Setting up Watson Machine Learning Accelerator

When you set up and configure Watson Machine Learning Accelerator to work with Watson Studio, you can train models by using deep neural networks and use Watson Studio experiments.

Watson Machine Learning Accelerator provides GPU accelerated training to dramatically shorten training times. You must install Watson Studio and Watson Machine Learning before setting up Watson Machine Learning Accelerator.

In order to associate Watson Studio with a Watson Machine Learning Accelerator instance, you must register it using the updateWMLClusterdetails.sh command line utility. This allows Watson Studio to locate a Watson Machine Learning Accelerator instance and identify which Watson Machine Learning Accelerator details should be used. Locate the updateWMLClusterdetails.sh script from cpd-linux-workspace/modules/wml/x86_64/3.0.1/wml-base.

Without proper registration, Watson Machine Learning Accelerator features cannot be used by Watson Studio and Watson Machine Learning.

Use the following parameters and details to register Watson Studio using the updateWMLClusterdetails.sh command line utility:

updateWMLClusterdetails.sh wmla-master.example.com 9243 wml-ig wml-ig wml-host.example.com

• URL

  The required URL that points to the Watson Machine Learning Accelerator instance.

  Example:
  

  $>export NAMESPACE=<namespace_of_WML_instance>
  $>./updateWMLClusterdetails.sh vibrc1-cpd-vibrc1.apps.ube-dal12-wdp-wml-ce-v100-
  w001.wkctest.com 443 wml-ig wml-ig lite-210-ccs-80-wsl-45-cpd-lite-210-ccs-80-wsl-45.apps.are-dal12-asingh02.demo.ibmcloud.com
  

• Port

  The required network that points to the Watson Machine Learning Accelerator instance.

  Example: 443

• Instance group for single and distributed jobs

  The required name of the instance group that will be used for training. For example: wml-ig

• Instance group for elastic distributed training

  The required name of the instance group that will be used for elastic distributed training. For example: wml-ig-edt

• Host

  The Watson Machine Learning server host names point to the Cloud Pak for Data nginx-based URLs for both Watson Machine Learning and Watson Machine Learning Accelerator.

  Example: lite-210-ccs-80-wsl-45-cpd-lite-210-ccs-80-wsl-45.apps.are-dal12-asingh02.demo.ibmcloud.com

Learn more about installing IBM Watson Machine Learning Accelerator and connecting it to IBM Watson Studio and IBM Watson Machine Learning.