Get a Google support package

Google Cloud offers different support packages to meet different needs, such as24/7 coverage, phone support, and access to a technical support manager. Formore information, seeCloud Customer Care.

Get support from the community

Ask a question on Google Cloud Community

Ask a question about Vertex AI onGoogle CloudCommunity.Use the tagVertex AI Platform for questions aboutVertex AI. This tag not only receives responsesfrom the community but also from Google engineers, who monitor the tag andoffer unofficial support.

Get support for machine learning frameworks

Vertex AI provides prebuilt containers with the followingmachine learning (ML) frameworks: PyTorch, scikit-learn, TensorFlow, andXGBoost. Use of these prebuilt containers in Vertex AI is fullybacked 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 coveredby the standard support options.

Open source Kubeflow running on a GKE cluster isnot covered by the standard support options.

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

• To get support for Pytorch, see thePyTorch documentation. To submit issues to PyTorch,see thePyTorch issue tracker on GitHub.

• To get support for scikit-learn, see thescikit-learn FAQ. To submit issues to scikit-learn,see thescikit-learn issue tracker on GitHub.

• To get support for TensorFlow, see theTensorFlow documentation. To submit issues toTensorFlow, see theTensorFlow issue tracker on GitHub.

• To get support for XGBoost, see theXGBoost FAQ.To submit issues to XGBoost, see theXGBoost issue tracker on GitHub.

• To get support for Kubeflow, see theKubeflow Docs.To submit issues to Kubeflow Pipelines, see theKubeflow issue tracker on GitHub.

File bugs or feature requests

Keep track of Vertex AI issues on theissue tracker.

You can also submit product or documentation issues by clicking theSend feedback button on a relevant documentation page. This opens a feedback form. Your product feedback will bereviewed by the Vertex AI team. Documentation feedback will bereviewed by the Vertex AI documentation team.