Microsoft Azure → Amazon Web Services
AWS equivalent of Azure ML online & batch endpoints
The closest AWS equivalent of Azure ML online & batch endpoints is SageMaker AI inference (endpoints).
About Azure ML online & batch endpoints
| Provider | Microsoft Azure |
|---|---|
| Status | Generally available |
| What it is | Managed online endpoints (real-time, multiple deployments with traffic split), Kubernetes online endpoints, batch endpoints (async jobs on clusters), and serverless (standard) deployments for catalog models. |
| Documentation | learn.microsoft.com |
| Pricing | Official pricing page |
AWS mappings (1)
| Capability | AWS equivalent | Match |
|---|---|---|
| Model hosting & inference endpoints | SageMaker AI inference (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.