Part 2: Amazon Bedrock cost attribution with Amazon Athena and CUDOS
Amazon Bedrock users: here's how to stop guessing at AI costs and start tracking spend by team and project.
Why it matters
Bedrock cost visibility is becoming table-stakes for production AI deployments. This guide walks practitioners through attribution setup using native AWS tools (Athena, CUR 2.0, CUDOS), helping teams avoid surprise bills and optimize spend allocation across AI workloads.
The key facts
9 to knowAmazon Bedrock cost attribution tutorial
CUR 2.0 with IAM principal data setup
Cost tracking by principal, project, and team
Athena + CUDOS dashboard implementation
AWS native cost management for AI services
CUR 2.0 with IAM principal data now queryable
Bedrock spend visualization by principal, project, team
CUDOS dashboard integration for cost tracking
AWS blog — operational guidance, not a product launch
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Learn how to visualize and analyze Amazon Bedrock cost attribution using Amazon Athena and CUDOS dashboards. This post shows how to set up CUR 2.0 with IAM principal data, query Bedrock spend by principal, project, and team, and build dashboards to track AI costs across your organization.