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: Notebook

In this tutorial, you learn how to enable Profiler for custom training jobs.

Notebook: Profile model training performance using Cloud Profiler

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

Vertex AI training
Vertex AI TensorBoard

The steps performed include:

Set up a service account and a Cloud Storage bucket.
Create a Vertex AI TensorBoard instance.
Create and run a custom training job that enables Profiler.
View the Profiler dashboard to debug your model training performance.

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Profile model training performance using Profiler