AWS Bedrock is a fully managed service that provides access to foundation models (FMs) from leading AI companies through a single API — without managing any infrastructure.
What is AWS Bedrock?
Bedrock offers models from Anthropic (Claude), Meta (Llama), Mistral, Amazon (Titan), and others. You pay per token and get enterprise-grade security built in. No GPU provisioning, no model serving infrastructure — just an API call.
Key Use Cases
- Internal chatbots over private company data
- Document summarization and classification
- Code generation and review
- Customer support automation
- RAG (Retrieval-Augmented Generation) pipelines
Getting Started in 4 Steps
1. Enable Bedrock in your AWS console and select your region (us-east-1 recommended) 2. Request model access for the models you need (takes a few minutes) 3. Use the Bedrock API or AWS SDK to invoke models 4. Build Knowledge Bases for RAG workflows using your S3 data
Bedrock vs SageMaker
Bedrock is best when you want managed access to existing foundation models. SageMaker is best when you need to train, fine-tune, or serve your own custom models. Most enterprises use both.
InfraOpex Can Help
We implement end-to-end Bedrock solutions — model selection, Agents, Knowledge Bases, Guardrails, and production deployment. Get in touch for a free consultation.