Gemini Enterprise Agent Platform

cloud.google.com · 2026-06-16 · by Long Nguyen ·generic
Gemini Enterprise Agent Platform (formerly Vertex AI) is a comprehensive platform for developers to build, scale, govern and optimize agents.

Gemini Enterprise Agent Platform

All the power of Vertex AI you know and love, now within Gemini Enterprise Agent Platform. Read more in our announcement blog.

Gemini icon

Gemini Enterprise Agent Platform

Innovate, build, and deploy enterprise ready agents

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern and optimize agents. It's a single destination for technical teams to build agents that can transform enterprise applications and workflows into powerful agentic systems.

New customers get up to $300 in free credits to try Agent Platform and other Google Cloud products.

Try Agent Platform free[](https://console.cloud.google.com/freetrial/?redirectPath=/agent-platform/overview)

Contact sales[](https://cloud.google.com/contact)

Product highlights

  • Accelerate agent development with unified data and AI
  • Build generative AI apps quickly with Gemini
  • Train, test, and tune ML models on a single platform
  • ---

  • Gemini iconStart building with Nano Banana Pro (Gemini 3 Pro Image) in the Gemini API todayTry it in Agent Platform
  • Features

    Build, scale, govern and optimize enterprise grade AI agents

    Agent Platform is our open and comprehensive platform that empowers businesses to rapidly build, scale, govern and optimize enterprise-grade agents grounded in your enterprise data. It provides the full-stack foundation and extensive developer choice you need to transform your applications and workflows into powerful agentic systems at global scale.

    Scale agents from Agent Platform to your organizationUse Gemini Enterprise app to securely register, manage, and govern your custom-built agents.Learn about Gemini Enterprise app

    Agent-powered development and workflows

    Now available through Agent Platform, Google Antigravity provides a centralized app to steer, customize, and orchestrate agents. You can deploy multiple agents to simultaneously execute entire workflows like product launches—automating the code generation for your website, on-brand asset creation, and customer email production. Download Antigravity and log in to the desktop application or Antigravity CLI using your standard Google Cloud credentials.

    200+ Google and third-party AI models and tools

    Choose from Google’s latest multimodal models like Gemini 3.5, third-party models like Anthropic's Claude Model Family, and open models like Gemma in Model Garden. You can also customize models to your use case with a variety of tuning options.

    Our Model Evaluation service provides enterprise-grade tools for objective, data-driven assessment of generative AI models.

    Gemini iconQuickstart: Get started with Gemini 3

    Open and integrated AI platform

    Data scientists can move faster with Agent Platform tools for training, tuning, and deploying ML models.

    Agent platform notebooks, including your choice of Colab Enterprise or Workbench, are natively integrated with BigQuery providing a single surface across all data and AI workloads.

    Agent platform Training and Prediction help you reduce training time and deploy models to production easily with your choice of open source frameworks and optimized AI infrastructure.

    MLOps for predictive and generative AI

    Agent Platform provides purpose-built MLOps tools for data scientists and ML engineers to automate, standardize, and manage ML projects.

    Modular tools help you collaborate across teams and improve models throughout the entire development lifecycle—identify the best model for a use case with Model Evaluation, orchestrate workflows with Pipelines, manage any model with Model Registry serve, share, and reuse ML features with Feature Store, and monitor models for input skew and drift.

    MLOps with Agent Platform: Model EvaluationNo cost training Get started

    View all features

    How It Works

    ###

    Agent Platform provides several options for agent building, model training and deployment:

  • Agent Platform enables you to build, scale, govern and optimize enterprise ready agents in one unified platform
  • Agent Studio gives you access to large generative AI models, including Gemini 3, so you can evaluate, tune, and deploy them for use in your AI-powered applications
  • Model Garden lets you discover, test, customize, and deploy in Agent Platform and select open-source (OSS) models and assets
  • Custom training gives you complete control over the training process, including using your preferred ML framework, writing your own training code, and choosing hyperparameter tuning options
  • View documentation[](https://docs.cloud.google.com/gemini-enterprise-agent-platform)

    Common Uses

    Build and deploy AI agents

    #####

    Unlock advanced AI capabilities with Agent Platform

    Build production-ready generative AI agents and applications on a platform that scales with you. Our Agent Platform provides a secure environment for developing and deploying AI models and applications.

    For developers, Agent Platform remains our advanced platform where you can build, customize, and fine-tune sophisticated agents using frameworks like the Agent Development Kit (ADK).

    View documentation [](https://docs.cloud.google.com/gemini-enterprise-agent-platform)

    Generative AI UI in Vertex

  • View available models in Agent Platform
  • 101 real-world gen AI use cases with technical blueprints
  • Design agents in Agent Studio
  • Get started with this codelab and build your first AI application today

    {msg desc="Alternative text for a build icon"}build{/msg}

    #### Tutorials, quickstarts, & labs

    #####

    Unlock advanced AI capabilities with Agent Platform

    Build production-ready generative AI agents and applications on a platform that scales with you. Our Agent Platform provides a secure environment for developing and deploying AI models and applications.

    For developers, Agent Platform remains our advanced platform where you can build, customize, and fine-tune sophisticated agents using frameworks like the Agent Development Kit (ADK).

    View documentation [](https://docs.cloud.google.com/gemini-enterprise-agent-platform)

    Generative AI UI in Vertex

  • View available models in Agent Platform
  • 101 real-world gen AI use cases with technical blueprints
  • Design agents in Agent Studio
  • Get started with this codelab and build your first AI application today

    Build with Gemini models

    #####

    Start building with Agent Studio

    Use Agent Studio to design, test, and manage prompts for Gemini models using natural language, code, images, or video. Try sample prompts for extracting text from images, image mock up to HTML, and even generate answers about uploaded images or videos.

    You can also start testing Gemini on Agent Platform with an API key.

    Try Gemini in Agent Platform[](https://console.cloud.google.com/freetrial/?redirectPath=/vertex-ai/generative/multimodal/create/text)

    Generative AI Model Garden dashboard view

  • Set up the Agent Platform Gemini API
  • Guides and examples for building with Gemini models
  • Featured Gemini models
  • #####

    Access Gemini models via the Gemini API in Agent Platform

    View code samples for Python, JavaScript, Java, Go, and Curl

    Python

  • Python
  • JavaScript
  • Java
  • Go
  • Curl
  • Loading...

    content\_copy

    View more code samples [](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/samples)

  • Set up the Agent Platform Gemini API
  • Learn multimodal design best practices
  • [](https://github.com/GoogleCloudPlatform/generative-ai)
  • [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai)Repository for sample code and notebooks

    {msg desc="Alternative text for a build icon"}build{/msg}

    #### Tutorials, quickstarts, & labs

    #####

    Start building with Agent Studio

    Use Agent Studio to design, test, and manage prompts for Gemini models using natural language, code, images, or video. Try sample prompts for extracting text from images, image mock up to HTML, and even generate answers about uploaded images or videos.

    You can also start testing Gemini on Agent Platform with an API key.

    Try Gemini in Agent Platform[](https://console.cloud.google.com/freetrial/?redirectPath=/vertex-ai/generative/multimodal/create/text)

    Generative AI Model Garden dashboard view

  • Set up the Agent Platform Gemini API
  • Guides and examples for building with Gemini models
  • Featured Gemini models
  • code_blocks

    #### Code sample

    #####

    Access Gemini models via the Gemini API in Agent Platform

    View code samples for Python, JavaScript, Java, Go, and Curl

    Python

  • Python
  • JavaScript
  • Java
  • Go
  • Curl
  • Loading...

    content\_copy

    View more code samples [](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/samples)

  • Set up the Agent Platform Gemini API
  • Learn multimodal design best practices
  • [](https://github.com/GoogleCloudPlatform/generative-ai)
  • [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai) [](https://github.com/GoogleCloudPlatform/generative-ai)Repository for sample code and notebooks

    Extract, summarize, and classify data

    #####

    Use gen AI for summarization, classification, and extraction

    Learn how to create text prompts for handling any number of tasks with Agent Platform's generative AI support. Some of the most common tasks are classification, summarization, and extraction. Gemini on Agent Platform lets you design prompts with flexibility in terms of their structure and format.

    View text prompt design docs[](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design)

    Data in a spreadsheet

  • Overview of prompting strategies
  • Learn about AI-powered prompt writing tools in Agent Studio
  • View all generative AI prompt samples
  • {msg desc="Alternative text for a build icon"}build{/msg}

    #### Tutorials, quickstarts, & labs

    #####

    Use gen AI for summarization, classification, and extraction

    Learn how to create text prompts for handling any number of tasks with Agent Platform's generative AI support. Some of the most common tasks are classification, summarization, and extraction. Gemini on Agent Platform lets you design prompts with flexibility in terms of their structure and format.

    View text prompt design docs[](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design)

    Data in a spreadsheet

  • Overview of prompting strategies
  • Learn about AI-powered prompt writing tools in Agent Studio
  • View all generative AI prompt samples
  • Deploy a model for production use

    #####

    Deploy for batch or online predictions

    When you're ready to use your model to solve a real-world problem, register your model to Model Registry and use the Agent Platform prediction service for batch and online predictions.

    Learn how to get predictions from an ML model[](https://www.youtube.com/watch?v=-9fU1xwBQYU)

    ML model prediction

  • Get hands on with a Agent Platform Predictions codelab
  • Simplify model serving with custom prediction routines
  • Use prebuilt containers for prediction and explanation
  • Watch Prototype to Production, a video series that takes you from notebook code to a deployed model.

    {msg desc="Alternative text for a build icon"}build{/msg}

    #### Tutorials, quickstarts, & labs

    #####

    Deploy for batch or online predictions

    When you're ready to use your model to solve a real-world problem, register your model to Model Registry and use the Agent Platform prediction service for batch and online predictions.

    Learn how to get predictions from an ML model[](https://www.youtube.com/watch?v=-9fU1xwBQYU)

    ML model prediction

  • Get hands on with a Agent Platform Predictions codelab
  • Simplify model serving with custom prediction routines
  • Use prebuilt containers for prediction and explanation
  • Watch Prototype to Production, a video series that takes you from notebook code to a deployed model.

    Train custom Models

    #####

    Custom Model training overview and documentation

    Get an overview of the custom training workflow in Agent Platform, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.

    View overview documentation[](https://cloud.google.com/vertex-ai/docs/training/overview)

    Google Agent Platform tracker status

  • Custom training beginner's guide
  • Train a model using Agent Platform and the Python SDK
  • Learn to build and deploy machine learning solutions on Agent Platform
  • Get a video walkthrough of the steps required to train custom models on Agent Platform.

    {msg desc="Alternative text for a build icon"}build{/msg}

    #### Tutorials, quickstarts, & labs

    #####

    Custom Model training overview and documentation

    Get an overview of the custom training workflow in Agent Platform, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.

    View overview documentation[](https://cloud.google.com/vertex-ai/docs/training/overview)

    Google Agent Platform tracker status

  • Custom training beginner's guide
  • Train a model using Agent Platform and the Python SDK
  • Learn to build and deploy machine learning solutions on Agent Platform
  • Get a video walkthrough of the steps required to train custom models on Agent Platform.

    Generate a solution

    What problem are you trying to solve?

    Generate solution

    _shuffle_Surprise me

    What you'll get:

    _check\_small_Step-by-step guide

    _check\_small_Reference architecture

    _check\_small_Available pre-built solutions

    _spark_Use various generative models

    _spark_Train a custom model

    _spark_Generate custom images

    This service was built with Gemini Enterprise Agent Platform. You must be 18 or older to use it. Do not enter sensitive, confidential, or personal info.

    Pricing

    | How Agent Platform pricing works | Pay for Agent Platform tools, storage, compute and Cloud resources used. New customers get $300 free credits to try Agent Platform and Google Cloud products. | | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------- | | Tools and usage | Description | Price | | Generative AI | Imagen model for image generationBased on image input, character input, or custom training pricing. | Starting at$0.0001 | | Text, chat, and code generationBased on every 1,000 characters of input (prompt) and every 1,000 characters of output (response). | Starting at$0.0001per 1,000 characters | | | Custom-trained models | Custom model trainingBased on machine type used per hour, region, and any accelerators used. Get an estimate using sales or our pricing calculator. | Contact sales | | Agent Platform notebooks | Compute and storage resourcesBased on the same rates as Compute Engine and Cloud Storage. | Refer to products | | Management feesIn addition to the above resource usage, management fees apply based on region, instances, notebooks, and managed notebooks used. View details. | Refer to details | | | Agent Platform Pipelines | Execution and additional feesBased on execution charge, resources used, and any additional service fees. | Starting at$0.03 per pipeline run | | Agent Platform Vector Search | Serving and building costsBased on the size of your data, the amount of queries per second (QPS) you want to run, and the number of nodes you use. View example. | Refer to example |

    View pricing details for all Agent Platform features and services.

    How Agent Platform pricing works

    Pay for Agent Platform tools, storage, compute and Cloud resources used. New customers get $300 free credits to try Agent Platform and Google Cloud products.

    Generative AI

    Description

    Imagen model for image generation

    Based on image input, character input, or custom training pricing.

    Price

    Starting at

    $0.0001

    Text, chat, and code generation

    Based on every 1,000 characters of input (prompt) and every 1,000 characters of output (response).

    Description

    Starting at

    $0.0001

    per 1,000 characters

    Custom-trained models

    Description

    Custom model training

    Based on machine type used per hour, region, and any accelerators used. Get an estimate using sales or our pricing calculator.

    Price

    Contact sales

    Agent Platform notebooks

    Description

    Compute and storage resources

    Based on the same rates as Compute Engine and Cloud Storage.

    Price

    Refer to products

    Management fees

    In addition to the above resource usage, management fees apply based on region, instances, notebooks, and managed notebooks used. View details.

    Description

    Refer to details

    Agent Platform Pipelines

    Description

    Execution and additional fees

    Based on execution charge, resources used, and any additional service fees.

    Price

    Starting at

    $0.03

    per pipeline run

    Agent Platform Vector Search

    Description

    Serving and building costs

    Based on the size of your data, the amount of queries per second (QPS) you want to run, and the number of nodes you use. View example.

    Price

    Refer to example

    View pricing details for all Agent Platform features and services.

    ###

    Pricing calculator

    Estimate your Agent Platform costs, including region-specific pricing and fees.

    Estimate your costs[](https://cloud.google.com/products/calculator)

    ###

    Custom quote

    Connect with our sales team to get a custom quote for your organization.

    Request a quote[](https://cloud.google.com/contact)

    ###

    Start your proof of concept

    ###

    New customers get up to $300 in free credits to try Agent Platform and other Google Cloud products

    Get started for free[](https://console.cloud.google.com/freetrial/?redirectPath=/agent-platform/overview)

    ###

    Have a large project?

    Contact sales[](https://cloud.google.com/contact)

    ###

    Browse, customize, and deploy machine learning models

    Browse Model Garden[](https://console.cloud.google.com/vertex-ai/model-garden)

    ###

    Learn how to set up a Agent Platform project environment

    Read guide[](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)

    ###

    Get started with notebooks for machine learning

    Watch video[](https://www.youtube.com/watch?v=%5FQ1Nf-rgSiE)

    Business Case

    Unlock the full potential of gen AI

    ---

    GA Telesis logo

    "The accuracy of Google Cloud's generative AI solution and practicality of the Agent Platform gives us the confidence we needed to implement this cutting-edge technology into the heart of our business and achieve our long-term goal of a zero-minute response time."

    Abdol Moabery, CEO of GA Telesis

    Learn more[](https://www.googlecloudpresscorner.com/2023-06-07-Leading-Global-Airline-Supplier,-GA-Telesis,-Integrates-Google-Clouds-Generative-AI-Technology)

    Related content

  • How grounding your models helps you gain a competitive edge.Read the report
  • How generative AI takes enterprise search to a whole new level.Read the report
  • See how our customers are implementing generative AI to transform their businesses.Learn more

Analyst reports

Google named a Leader in the 2025 IDC MarketScape for Worldwide GenAI Life-Cycle Foundation Model Software. Download the report

Google Named a Leader in the Gartner Magic Quadrant™ for AI Application Development Platforms, Q4 2025. Read the report

Google named a leader in the Forrester Wave™: AI/ML Platforms, Q3 2024. Read the report

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