Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Profile model training performance using Cloud Profiler in custom training with prebuilt container: Notebook

In this tutorial, you learn how to enable Profiler in Vertex AI for custom training jobs with a prebuilt container.

Notebook: Profile model training performance using Cloud Profiler in prebuilt container

This tutorial uses the following Google Cloud ML services and resources:

Vertex AI 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.

Relevant content

Profile model training performance using Profiler