aws / aws/amazon-sagemaker-feedback
Cross account image access support for Sagemaker AI Inference Serverless
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- 10
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Description
### Product Version
- [ ] Amazon SageMaker Studio Classic
- [ ] Amazon SageMaker Studio
- [x] It is not related to SageMaker Studio
### Product Category
Inference and Endpoints
### Description
When trying to deploy a Sagemaker AI serverless inference endpoint, we received the following error:
```
ClientError: An error occurred (ValidationException) when calling the CreateEndpointConfig operation:
The container image URI is not a prebuilt SageMaker algorithm or deep learning image, or the bring-your-own container image URI does not reside in an Amazon ECR repository within the same AWS account creating the endpoint.
```
Which indicates that the container used for serverless must reside in the same account. Currently, our organization uses multiple accounts and we have our ECR repositories in a single account which can be accessed from a number of our other accounts. This allows us to deploy the same container across the organization without having to store multiple copies of the image in multiple accounts.
### Other Details
Issue also occasionally pops up in stack overflow, for example: https://stackoverflow.com/questions/76227877/sagemaker-serverless-inference-error-bring-your-own-container-image-uri-does-no
Contributor guide
Research direction
No source files, tests, or entry points are named. Start by reviewing the CreateEndpointConfig error and the linked Stack Overflow report to understand the serverless image restriction; done would mean defining and implementing support for deploying an endpoint from an ECR image in another AWS account.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws
- Domain
- cloud
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100