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Last updated: Feb 14, 2025
When you deploy certain assets in watsonx.ai Runtime, you can choose the type, size, and power of the hardware configuration that matches your computing needs.
Creating hardware specifications for deployments
You can create hardware specifications for your deployments in the following ways:
- Python client library: Use the
hardware_specifications.store - Data and AI Common Core API: Use
POST /v2/hardware_specifications
Deployment types that require hardware specifications
Selecting a hardware specification is available for all batch deployment types. For online deployments, you can select a specific hardware specification if you're deploying:
- Python Functions
- Tensorflow models
- Models with custom software specifications
Hardware configurations available for deploying assets
XSSMLXL
You can use the XS
- Python functions
- Python scripts
- R scripts
- Models based on custom libraries and custom images
For Decision Optimization deployments, you can use these hardware specifications:
SMLXL
Learn more
Parent topic: Managing predictive deployments
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