Amazon Bedrock’s capabilities now generally available within Amazon SageMaker Unified Studio
Amazon Bedrock's capabilities are now generally available within Amazon SageMaker Unified Studio, offering a governed collaborative environment that empowers developers to rapidly create and customize generative AI applications. This intuitive interface caters to developers of all skill levels, providing seamless access to Amazon Bedrock's high-performance foundation models (FMs) and advanced customization tools for collaborative development of tailored generative AI applications.
Amazon Bedrock can be accessed through the AWS Management Console, APIs, or Amazon SageMaker Unified Studio. Its integration in Amazon SageMaker Unified Studio eliminates barriers between data, tools, and developers in the generative AI development process. Teams gain a unified development experience by accessing familiar JupyterLab environments and analytics tools while seamlessly incorporating Amazon Bedrock's powerful generative AI capabilities—all within the same workspace. Developers can harness Retrieval Augmented Generation (RAG) to build Knowledge Bases from proprietary data sources, utilize Agents and Flows for complex task automation, and implement Guardrails for responsible AI development. This consolidated workspace streamlines complexity, enabling faster prototyping, iteration, and deployment of production-ready, responsible generative AI applications that align with specific business requirements.
Amazon Bedrock in SageMaker Unified Studio can now be accessed in all 12 regions where SageMaker Unified Studio is available, including in Europe, South America, Asia Pacific, US East, US West. For more information on supported regions, please refer to the Amazon SageMaker Unified Studio regions guide.
Learn more about Amazon Bedrock's capabilities in Amazon SageMaker Unified Studio by visiting the capability page, and get started by enabling a “Generative AI application development” project profile using this admin guide.