Amazon Expands Nova AI Models to EU and Asia Pacific for Faster, Cheaper AI Processing

Amazon has expanded its Amazon Nova understanding models to the EU and APAC regions, offering advanced AI processing with enhanced cost-efficiency and low latency. AWS customers can use Cross-Region inference profiles to route requests across multiple regions, improving performance without extra charges. The models, including Amazon Nova Micro, Lite, and Pro, support text and multimodal tasks, with integration into Amazon Bedrock for easier customization. These models have been adopted by major partners like SAP, Deloitte, and Palantir for AI-driven automation. Amazon also ensures responsible AI development through built-in safety measures.

Amazon Expands Nova AI Models to EU and Asia Pacific for Faster, Cheaper AI Processing

Amazon has launched regional processing options for its Amazon Nova understanding models in the European Union (EU) and Asia Pacific (APAC) regions, marking a significant expansion for these next-generation foundation models. These models deliver state-of-the-art intelligence for a variety of applications while maintaining superior cost efficiency. AWS customers can now use Cross-Region inference profiles for Amazon Nova models, such as Amazon Nova Lite, Amazon Nova Micro, and Amazon Nova Pro, in EU regions like Stockholm, Frankfurt, Ireland, and Paris, and in APAC regions including Tokyo, Seoul, Mumbai, Singapore, and Sydney. This feature ensures automatic request routing, prioritizing the source region to minimize latency, while avoiding additional routing fees, as costs are determined by the source region.

The models come in various forms, including Amazon Nova Micro, optimized for low-latency text-based responses at minimal cost; Amazon Nova Lite, a multimodal model that processes text, images, and video inputs; and Amazon Nova Pro, a high-performance model offering an optimal balance of accuracy, speed, and cost for diverse tasks. Supporting over 200 languages and offering fine-tuning capabilities for both text and vision, these models integrate seamlessly with proprietary data via Amazon Bedrock.

Amazon Nova models are already enhancing AI capabilities across businesses, with over 1,000 generative AI applications in use at Amazon. These models help address challenges in latency, cost-effectiveness, Retrieval-Augmented Generation (RAG), and agentic AI applications, which involve interacting with multiple systems to complete tasks. The models are also up to 75% more cost-effective than competing models in AWS US regions, providing customers with a fast, seamless experience. Notably, partners such as SAP, Deloitte, Palantir Technologies, Cognigy, and Ativion are already leveraging these models to enhance business automation, decision-making, customer service, and online safety.

Amazon ensures responsible AI use with integrated safety features and transparency through AWS AI Service Cards, outlining best practices and limitations for users.

Amazon is committed to promoting responsible AI development and use, ensuring that its Amazon Nova understanding models are deployed with built-in safety features to minimize risks and maximize benefits. The company has integrated robust safety protocols into the Nova models, offering customers peace of mind regarding the ethical and secure use of AI. As part of this commitment, Amazon introduced the AWS AI Service Cards, which provide users with detailed, transparent information about the models’ capabilities, intended use cases, and potential limitations. These cards serve as an important resource for users to make informed decisions about deploying generative AI in their businesses.

The AWS AI Service Cards outline key considerations for developers and organizations, such as specific ethical guidelines, privacy concerns, and recommendations for avoiding misuse or bias. They highlight the steps taken to ensure the responsible training of models, the processes used to reduce data bias, and the actions in place to mitigate the unintended consequences of AI applications. These cards also emphasize compliance with local regulations and industry standards, ensuring that AI technology remains secure and respectful of data privacy laws globally.

By fostering transparency, Amazon aims to build trust with its customers and the broader community, encouraging organizations to adopt AI in a responsible manner. This approach not only safeguards against potential risks but also promotes innovation by ensuring that AI remains a force for good, driving efficiency and creative possibilities across industries.