AWS managed service providing access to foundation models via APIs
Amazon Bedrock is a managed AWS service that provides API access to foundation models from multiple AI companies.
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Amazon Bedrock is a fully managed service on AWS that provides access to foundation models from leading AI companies through a single API. Users can choose from models developed by Anthropic (Claude), AI21 Labs (Jurassic), Cohere (Command and Embed), Meta (Llama), Mistral AI, and Stability AI (Stable Diffusion), among others.
The service is designed for developers and organizations looking to integrate generative AI capabilities into their applications without managing the underlying infrastructure. Bedrock handles model hosting, scaling, and availability, allowing users to focus on application development rather than operational concerns.
Key capabilities include text generation, conversational AI, text summarization, image generation, and code generation, depending on the selected model. The platform also offers fine-tuning options for certain models, allowing organizations to customize models with their own data while maintaining security and privacy controls.
Bedrock integrates with other AWS services and provides enterprise-grade security features, including data encryption and access controls. The service competes in the managed AI services market alongside offerings from Microsoft Azure OpenAI Service and Google Cloud's Vertex AI, positioning itself as AWS's primary generative AI platform for enterprise customers.
Enables intelligent context retention across sessions for agents, allowing continuity in multi-turn interactions.
Automatically routes prompts to reduce costs by up to 30% while maintaining response quality across AI applications.
Produces distilled models that run up to 500% faster and cost up to 75% less with minimal impact on accuracy compared to base models.
Provides comprehensive monitoring and debugging capabilities to track agent performance and quality in production.
An agentic platform to build, deploy, and operate agents securely at scale using any framework and model without infrastructure management.
Offers flexible options for both real-time and batch inference to balance cost, speed, and accuracy in AI applications.
Provides access to hundreds of foundation models from leading AI companies with evaluation tools to select the best model based on performance and cost needs.
Caches prompt data to reduce expenses and improve performance for AI application inference.
A data customization tool that enables organizations to tailor AI models to their specific business context and data.
Allows customization of AI models with proprietary business data to move from generic AI to domain-specific AI applications.
Blocks up to 88% of harmful content and identifies correct model responses with up to 99% accuracy using Automated Reasoning checks to minimize hallucinations.
Supports compliance standards including ISO, SOC, CSA STAR Level 2, GDPR, FedRAMP High, and HIPAA eligibility, with encryption of data in transit and at rest.
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Common questions answered by our AI research team
Claude 3.5 Sonnet (Public Extended Access) costs $6.00 per 1M input tokens and $30.00 per 1M output tokens. Batch pricing is $3.00/$15.00 per 1M input/output tokens.
Yes, Bedrock is HIPAA eligible, and also meets ISO, SOC, CSA STAR Level 2, GDPR, and FedRAMP High compliance standards.
Yes, fine-tuning is supported. Options include Knowledge Bases, Bedrock Data Automation, prompt engineering, and fine-tuning to customize models with your own data.
Bedrock never stores or uses your data to train models. Data is encrypted in transit and at rest, with identity-based policies for managing data access.
Intelligent Prompt Routing can cut costs by up to 30% while maintaining quality.
Company
Amazon Web Services, Inc.Founded
2006Pricing
Usage-basedFree Trial
Available




Amazon Web Services (AWS) is a Seattle-based cloud computing subsidiary of Amazon; Amazon Bedrock is its managed service for accessing foundation models from multiple providers.