Amazon Web Services → Microsoft Azure
Azure equivalent of SageMaker AI inference (endpoints)
SageMaker AI endpoints map to Azure Machine Learning managed online endpoints (real-time), batch endpoints, and serverless deployments.
About SageMaker AI inference (endpoints)
| Provider | Amazon Web Services |
|---|---|
| Status | Generally available |
| What it is | Real-time, serverless, asynchronous, and batch-transform inference options. |
| Documentation | docs.aws.amazon.com |
| Pricing | Official pricing page |
Azure mappings (1)
| Capability | Azure equivalent | Match |
|---|---|---|
| Model hosting & inference endpoints | Azure ML online & batch endpoints | Direct match |
ML platform (SageMaker AI ↔ Azure ML)(1)
Model hosting & inference endpoints Direct match
SageMaker AI endpoints map to Azure Machine Learning managed online endpoints (real-time), batch endpoints, and serverless deployments.
- Real-time inference maps to managed online endpoints. Both support multiple deployments behind one endpoint with traffic splitting (blue/green).
- Batch transform maps to batch endpoints (async jobs on compute clusters).
- SageMaker Serverless Inference maps only partially. Azure "serverless/standard deployments" apply to catalog models billed per token, not to arbitrary custom containers.