Azure Machine Learning managed online and batch endpoints now in public preview //Build 2021.
Published date: 25 May, 2021
We are announcing the public preview of managed online and batch endpoints. These new features help you seamlessly deploy and score models without managing the underlying infrastructure.
- Managed online endpoints provide out-of-box capabilities to operationalise models: SLA metrics including latency, throughput and resource utilisation, security aspects including managed identity and authentication, integration with log analytics and safe rollout of new model versions.
- Managed batch endpoints help customers deploy and operationalise their models and get a consistent endpoint to batch score large-scale data. It also supports no-code MLflow model deployment.
Learn more about managed online endpoints.
Learn more about managed batch endpoints.