Profile model training performance using Cloud Profiler in custom training with prebuilt container: Notebook
In this tutorial, you learn how to enable Profiler in Gemini Enterprise Agent Platform for
custom training jobs with a prebuilt container.
Notebook: Profile model training performance using Cloud Profiler in prebuilt container
This tutorial uses the following Cloud de Confiance by S3NS ML services and resources:
- Gemini Enterprise Agent Platform training
- Vertex AI TensorBoard
The steps performed include:
- Prepare your custom training code and load your training code as a
Python package to a prebuilt container.
- Create and run a custom training job that enables Profiler.
- View the Profiler dashboard to debug your model training performance.
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Last updated 2026-10-13 UTC.
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