Managing infrastructure resources in Azure ML Studio
To conduct an experiment, you will need a couple of infrastructure resources to consume. You can configure and manage them through the following sections:
- Compute provides the managed compute infrastructure you can use in your experiments. This allows you to register and utilize virtual machines that may have multiple CPUs and GPUs and memory sizes that can load humongous datasets into them. Having those computes as a managed service means that you don't have to worry about installing the operating system or keeping it patched and up to date. You will learn more about the various compute options in Chapter 4, Configuring the Workspace.
- Datastores contains the connection information needed to get access to the data within various engines, such as Azure Blob Storage and Azure SQL Database. This information is used to access the datasets that you registered in the Compute section. You will learn more about the concepts...
