AWS has introduced a new feature for Amazon Bedrock that allows for granular cost attribution, tracing each inference request back to the specific IAM principal that made the call. This enables detailed visibility into spending by user or application, which can be further aggregated using cost allocation tags for teams or projects. The process involves setting up Cost and Usage Report (CUR) 2.0 exports with IAM principal data enabled, then querying this data using Amazon Athena, and finally visualizing it with CUDOS dashboards for analysis and chargeback. AI
IMPACT Enhances cost management for AI workloads on AWS, enabling better financial oversight for developers and organizations using Amazon Bedrock.
RANK_REASON Article details a new feature for an existing cloud service (Amazon Bedrock) that enhances cost management capabilities.
Read on AWS Machine Learning Blog →
- Amazon Athena
- Amazon Bedrock
- Amazon S3
- AWS
- AWS Cost Explorer
- Claude Code
- codex
- Cost and Usage Report (CUR) 2.0
- CUDOS
- IAM
- Kiro CLI
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