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AWS Bedrock adds granular cost attribution via Athena and CUDOS

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AWS Bedrock adds granular cost attribution via Athena and CUDOS

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Article details a new feature for an existing cloud service (Amazon Bedrock) that enhances cost management capabilities.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, product
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High
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53 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Abhi Shivaditya ·

    Part 2: Amazon Bedrock cost attribution with Amazon Athena and CUDOS

    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 orga…