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This page provides an overview of Vertex AI on Google Distributed Cloud (GDC) air-gapped, covering the available features and key benefits to help you understand how its machine learning features can innovate your air-gapped applications.
This page is for application developers working within application operator groups who are looking to incorporate AI features into their air-gapped applications and workflows. For more information, see Audiences for GDC air-gapped documentation.
Vertex AI for secure on-premise environments
Vertex AI on Distributed Cloud brings the power of a
machine learning platform and generative AI models to your secure on-premises
environments. This solution is designed for organizations with strict data
sovereignty, security, and privacy requirements. Vertex AI services let
you innovate with AI features while maintaining complete control in the same
air-gapped infrastructure.
Key features
Vertex AI on Distributed Cloud offers you the following features:
Air-gapped deployment: Run Vertex AI services entirely within
your data center, ensuring data sovereignty and compliance.
Familiar Vertex AI experience: Take advantage of the same
tools, APIs, and models from Vertex AI on Google Cloud, simplifying
development and management.
Pre-built models and algorithms: Access a range of state-of-the-art
models for common machine learning and AI tasks, accelerating your time to
value.
Custom model training: Train your AI and machine learning models using
your own data, tailoring solutions to your specific needs.
MLOps capabilities: Streamline your machine learning workflows with
tools for model deployment, monitoring, and management.
Available services
Vertex AI on Distributed Cloud offers the following services:
Generative AI:
Build applications that are powered by state-of-the-art generative AI
models to create data.
Online Prediction:
(Preview) Deploy and make requests to your prediction models.
Vertex AI Workbench:
Create a managed JupyterLab notebook environment for machine learning
development.
Benefits
Vertex AI on Distributed Cloud offers the following benefits:
Seamless development experience: Use the same tools, APIs, models, and
workflows of Vertex AI on Google Cloud, making development and
management intuitive and efficient.
Enhanced security and privacy: Maintain complete control over your data
and comply with regulatory requirements.
Increased agility: Develop and deploy AI and machine learning models in
your air-gapped environment.
Accelerated time to value: Utilize pre-trained models for common machine
learning tasks, or train your custom models using your unique datasets.
Streamlined MLOps: Benefit from robust machine learning operation
capabilities for seamless model deployment, monitoring, and management
within your air-gapped environment.
Get started
To get started with Vertex AI on Distributed Cloud, do the
following:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-29 UTC."],[[["\u003cp\u003eVertex AI on Google Distributed Cloud (GDC) air-gapped enables organizations with strict data requirements to utilize a machine learning platform within their secure, on-premises environments.\u003c/p\u003e\n"],["\u003cp\u003eThis solution offers the same familiar Vertex AI tools, APIs, and workflows from Google Cloud, making development and management consistent and efficient.\u003c/p\u003e\n"],["\u003cp\u003eYou can leverage pre-built models, train custom models with your data, and streamline operations with comprehensive MLOps capabilities, all within your air-gapped infrastructure.\u003c/p\u003e\n"],["\u003cp\u003eVertex AI on Distributed Cloud supports various services including Online Prediction, Optical Character Recognition (OCR), Speech-to-Text, Vertex AI Translation, and Vertex AI Workbench.\u003c/p\u003e\n"],["\u003cp\u003eThe key benefits of this service are seamless experience, enhanced security and privacy, increased agility, accelerated time to value and streamlined MLOps.\u003c/p\u003e\n"]]],[],null,["# Vertex AI overview\n\nThis page provides an overview of Vertex AI on Google Distributed Cloud (GDC) air-gapped, covering the available features and key benefits to help you understand how its machine learning features can innovate your air-gapped applications.\n\nThis page is for application developers working within application operator groups who are looking to incorporate AI features into their air-gapped applications and workflows. For more information, see [Audiences for GDC air-gapped documentation](/distributed-cloud/hosted/docs/latest/gdch/resources/audiences).\n\nVertex AI for secure on-premise environments\n--------------------------------------------\n\nVertex AI on Distributed Cloud brings the power of a\nmachine learning platform and generative AI models to your secure on-premises\nenvironments. This solution is designed for organizations with strict data\nsovereignty, security, and privacy requirements. Vertex AI services let\nyou innovate with AI features while maintaining complete control in the same\nair-gapped infrastructure.\n\nKey features\n------------\n\nVertex AI on Distributed Cloud offers you the following features:\n\n- **Air-gapped deployment**: Run Vertex AI services entirely within your data center, ensuring data sovereignty and compliance.\n- **Familiar Vertex AI experience**: Take advantage of the same tools, APIs, and models from Vertex AI on Google Cloud, simplifying development and management.\n- **Pre-built models and algorithms**: Access a range of state-of-the-art models for common machine learning and AI tasks, accelerating your time to value.\n- **Custom model training**: Train your AI and machine learning models using your own data, tailoring solutions to your specific needs.\n- **MLOps capabilities**: Streamline your machine learning workflows with tools for model deployment, monitoring, and management.\n\nAvailable services\n------------------\n\nVertex AI on Distributed Cloud offers the following services:\n\n- [**Generative AI**](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/genai/genai-overview): Build applications that are powered by state-of-the-art generative AI models to create data.\n- [**Online Prediction**](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-online-predictions): (*Preview*) Deploy and make requests to your prediction models.\n- [**Optical Character Recognition (OCR)**](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-ocr): Extract text from images and documents.\n- [**Speech-to-Text**](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-stt): Convert spoken language into written text.\n- [**Vertex AI Translation**](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-translation): Translate text between multiple languages.\n- [**Vertex AI Workbench**](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-workbench-intro): Create a managed JupyterLab notebook environment for machine learning development.\n\nBenefits\n--------\n\nVertex AI on Distributed Cloud offers the following benefits:\n\n- **Seamless development experience**: Use the same tools, APIs, models, and workflows of Vertex AI on Google Cloud, making development and management intuitive and efficient.\n- **Enhanced security and privacy**: Maintain complete control over your data and comply with regulatory requirements.\n- **Increased agility**: Develop and deploy AI and machine learning models in your air-gapped environment.\n- **Accelerated time to value**: Utilize pre-trained models for common machine learning tasks, or train your custom models using your unique datasets.\n- **Streamlined MLOps**: Benefit from robust machine learning operation capabilities for seamless model deployment, monitoring, and management within your air-gapped environment.\n\nGet started\n-----------\n\nTo get started with Vertex AI on Distributed Cloud, do the\nfollowing:\n\n- [Learn about essential roles and permissions for available services](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-ao-permissions).\n- [Set up a project for your AI and machine learning workflows](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-set-up-project).\n- [Provision GPUs and enable the Vertex AI services](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-enable-pre-trained-apis).\n- [Install the Vertex AI client libraries](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-install-libraries).\n\nThen, you can start building and deploying your AI and machine learning models."]]
