Amazon Bedrock is a fully managed service that provides secure, enterprise-grade access to high-performing foundation models from leading AI companies, enabling you to build and scale generative AI applications. Amazon Bedrock now supports cost allocation by AWS Identity and Access Management (IAM) principal, including IAM users and roles, for model inference requests made through the bedrock-mantle endpoint. This extends the capability previously available for the bedrock-runtime endpoint, helping customers attribute inference costs across users, teams, projects, and applications.
Customers can tag IAM users and roles with attributes such as team, project, or cost center, activate them as cost allocation tags, and analyze bedrock-mantle inference costs by those tags in AWS Cost Explorer or at the line-item level in AWS Cost and Usage Report 2.0 (CUR 2.0). To get started, activate your IAM principal tags in the AWS Billing and Cost Management console. Then filter or group costs by those tags in Cost Explorer, or create a CUR 2.0 data export and select Include caller identity (IAM principal) allocation data.
This feature is available in all AWS Regions where the bedrock-mantle endpoint is available. To learn more, see Using IAM principal for cost allocation and IAM principal attribution in Amazon Bedrock.
Amazon Bedrock is a fully managed service that provides secure, enterprise-grade access to high-performing foundation models from leading AI companies, enabling you to build and scale generative AI applications. Amazon Bedrock now supports cost allocation by AWS Identity and Access Management (IAM) principal, including IAM users and roles, for model inference requests made through the bedrock-mantle endpoint. This extends the capability previously available for the bedrock-runtime endpoint, helping customers attribute inference costs across users, teams, projects, and applications.
Customers can tag IAM users and roles with attributes such as team, project, or cost center, activate them as cost allocation tags, and analyze bedrock-mantle inference costs by those tags in AWS Cost Explorer or at the line-item level in AWS Cost and Usage Report 2.0 (CUR 2.0). To get started, activate your IAM principal tags in the AWS Billing and Cost Management console. Then filter or group costs by those tags in Cost Explorer, or create a CUR 2.0 data export and select Include caller identity (IAM principal) allocation data.
This feature is available in all AWS Regions where the bedrock-mantle endpoint is available. To learn more, see Using IAM principal for cost allocation and IAM principal attribution in Amazon Bedrock.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Amazon Bedrock expands API support and introduces Cross Region Inferencing for OpenAI models | 0 | 7 | 17-08-2026 |
| 2 | AgentCore payments is now generally available in Amazon Bedrock AgentCore | 0 | 5.45 | 18-08-2026 |
| 3 | Amazon Bedrock AgentCore adds memory, policy, and harness in AWS GovCloud (US-West) | 0 | 8.21 | 07-08-2026 |
| 4 | Amazon Bedrock now supports OpenAI models in India | 0 | 5.86 | 18-08-2026 |
| 5 | AgentCore runtime instances are now generally available | 0 | 9.5 | 06-08-2026 |
| 6 | Announcing temporal policies and rate limiting in Amazon Bedrock AgentCore | 0 | 4.9 | 06-08-2026 |
| 7 | Amazon Bedrock now supports SpaceXAI Grok 4.6 | 0 | 9.78 | 19-08-2026 |
| 8 | AWS Identity and Access Management streamlines assignment of IAM roles to workforce users with account access manager | 0 | 2.5 | 10-08-2026 |
| 9 | Daybreak Red and Daybreak Blue from OpenAI are now available to eligible customers on Amazon Bedrock | 0 | 4.76 | 13-08-2026 |
| 10 | How AWS Bedrock is shaping Model Context Protocol | 0 | 12.14 | 22-04-2026 |