrastructure for deploying multi-turn reinforcement learning to train Amazon Nova models on SageMaker HyperPod. The system requires a minimum of 10 ml.p5.48xlarge instances and costs approximately $786-$1,180 per hour when running.
AWS has released an automated pipeline for redacting personally identifiable information in images, using Amazon Nova 2 Lite as an intelligent coordinator. The solution combines Nova's contextual vision reasoning with Meta's SAM 3 model deployed on SageMaker and Amazon Textract to handle complex PII detection scenarios including faces, fingerprints, ID cards, and license plates.
Amazon has added metadata filtering to its AgentCore Memory service for AI agents. In AWS evaluations across 151 questions, the feature improved overall question-answering accuracy from 40% to 64%, with context-dependent questions jumping from 16% to 69% accuracy. The update allows agents to filter memory retrieval by attributes like priority, department, or time range before semantic search runs.
AWS has introduced managed entitlements for Amazon Bedrock, allowing organizations to subscribe to third-party models like Anthropic Claude and Cohere from a central account and distribute access across member accounts without requiring AWS Marketplace permissions. The feature uses AWS License Manager to create grants that share model entitlements with specific accounts or entire organizational units.
AWS released guidance on fine-tuning Amazon Nova Micro and Nova Lite models for automated email data extraction using SageMaker AI. In collaboration with Parcel Perform, the fine-tuned Nova Micro achieved 94.77% extraction accuracy—a 16.6 percentage point improvement—while reducing inference costs by 50% and latency by 30% compared to previous models.
AWS published a technical demonstration showing that pairing Amazon Nova 2 Lite with Anthropic's Claude Sonnet 4.6 reduces document processing costs by approximately two-thirds compared to single-model approaches. The two-stage pipeline processed 336 scanned yearbook pages at $0.0027 per page, producing 3,122 name-to-face associations with 93% scoring at or above 0.95 confidence.
AWS has published a technical implementation guide for automating healthcare claims processing using Amazon Bedrock Data Automation and Amazon Bedrock AgentCore. The pipeline extracts data from CMS-1500 claim forms, validates against AWS HealthLake records, and generates FHIR-compliant claim resources with automated notifications.
Amazon Web Services launched AgentCore Observability for Amazon Bedrock, a debugging tool that provides visibility into AI agent execution through OpenTelemetry traces, CloudWatch metrics, and structured logs. The tool addresses silent failures in production agents including infinite reasoning loops, incorrect tool selection, and plausible but incorrect answers.
AWS published a technical guide for building voice appointment agents using Amazon Nova 2 Sonic, a speech-to-speech model that processes audio natively without separate transcription steps. The tutorial covers authentication, scheduling, and escalation tools running on Amazon Bedrock AgentCore with DynamoDB persistence.