Monitor, stop, and start web & compute nodes


This content is being retired and may not be updated in the future. The support for Machine Learning Server will end on July 1, 2022. For more information, see What's happening to Machine Learning Server?

Applies to: Machine Learning Server, Microsoft R Server

You can monitor, start, or stop all operationalization-related web and compute nodes on the Machine Learning Server machine at once.

Machine Learning Server 9.3 and later

In Machine Learning Server 9.3 and later, you can use admin extension of the Azure Command-Line Interface (Azure CLI) to set up and manage your configuration, including stopping and starting services.


  • You must first set up your nodes before doing anything else with the admin extension of the CLI.
  • You do not need an Azure subscription to use this CLI. It is installed as part of Machine Learning Server and runs locally.
  1. On the machine hosting the node, launch a command-line window or terminal with administrator (Windows) or root/sudo (Linux) privileges.

  2. Run the command to either monitor, stop, or start a node.

    # With elevated privileges, run the following commands.
    # Monitor nodes 
    az ml admin node list
    # Start nodes on a machine
    az ml admin node start --computenode --webnode
    # Stop nodes on a machine
    az ml admin node stop --computenode --webnode
    # Get help on other permutations
    az ml admin node start --help
    az ml admin node stop --help

Earlier versions: 9.0 - 9.2

To stop or start a web node or compute node:

  1. Launch the administration utility.

  2. From the main menu, choose the option Stop and start services.

  3. From the submenu, choose which nodes to start or stop.


If the following error occurs when attempting to start a web node "Microsoft.AspNetCore.Server.Kestrel.Internal.Networking.UvException: Error -97 EAFNOSUPPORT address family not supported", then disable IPv6 on your operating system.