Releases

AWS made OpenAI's GPT-6 Astra generally available through Amazon Bedrock.

AWS expanded GovCloud Bedrock access to Amazon Nova, Anthropic Claude, Meta Llama, NVIDIA Nemotron, OpenAI and xAI Grok model families.

AWS added restricted access to OpenAI Daybreak Red and Daybreak Blue cybersecurity models.

AWS made OpenAI GPT-5.6 Sol, Terra and Luna generally available through Amazon Bedrock.

AWS introduced an AI-native security service for discovering, validating, prioritizing and remediating code vulnerabilities.

AWS introduced a governed knowledge graph for giving agents shared context across enterprise data.

AWS added continuously running autonomous agents, an activity feed and cross-source enterprise insight retrieval to Amazon Quick.

AWS launched a managed web-search tool that grounds agents in current cited information without customer-data egress.

AWS introduced fully managed enterprise retrieval capabilities that abstract RAG ingestion, indexing and retrieval infrastructure.

AWS expanded Quick with a desktop application, Free and Plus plans, visual-asset generation and new integrations.

AWS announced a managed OpenAI-powered agent runtime integrated with Bedrock and AWS controls.

AWS made automated response-quality, safety, task-completion and tool-use evaluation generally available.

AWS made centralized policy controls for agent-tool interactions generally available.

AWS announced policy controls and automated evaluations for production AI agents.

AWS expanded Amazon Connect with production agentic AI for customer-service interactions.

AWS introduced a frontier agent for investigating and resolving cloud operational incidents.

AWS launched 3nm Trainium3-powered EC2 UltraServers for model training and inference.

AWS launched a service for organizations to create customized frontier models using Nova checkpoints and training infrastructure.

AWS expanded Transform to modernize application, database and user-interface layers of Windows workloads.

AWS made the managed agent platform generally available across nine regions.

AWS launched the conversational agentic teammate at the center of Quick Suite.

AWS launched an agentic workspace combining research, business intelligence and workflow automation.

Amazon introduced real-time visual product recognition and matching in the shopping app.

AWS introduced managed runtime, memory, identity, gateway, observability, browser and code-execution services for AI agents.

AWS introduced an agentic AI development environment centered on specifications and automated hooks.

AWS launched agentic AI services for modernizing .NET, VMware and mainframe workloads.

Amazon unveiled its first fulfillment robot with a sense of touch for handling items in densely packed storage.

Amazon began testing an agentic AI feature that can purchase products from other brands' websites for customers.

Amazon introduced Nova Act, a model and SDK for building agents that reliably complete browser-based user-interface tasks.

Amazon introduced an AI shopping feature that continuously searches for new products matching natural-language interests.

AWS made its unified environment for data, analytics, machine learning and generative AI generally available.

Amazon announced a generative-AI version of Alexa with natural conversation, personalization and agentic task completion.

AWS introduced a marketplace for discovering and deploying specialized models through Bedrock.

AWS announced SageMaker Unified Studio as part of a unified data, analytics and AI development experience.

AWS introduced managed generative-AI extraction of structured insights from multimodal content.

AWS launched Trn2 instances and UltraServers for training and serving large foundation models.

Amazon introduced generative-AI shopping guides that summarize category information and organize product recommendations.

AWS made its generative-AI clinical documentation service generally available.

Amazon broadly launched its generative-AI shopping assistant in the United States after an earlier beta.

AWS introduced a visual workflow builder for generative-AI applications.

AWS introduced prompt creation, versioning, testing and sharing capabilities.

AWS folded Amazon CodeWhisperer into Amazon Q Developer while preserving its coding-assistance capabilities.

AWS made its software-development assistant generally available and incorporated CodeWhisperer capabilities.

AWS made its enterprise generative-AI assistant generally available.

AWS made configurable Bedrock safety controls generally available.

AWS introduced resilient infrastructure for training large foundation models across thousands of accelerators.

AWS announced real-time generative-AI assistance for contact-center agents.

AWS announced configurable safeguards for foundation-model inputs and outputs.

AWS introduced an assistant for developing on AWS, troubleshooting and transforming application code.

AWS announced a new family of generative-AI assistants for work and software development.

AWS introduced an enterprise assistant that answers questions and completes tasks using company data.

AWS introduced automatic and human evaluation workflows for comparing foundation models.

AWS launched a free public playground for building shareable generative-AI applications with Amazon Bedrock.

AWS launched managed retrieval-augmented generation for grounding foundation models in private data.

AWS made Amazon Bedrock generally available with managed access to Amazon and third-party foundation models.

AWS introduced managed agents that orchestrate foundation models, enterprise data and API actions.

AWS introduced a generative-AI service for transcribing clinical conversations and drafting preliminary clinical notes.

AWS launched Inferentia2-powered EC2 instances for large-scale generative-AI inference.

AWS made its generative-AI coding assistant generally available, including a free individual tier and reference tracking.

AWS announced a managed service for building generative-AI applications with foundation models from Amazon and third parties.

Amazon introduced an AI and computer-vision system able to identify and handle individual products.

AWS launched Trainium-powered EC2 instances for high-performance deep-learning training.

AWS introduced its generative-AI coding companion in preview.

Amazon unveiled its first fully autonomous mobile robot for safely operating around employees.

AWS introduced a no-code visual interface for generating machine-learning predictions.

AWS introduced a HIPAA-eligible health data lake using FHIR and machine learning.

AWS introduced tools for bias detection and model explainability.

AWS introduced machine-learning-based anomaly detection for business and operational metrics.

AWS introduced an end-to-end condition-monitoring system using sensors and machine learning.

AWS introduced predictive maintenance from industrial sensor data.

AWS introduced a computer-vision service for visual defect and anomaly detection.

AWS introduced an ML-powered service for detecting abnormal operational behavior and recommending remediation.

AWS introduced pretrained models and solution templates to accelerate machine-learning deployment.

AWS launched automated model building with full visibility into generated models and notebooks.

AWS launched a web-based integrated development environment for machine learning.

AWS introduced managed human-review workflows for machine-learning predictions.

AWS introduced an intelligent enterprise-search service using machine learning and natural-language queries.

AWS introduced ML-powered code review and performance recommendations.

AWS made Inferentia-powered EC2 instances generally available for machine-learning inference.

AWS introduced a generative-AI learning service and musical keyboard.

AWS launched attachable fractional GPU acceleration for EC2 and SageMaker inference workloads.

AWS launched a reinforcement-learning education platform built around an autonomous scale race car.

AWS introduced document AI for extracting text, handwriting, forms and tables.

AWS introduced a managed forecasting service based on technology used in Amazon's retail operations.

AWS introduced a managed service for building individualized recommendations using technology derived from Amazon.com.

AWS introduced a managed data-labeling service combining human annotation with active learning.

AWS launched a HIPAA-eligible NLP service for extracting medical entities and relationships from text.

AWS introduced managed natural-language processing for entity, sentiment, language and topic extraction.

AWS introduced a managed neural machine-translation service.

AWS introduced a managed automatic speech-recognition service.

AWS introduced a programmable deep-learning-enabled video camera for edge computer-vision development.

AWS launched an end-to-end managed platform for building, training and deploying machine-learning models.

Amazon unveiled a checkout-free store using computer vision, sensor fusion and deep learning.

AWS introduced a managed text-to-speech service with natural-sounding voices.

AWS introduced the conversational AI service built from the speech recognition and language understanding technology behind Alexa.

AWS introduced managed image analysis for object, scene and face detection.

AWS launched its first managed machine-learning service for building predictive models from data in S3, Redshift and RDS.

Amazon introduced the Alexa voice service with the first Echo smart speaker.

Amazon launched a marketplace for human intelligence tasks that became widely used for labeling and evaluating machine-learning data.