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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.

Reporting by AWS Machine Learning Blog 1 min brief
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The KeyNews take

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 know

  1. Amazon Bedrock cost attribution tutorial

  2. CUR 2.0 with IAM principal data setup

  3. Cost tracking by principal, project, and team

  4. Athena + CUDOS dashboard implementation

  5. AWS native cost management for AI services

  6. CUR 2.0 with IAM principal data now queryable

  7. Bedrock spend visualization by principal, project, team

  8. CUDOS dashboard integration for cost tracking

  9. 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.
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