Get support

Get a Google support package

Google Cloud offers different support packages to meet different needs, such as 24/7 coverage, phone support, and access to a technical support manager. For more information, see Google Cloud Support.

Get support from the community

Ask a question on Stack Overflow

Ask a question about Vertex AI on Stack Overflow. Use the tag google-cloud-ml for questions about Vertex AI. This tag not only receives responses from the Stack Overflow community, but also from Google engineers, who monitor the tag and offer unofficial support.

Discuss Vertex AI

To discuss specific Vertex AI features, join the following groups:

You can also visit the Google Cloud Slack community to discuss Vertex AI and other Google Cloud products. If you haven't already joined, use this form to sign up.

Get support for machine learning frameworks

Vertex AI provides pre-built containers with the following machine learning (ML) frameworks: PyTorch, scikit-learn, TensorFlow, and XGBoost. Use of these pre-built containers in Vertex AI is fully backed by the SLA and covered by the standard support options.

Vertex AI provides a managed service which implements the Kubeflow SDK: Vertex AI Pipelines. Using Vertex AI Pipelines is fully backed by the SLA and covered by the standard support options.

Open source Kubeflow running on a GKE cluster is not covered by the standard support options.

To get support for an ML framework, including for bugs and documentation issues unrelated to Vertex AI, use that ML framework's support options:

File bugs or feature requests

From the Vertex AI documentation, click Send feedback near the top right of the page. This opens a feedback form. Your comments will be reviewed by the Vertex AI team.