FAQ

Common

• What will happen to my existing workspace and resources?

  Your existing workspace will be defaulted to the Basic edition. You will still have access to all your existing resources such as experiments, compute targets, storage, models etc.

• How do I switch between Basic and Enterprise workspaces?

  To upgrade your workspace from Basic to Enterprise, visit the Azure portal. You can either:

  1. Go to your list of workspaces and specify the workspace that you wish to upgrade by selecting ‘Upgrade’ to begin the process. Or
  2. In the Azure portal, create a new workspace and specify the ‘Workspace Type’ as ‘Enterprise’. We currently do not support upgrading your workspace to Enterprise from the SDK or CLI.

  You will not be able to downgrade an Enterprise workspace to Basic. For more information about upgrading, please visit our machine learning documentation .

• Will I be charged for training and inferencing models on Azure Machine Learning?

  For both Basic and Enterprise editions, customers will still be responsible for costs of Azure resources consumed. Please see here for the VM prices. While Enterprise edition is in preview, you will not see a ML surcharge however once the Enterprise edition is generally available, an ML surcharge will apply as shown in this page.

• How will I be charged for the Azure Machine Learning designer?

  Customers can access Azure Machine Learning designer through Azure Machine Learning. There is no additional cost for using the designer capabilities.

• Could you give me an example on how billing works?

  You will be billed daily. For billing purposes, a day commences at midnight UTC. Bills are generated monthly.

  • • Training:

      As a specific example, let’s say you train a model for 100 hours using 10 DS14 v2 VMs on an Basic workspace in China East 2. For a billing month of 30 days, your bill will be as follows:

      Azure VM Charge: (10 machines * ￥13.83 per machine) * 100 hours = ￥13,830

      Azure Machine Learning Charge: (10 machines * 16 cores * ￥0 per core) * 100 hours = ￥0

      Total: ￥13,830 + ￥0 = ￥13,830

    • Inferencing:

      As a specific example, let’s say you deploy a model for inferencing all day for a 30-day billing month using 10 DS14 v2 VMs in Basic in US West 2. For a billing month of 30 days, your bill will be as follows:

      Azure VM Charge: (10 machines * ￥13.83 per machine) * (24 hours * 30 days) = ￥99,576

      Azure Machine Learning Charge: (10 machines * 16 cores * ￥0 per core) * (24 hours * 30 days) = ￥0

      Total: ￥99,576 + ￥0 = ￥99,576

  Please note the compute charges are included with Azure Machine Learning rates above. In addition, you will incur separate charges for any Azure services consumed in conjunction with Azure Machine Learning, including but not limited to HDInsight, Azure Container Registry, Azure Blob Storage, Application Insights, Azure Key Vault, Virtual Network, Azure Event Hub, and Azure Stream Analytics.