<h1 id="ml-model-as-a-service"><a aria-hidden="true" class="anchor-heading" href="#ml-model-as-a-service"><svg aria-hidden="true" viewBox="0 0 16 16"><use xlink:href="#svg-link"></use></svg></a>Ml Model as a Service</h1>
<h2 id="general-info"><a aria-hidden="true" class="anchor-heading" href="#general-info"><svg aria-hidden="true" viewBox="0 0 16 16"><use xlink:href="#svg-link"></use></svg></a>General Info</h2>
<p>In Azure Machine Learning, you can deploy a service as an Azure Container Instances (ACI) or to an Azure Kubernetes Service (AKS) cluster. For production scenarios, an AKS deployment is recommended, for which you must create an inference cluster compute target. In this exercise, you'll use an ACI service, which is a suitable deployment target for testing, and does not require you to create an inference cluster.</p>

Ml Model as a Service


This is the root for your Dendron vault.

If you decide to publish your entire vault, it will be your landing page. You are free to customize any part of this page except the frontmatter at the top, between the `---`. 
