Amazon Bedrock is an AWS service designed to help you build and run generative AI applications and agents on the cloud. It brings together: - Access to leading foundation models (FMs) - Services to deploy and operate AI agents - Tools for fine-tuning, safeguarding, and optimizing models - Knowledge bases that connect your applications to your most recent data Because these capabilities are available in one place on AWS, teams can move more smoothly from early experimentation and prototyping into real-world production deployments, without having to stitch together multiple tools and platforms on their own.

Amazon Bedrock is set up to support the full lifecycle of a generative AI project, from first idea to production rollout: - **Experimentation:** You can quickly try different foundation models and approaches without managing underlying infrastructure. - **Customization:** Built-in tools let you fine-tune models and connect them to knowledge bases so they can use your latest business data. - **Operations:** Services for deploying and operating agents help you manage applications in production, including monitoring and optimization. - **Safeguarding:** Guardrails and controls are available to help you manage safety, security, and responsible use of generative AI. All of this runs on AWS, which provides global cloud infrastructure with a focus on security, reliability, and performance, so your prototypes can scale into production workloads on the same platform.

Amazon Bedrock is part of the broader AWS cloud platform, which is designed to help customers build a wide range of applications. When you use Bedrock, you can also tap into: - **AWS global cloud infrastructure** for running your AI workloads with managed security, reliability, and performance. - **AWS Marketplace** to discover, deploy, and manage third-party software that complements your AI solutions. - **AWS Partner Network** to work with consulting and technology partners who can help you design, implement, and scale generative AI use cases. - **Analyst research and technical resources** (such as AWS reports, the AWS library, and AWS re:Post) to inform your architecture decisions and get answers to technical questions. Together, these services and resources help you reimagine how you build, deploy, and operate generative AI solutions, using Amazon Bedrock as the core service for model access and AI agent capabilities, and the rest of AWS to support integration, operations, and governance.