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 Google Cloud Community
Ask a question about Vertex AI on Google Cloud Community.
Use the tag Vertex AI Platform for questions about Vertex AI. This tag not only receives responses
from the but also from Google engineers, who monitor the tag and offer unofficial support.
Get support for machine learning frameworks
Vertex AI provides prebuilt containers with the following machine learning (ML) frameworks: PyTorch, scikit-learn, TensorFlow, and XGBoost. Use of these prebuilt 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:
To get support for Pytorch, see the PyTorch documentation. To submit issues to PyTorch, see the PyTorch issue tracker on GitHub.
To get support for scikit-learn, see the scikit-learn FAQ. To submit issues to scikit-learn, see the scikit-learn issue tracker on GitHub.
To get support for TensorFlow, see the TensorFlow documentation. To submit issues to TensorFlow, see the TensorFlow issue tracker on GitHub.
To get support for XGBoost, see the XGBoost FAQ. To submit issues to XGBoost, see the XGBoost issue tracker on GitHub.
To get support for Kubeflow, see the Kubeflow Docs. To submit issues to Kubeflow Pipelines, see the Kubeflow issue tracker on GitHub.
File bugs or feature requests
Keep track of Vertex AI issues on the issue tracker.
You can also submit product or documentation issues by clicking the Send feedback button on a relevant documentation page. This opens a feedback form. Your product feedback will be reviewed by the Vertex AI team. Documentation feedback will be reviewed by the Vertex AI documentation team.