Pricing details
To suit all data science and AI needs, IBM has a variety of pricing plans for IBM Watson® Machine Learning on IBM Cloud Pak® for Data, Watson™ Machine Learning Cloud and Watson Machine Learning Server. The IBM plans give you the flexibility to build models wherever your data lives and deploy anywhere in your hybrid multicloud environment.
Which option is right for you?
Watson Machine Learning on IBM Cloud Pak for Data
Speed time to better AI outcomes on a cloud-native data and AI platform anywhere using Watson AI technology.
Features:
- Deployment capabilities with Watson Machine Learning available as part of IBM Cloud Pak for Data
- Flexible interfaces available for managing models and configuring deployments
- End-to-end lifecycle support for machine learning, from training to deployment and evaluation
- Configurations available for HA and non-HA
- First-class support for the most popular open source frameworks, as well as IBM SPSS® and IBM Decision Optimization for Watson Studio purchased separately
| Plan | Features | Pricing |
|---|---|---|
|
Watson Machine Learning on |
Committed term and perpetual licenses available. Deployed in the private or public cloud of your choice, Watson Studio Premium consists of Decision Optimization for prescriptive analysis, SPSS Modeler for visual productivity and Hadoop Execution Engine for extending your big data investments. |
Watson Machine Learning Cloud
The fastest way to move models from experimentations on your desktop or in your lab to deployments for production workloads. Runs in a managed service in a fully managed IBM Cloud environment.
Features:
- Pay-as-you-go consumption with as-a-service delivery, getting you up and running in seconds
- Fully managed service, removing the need for infrastructure cost overhead
- Flexible interfaces available for managing models and configuring deployments
- End-to-end lifecycle support for machine learning, from training to deployment and evaluation
- First-class support for the most popular open source frameworks, as well as IBM SPSS, IBM Decision Optimization for Watson Studio, and AutoAI with IBM Watson Studio
| Plan | Features | Pricing |
|---|---|---|
| Watson Machine Learning Cloud Lite |
Unlimited saved models and unlimited deployments 20 capacity unit hours per month for training and deployment |
Free |
| Watson Machine Learning Cloud Standard |
Billed at a flat rate per capacity unit hour. Use capacity unit hours for training and model deployment |
USD 0.50 /capacity unit hour |
| Watson Machine Learning Cloud Professional |
Billed at a fixed amount per month including 2,500 capacity unit hours. Overage billed at a flat rate per capacity unit hour. Use capacity unit hours for training and model deployment |
USD 1,000.00 /month Overage: |
Watson Machine Learning Server
Lightweight machine learning server with simple installation on a single server and integration with Watson Studio Desktop for end-to-end data science. It is also designed to help you deploy your open source models from Jupyter notebooks or other tools with manageability and visibility.
Features:
- Single-server deployment option for simple installation and administration
- Integration with Watson Studio Desktop for model training and deployment
- Flexible interfaces available for managing models and configuring deployments
- End-to-end lifecycle support for machine leaning, from training to deployment and evaluation
- First-class support for the most popular open source frameworks, as well as SPSS
| Plan | Features | Pricing |
|---|---|---|
|
Watson Machine Learning Server – for small teams needing to scale compute and deploy models |
Term and perpetual licenses available. Deployed to a single node server in the private or public cloud of your choice, including AWS and Azure. |