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Tokenomics at scale: Track and cap Amazon Bedrock spend per IAM principal with CUR 2.0 and AWS Budgets

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Get per-identity Amazon Bedrock cost visibility and enforceable spend limits using only AWS-native features, with no application code for the common case. Attribute spend with IAM principal tags, report with CUR 2.0 or Cost Explorer, and enforce with AWS Budgets actions that apply a Deny policy when a threshold is crossed.

Extracto de la fuente

Generative AI spend is hard to attribute. Before an organization expands AI access, CFOs and CTOs usually want three answers: what do we spend per person or per team, can we cap it, and how much work does it take to get there. In our previous post, Tokenomics at Scale: How Jamf Built Real-Time Spend Enforcement for Amazon Bedrock , we explained a custom enforcement loop built on AWS IAM Identity Center , Amazon Athena over Amazon Bedrock model invocation logs , and AWS Lambda . This approach…

overfeed.news indexa y enlaza. Publicamos un extracto breve; el artículo completo sigue en AWS Machine Learning Blog.

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Tokenomics at scale: Track and cap Amazon Bedrock spend per IAM…