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:
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.