Gemini Enterprise Agent Platform (formerly Vertex AI) (original) (raw)
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.
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.
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.
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.
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
Common Uses
Build and deploy AI agents
Tutorials, quickstarts, & labs
Tutorials, quickstarts, & labs
Build with Gemini models
Tutorials, quickstarts, & labs
Code sample
Tutorials, quickstarts, & labs
Code sample
Extract, summarize, and classify data
Tutorials, quickstarts, & labs
Tutorials, quickstarts, & labs
Deploy a model for production use
Tutorials, quickstarts, & labs
Tutorials, quickstarts, & labs
Train custom Models
Tutorials, quickstarts, & labs
Tutorials, quickstarts, & labs
Generate a solution
What problem are you trying to solve?
What you'll get:
Step-by-step guide
Reference architecture
Available pre-built solutions
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 |
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.
Description
Imagen model for image generation
Based on image input, character input, or custom training pricing.
Price
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
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
Description
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
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
Pricing calculator
Estimate your Agent Platform costs, including region-specific pricing and fees.
Custom quote
Connect with our sales team to get a custom quote for your organization.
Start your proof of concept
New customers get up to $300 in free credits to try Agent Platform and other Google Cloud products
Have a large project?
Browse, customize, and deploy machine learning models
Learn how to set up a Agent Platform project environment
Get started with notebooks for machine learning
Business Case
Unlock the full potential of gen AI
"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
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