Building compute to run your AutoML jobs

The first time you open AML studio, navigate to the Compute tab to create a compute instance and a compute cluster. Once you open the tab, you will see four headings at the top: Compute instances, Compute clusters, Inference clusters, and Attached compute. Let's take a look at these in more detail:

• Compute instances are virtual machines that you can use to write and run Python code in Jupyter or JupyterLab notebooks; you can also use a compute instance to write R code using R Studio.
• Compute clusters are groups of virtual machines used to train ML models remotely. You can kick off jobs on a compute cluster and continue working on code in your compute instance.
• Inference clusters are groups of virtual machines used to score data in real time.
• Attached compute refers to using Databricks or HDInsight compute to run big data jobs.

Let's see them in action.

Creating a compute instance

We'll start...