Architecture · May 12, 2026 · 8 min read
Running Anthropic Claude on Amazon Bedrock at enterprise scale
How we architect high-concurrency Claude inference on AWS — from token economics to multi-tenant isolation.
Amazon Bedrock changes the calculus for enterprise Generative AI. You get Anthropic Claude inside your AWS account, your VPC, and your IAM perimeter — no data leaves the boundary, and provisioned throughput gives you predictable latency under load.
For high-volume workloads we mix on-demand and provisioned throughput. Bursty interactive traffic (copilots, chat) sits on on-demand; heavy batch pipelines (IDP, summarization) run against committed units where the unit economics are dramatically better.
Multi-tenant orchestration is where the architecture earns its keep. Per-tenant quotas, prompt-level cost attribution, and routing across Claude model tiers (Haiku for cheap classification, Sonnet for reasoning, Opus for hard problems) keep cost-per-task in line.
The takeaway: Bedrock is not just an API. It's a posture — security, governance, and scale that an enterprise procurement team will actually sign off on.
