Go back to the English version of the documentationCustomizing watsonx.ai Runtime deployment runtimes
Customizing watsonx.ai Runtime deployment runtimes
Last updated: 05 февр. 2025 г.
Create custom watsonx.ai Runtime deployment runtimes with libraries and packages that are required for your deployments.
If your model requires custom components such as extenal libraries, packages, user-defined transformers, estimators, or user-defined tensors, you can create a custom software specification that is derived from a predefined base specification. Python functions and Python scripts also support custom software specifications.
For more information, see Customizing runtimes with external libraries and packages.
Parent topic: Deploying and managing assets