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- Remove redundant hasInstanceVariants variable in validation logic
- Add SageMaker Serverless Inference documentation link to README
- Throw error in renderServerlessProductionVariant when undefined
- Add validation in renderInstanceProductionVariants for empty variants
- Add comprehensive API assertions to integration tests
- Update integration test snapshots
Addresses review comments from abidhasan-aws in PR #35557
Amazon SageMaker Serverless Inference is a purpose-built inference option that makes it easy for you to deploy and scale ML models. Serverless endpoints automatically launch compute resources and scale them in and out depending on traffic, eliminating the need to choose instance types or manage scaling policies.
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Amazon SageMaker Serverless Inference is a purpose-built inference option that makes it easy for you to deploy and scale ML models. Serverless endpoints automatically launch compute resources and scale them in and out depending on traffic, eliminating the need to choose instance types or manage scaling policies. For more information, see [SageMaker Serverless Inference](https://docs.aws.amazon.com/sagemaker/latest/dg/serverless-endpoints.html).
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To create a serverless endpoint configuration, use the `serverlessProductionVariant` property:
Copy file name to clipboardExpand all lines: packages/@aws-cdk/aws-sagemaker-alpha/test/integ.endpoint-config.js.snapshot/aws-cdk-sagemaker-endpointconfig.assets.json
Copy file name to clipboardExpand all lines: packages/@aws-cdk/aws-sagemaker-alpha/test/integ.endpoint-config.js.snapshot/aws-cdk-sagemaker-endpointconfig.template.json
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