Manage AI costs with Amazon Bedrock Projects
Machine Learning Blog
This article explains how to use Amazon Bedrock Projects to manage and attribute AI inference costs to specific workloads for better cost visibility and accountability.
- Amazon Bedrock Projects enable cost attribution at the workload level using resource tags
- Define tagging strategy by application, environment, team, and cost center before creating projects
- Create projects via API with cost allocation tags that flow into billing data
- Associate inference requests with projects by passing project ID in API calls
- Activate cost allocation tags in AWS Billing to enable cost reporting
- View project costs in AWS Cost Explorer grouped by tag dimensions
- Supports up to 1,000 projects per AWS account
- Works with OpenAI-compatible Responses API and Chat Completions API
Amazon Bedrock Projects provide workload-level cost tracking and attribution, enabling organizations to perform chargebacks, investigate cost spikes, and optimize AI spending across teams and applications.
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