AWS Bedrock

What it does

Amazon Bedrock is a fully managed AWS service that gives developers access to a range of foundation models from Anthropic (Claude), Meta (Llama), Mistral AI, Stability AI, and Amazon's own Titan models through a single API. It handles model hosting, scaling, and security so teams can build AI applications without managing infrastructure. Bedrock also supports fine-tuning, retrieval-augmented generation (RAG), and AI agent construction.

Strengths

• Mid-market engineering teams build production AI features on Bedrock to leverage AWS's existing security, compliance, and networking infrastructure.
• Enterprises use Bedrock as their primary AI infrastructure layer - benefiting from private VPC deployment, AWS IAM controls, CloudTrail logging, and HIPAA/SOC compliance.
• Small technical teams on AWS access multiple top foundation models without managing servers or negotiating separate contracts with each AI provider.

Watch-outs

• Deep AWS ecosystem dependency: Bedrock value is maximized through tight integration with IAM, S3, VPC, and other AWS services — organizations on Azure or Google Cloud face additional complexity to achieve comparable security and performance.
• Pricing is complex to forecast: Per-token billing across multiple providers with different rates plus data transfer and inference costs makes cost modeling difficult — unexpected usage patterns can produce budget surprises.
• Not always the latest model versions: Not all Bedrock-hosted models are the most current version available directly from their respective providers — teams requiring the absolute latest capabilities may need to supplement with direct API access.

Pricing

Pay per token - varies by model. {{claude}} 3.5 Sonnet on Bedrock: $3/1M input tokens, $15/1M output tokens. No upfront cost or minimum commitment.