Services on AWS
Configure an integration with the Amazon Web Services (AWS) platform to leverage watsonx.ai and watsonx.governance.
IBM watsonx.ai
The IBM watsonx experience on AWS includes the watsonx.ai Studio and the watsonx.ai Runtime services.
IBM watsonx.ai Studio
IBM watsonx.ai Studio provides the environment and tools for your team to collaboratively solve your business problems. You can choose the tools you need to analyze and visualize data, to cleanse and shape data, to experiment with prompting foundation models, to tune foundation models, or to create and train machine learning models.
IBM watsonx.ai Runtime
IBM watsonx.ai Runtime provides the environment and tools for your team to collaboratively solve your business problems. You can choose the tools you need to analyze and visualize data, to cleanse and shape data, to experiment with prompting foundation models, to tune foundation models, or to create and train machine learning models.
The IBM watsonx.ai Runtime service was formerly known as the Watson Studio service.
Plan details
IBM watsonx.ai is available with the Standard plan on AWS. The following table provides details about the various features included in the Standard plan:
| Feature | Standard |
|---|---|
| Max parallel Decision Optimization batch jobs per deployment | 100 |
| Deployment jobs retained per space | 3000 |
| Deployment time to idle | 3 days |
| Rate limit | 8 inference requests per second |
| Support for custom foundation models | Not available |
| Document text extraction | Billed per page |
| Foundation model tuning | Not available |
| Connectors | ✓ |
| Large environments | ✓ |
| Spark environments | Up to 35 executors |
| GPU environments | ✓ |
| Export projects | ✓ |
| Collaborators | Unlimited |
IBM watsonx.governance
IBM watsonx.governance provides the tools to evaluate, govern, and monitor your AI solutions. Watsonx.governance supports external models that are developed in third-party providers, including Amazon Web Services or Microsoft Azure.
With the Governance console, you can manage risk and regulatory compliance for generative AI assets and machine learning models. You can collect metadata about foundation models and machine learning models to help you achieve your governance goals. You can also use the Governance console to develop workflows that support your governance processes.
For more information, see watsonx.governance as a Service on AWS.
Plan details
For information, see AWS Marketplace.
Learn more
- Preparing data
- Developing generative AI solutions with foundation models
- Analyzing data and building machine learning solutions
- Governing AI assets
Parent topic: Services and integrations