Manage multi-tenant Amazon Bedrock costs using application inference profiles
Machine Learning Blog
This article discusses managing multi-tenant Amazon Bedrock costs using application inference profiles, offering a comprehensive solution for tracking and controlling generative AI service expenses.
- Application inference profiles enable granular cost tracking by associating metadata with each inference request
- Solution includes creating CloudWatch dashboards, SNS alerts, and an API Gateway endpoint for cost monitoring
- Provides a GitHub sample solution that demonstrates:
- Tracking usage across multiple tenants
- Creating tenant-specific cost allocation
- Implementing multi-level alerting system
- Key features include:
- Tagging requests with tenant ID, business unit, or application ID
- Creating alarms for token costs, tokens per minute, and requests per minute
The solution helps organizations implement sophisticated cost management for multi-tenant generative AI services, providing visibility and control over resource consumption.
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