Statements (47)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:cloud_service
|
| gptkbp:documentation |
https://docs.aws.amazon.com/sagemaker/latest/dg/deploy-model.html
|
| gptkbp:enables |
machine learning model deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
SageMaker Inference
|
| gptkbp:integratesWith |
gptkb:Amazon_S3
gptkb:SageMaker_Model_Registry gptkb:SageMaker_Pipelines gptkb:AWS_Lambda gptkb:Amazon_CloudWatch |
| gptkbp:launched |
2017
|
| gptkbp:partOf |
gptkb:Amazon_SageMaker
|
| gptkbp:provides |
gptkb:Amazon_Web_Services
|
| gptkbp:supports |
gptkb:TensorFlow
gptkb:XGBoost gptkb:MXNet gptkb:PyTorch gptkb:Scikit-learn gptkb:Hugging_Face_Transformers gptkb:ONNX A/B testing endpoint security model monitoring GPU acceleration auto-scaling batch inference data capture model versioning model explainability real-time inference IAM authentication VPC integration model rollback HTTPS endpoints custom containers elastic inference multi-model endpoints asynchronous inference custom frameworks custom inference code model shadow testing multi-container endpoints multi-variant endpoints serverless inference |
| gptkbp:bfsParent |
gptkb:SageMaker_Studio_Feature_Store
gptkb:SageMaker_Batch_Transform gptkb:SageMaker_Feature_Store |
| gptkbp:bfsLayer |
7
|