Important:

IBM Cloud Pak® for Data Version 4.6 will reach end of support (EOS) on 31 July, 2025. For more information, see the Discontinuance of service announcement for IBM Cloud Pak for Data Version 4.X.

Upgrade to IBM Software Hub Version 5.1 before IBM Cloud Pak for Data Version 4.6 reaches end of support. For more information, see Upgrading IBM Software Hub in the IBM Software Hub Version 5.1 documentation.

Deploying assets

For proper deployment, you must set up a deployment space and then select and configure a specific deployment type.

To be able to deploy assets from a space, you must have the Watson Machine Learning service installed and provisioned.

Service
The Watson Machine Learning service is not available by default. An administrator must install this service on the IBM Cloud Pak for Data platform. To determine whether the service is installed, open the Services catalog and check whether the Watson Machine Learning service is enabled.

Deployable assets

Here is the list of assets that you can deploy from a Watson Machine Learning space, with information on applicable deployment types:

List of assets that you can deploy
Asset type Batch deployment Online deployment
Code packages No No
Functions Yes Yes
Models Yes Yes
Scripts Yes No
Shiny apps No No

For more information, refer to:

Code packages and Shiny apps follow their own deployment types. For more information, refer to:

Notes:

  • A deployment job is a way of running a batch deployment, or a self-contained asset like a code package or flow in Watson Machine Learning. You can select input and output for your job and choose to run it manually or on a schedule. For details, refer to Creating a deployment job.
  • Notebooks and flows use notebook environments. You can run them in a deployment space, but they are not deployable.
  • You can deploy a Natural Language Processing model by using Python functions or Python scripts. Both online and batch deployments are supported. For more information, refer to Deploying NLP models.

Learn more

Parent topic: Deploying and managing models and functions