Releases

Amazon introduced a generative-AI model for coordinating robot fleets and improving fulfillment-center travel efficiency.

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

AWS released its most capable first-generation Nova model with a one-million-token context window.

AWS released a unified speech-to-speech foundation model for low-latency conversational applications.

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

Amazon released a browser-use foundation model through the Nova Act research preview.

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.

AWS released its first Nova video-generation model.

AWS released its Nova image-generation and editing model.

AWS released a capable multimodal Nova model for enterprise and agentic workloads.

AWS released a low-cost multimodal Nova model through Amazon Bedrock.

AWS released the text-only low-latency Nova model through Amazon Bedrock.

Amazon released a faster and more memory-efficient zero-shot forecasting model family.

Amazon committed an additional $4 billion to Anthropic, bringing its total investment to $8 billion and naming AWS Anthropic's primary training partner.

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

Amazon hired Covariant's founders and a portion of its team and received a non-exclusive license to its robotic foundation models.

Amazon updated its image model with image conditioning, subject consistency and background-removal capabilities.

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.

Amazon hired Adept cofounder David Luan and members of the team while licensing Adept's agent technology.

Matt Garman succeeded Adam Selipsky as chief executive officer of Amazon Web Services.

Amazon released its second-generation multilingual text embedding model through Bedrock.

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.

Amazon invested an additional $2.75 billion in Anthropic, completing the $4 billion commitment announced in 2023.

Amazon researchers released pretrained Chronos-T5 time-series foundation models and code.

Amazon released a text-to-image generation and editing model through Bedrock.

Amazon released a multimodal embedding model mapping text and images into a shared space.

AWS and NVIDIA expanded their partnership around GPU infrastructure, DGX Cloud, NVIDIA software and future AI supercomputing.

AWS announced its second-generation AI training accelerator with substantially higher performance.

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.

Amazon released Titan Text Express for general text-generation workloads through Bedrock.