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Jamf教你如何用AWS工具为Amazon Bedrock构建实时支出控制，解决生成式AI成本治理难题。
Jamf使用IAM客户托管策略、Amazon Athena成本视图和无服务器AWS Lambda循环，为Amazon Bedrock构建了实时、按用户的支出执行系统。该系统在接近实时的情况下应用分层模型限制，不会中断活动会话。随着生成式AI采用规模的扩大，成本治理已成为主要挑战。Jamf的解决方案通过分层模型限制实现近实时支出控制。
原文 · AWS Machine Learning Blog
Tokenomics at scale: How Jamf built real-time spend enforcement for Amazon Bedrock
As generative AI adoption scales, cost governance becomes a top challenge. Learn how Jamf built real-time, per-user spend enforcement for Amazon Bedrock using IAM Customer Managed Policies, an Amazon Athena cost view, and a serverless AWS Lambda loop that applies tiered model limits in near-real-time without disrupting active sessions.
- IT之家08-31 08:40原文