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@@ -581,6 +581,20 @@ az ml model deploy -m mymodel:1 --ic inferenceconfig.json --dc deploymentconfig.
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For more information, see the [az ml model deploy](https://docs.microsoft.com/cli/azure/ext/azure-cli-ml/ml/model?view=azure-cli-latest#ext-azure-cli-ml-az-ml-model-deploy) documentation.
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### Understanding service state
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During model deployment, you may see the service state change while it fully deploys.
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The following table describes the different service states:
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| Webservice state | Description | Final state?
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|-----|-----|-----|
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| Transitioning | The service isin the process of deployment. | No |
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| Unhealthy | The service has deployed but is currently unreachable. | No |
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| Unschedulable | The service cannot be deployed at this time due to lack of resources. | No |
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| Failed | The service has failed to deploy due to an error or crash. | Yes |
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| Healthy | The service is healthy and the endpoint is available. | Yes |
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### <a id="notebookvm"></a> Compute instance web service (dev/test)
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See [Deploy a model to Azure Machine Learning compute instance](how-to-deploy-local-container-notebook-vm.md).
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