Gemini Enterprise Agent Platform logo

Gemini Enterprise Agent Platform

Freemium
访问

Gemini Enterprise Agent Platform is Google Cloud’s platform for developers and technical teams to build, deploy, scale, govern, and optimize enterprise AI agents and generative AI applications using enterprise data.

什么是 Gemini Enterprise Agent Platform?

Gemini Enterprise Agent Platform, formerly Vertex AI, is Google Cloud’s platform for developers and technical teams building enterprise AI agents and generative AI applications. It combines agent development, model access, training, deployment, evaluation, and MLOps capabilities in one environment.

The platform supports both managed and customizable workflows. Teams can design agents with Agent Studio, discover and adapt models in Model Garden, or use custom training with their preferred frameworks and code. Developers can build production agents with frameworks such as the Agent Development Kit and connect applications to enterprise data.

Beyond agent creation, Agent Platform provides tooling for model evaluation, pipelines, model registry, feature management, prediction, and monitoring for input skew and drift. Custom-built agents can be registered, managed, and governed through the Gemini Enterprise app.

Gemini Enterprise Agent Platform 能做什么?

Multiple agent-building paths

Use Agent Studio for generative AI model evaluation, tuning, and deployment; Model Garden to discover and customize available models and assets; or custom training for control over frameworks, training code, and hyperparameter options.

Broad model and tool selection

Model Garden provides access to Google multimodal models, third-party model families, and selected open models and assets, with model availability depending on the platform catalog.

Integrated data science environment

Agent Platform notebooks, including Colab Enterprise and Workbench, are natively integrated with BigQuery to support work across data and AI workloads.

MLOps lifecycle tooling

Data scientists and ML engineers can use Model Evaluation, Pipelines, Model Registry, Feature Store, Training and Prediction, and monitoring for model input skew and drift.

Production agent development

Developers can build, customize, and fine-tune sophisticated agents with frameworks such as the Agent Development Kit, then deploy AI models and applications in a platform designed to scale with workloads.

Agent management and governance

Custom-built agents can be securely registered, managed, and governed through the Gemini Enterprise app as they are introduced across an organization.

使用场景

“Build production AI agents”

Developers can create enterprise agents and generative AI applications, customize models for specific requirements, and deploy them for application and workflow automation.

“Automate data engineering workflows”

Data engineers can use agents to assist with tasks such as pipeline creation and maintenance, data cleaning, labeling, and other repetitive parts of the data lifecycle.

“Support data science and model operations”

Data scientists and ML engineers can streamline data wrangling, feature engineering, model evaluation, training, deployment, and ongoing monitoring using the platform’s MLOps tools.

“Provide conversational analytics”

Analysts and business users can ask questions about data in natural language, generate insights and visualizations, and reduce reliance on specialized coding for routine analysis.

“Manage agents across an organization”

Technical teams can register, manage, and govern custom-built agents through the Gemini Enterprise app as agents move from individual development into broader organizational use.

常见问题

What is Gemini Enterprise Agent Platform?

It is Google Cloud’s platform for building, deploying, scaling, governing, and optimizing enterprise AI agents and generative AI applications. It was formerly known as Vertex AI.

How can developers build agents on the platform?

Developers can use Agent Studio, explore and customize models through Model Garden, or use custom training with a preferred ML framework, their own training code, and selected hyperparameter options. The platform also supports frameworks such as the Agent Development Kit.

Does the platform support machine learning operations?

Yes. It includes tools for model evaluation, pipelines, model registry, feature management, training, prediction, and monitoring for input skew and drift.

How are custom-built agents managed after development?

Custom-built agents can be securely registered, managed, and governed through the Gemini Enterprise app.

How is Gemini Enterprise Agent Platform priced?

Google Cloud uses pay-as-you-go pricing, so costs vary by the services and usage involved. New customers can receive up to $300 in credits to try Agent Platform and other Google Cloud products; the sources do not provide a fixed product-specific rate.

快速信息

Product type
Enterprise AI agent and machine learning platform
Provider
Google Cloud
Former name
Vertex AI
Primary users
Developers, data scientists, ML engineers, and technical teams
Key workflows
Agent development, model training and deployment, MLOps, data analytics, and agent governance
Pricing model
Google Cloud pay-as-you-go; new customers can receive up to $300 in credits

Gemini Enterprise Agent Platform 替代品

Gemini Enterprise Agent Platform logo

Gemini Enterprise Agent Platform

cloud.google.com

Gemini Enterprise Agent Platform, formerly Vertex AI, is Google Cloud’s platform for developers and technical teams to build, deploy, govern, and optimize AI agents, generative AI applications, and machine learning models.

Kopai logo

Kopai

usekopai.com

Kopai is a hosted platform for building, running, publishing, and monetizing domain-specific AI agents. It supports internal team agents, marketplace listings, and deployment to a creator’s own site through live APIs.

Context logo

Context

context.ai

Context 是企业级 AI 智能体平台,可在客户基础设施上构建、部署和改进智能体,并提供工作区、运行时、上下文、评估工具、连接器及基于 IdP 的访问控制。

OneReach.ai logo

OneReach.ai

onereach.ai

OneReach.ai GSX 是面向企业的智能体编排平台,可大规模构建、运行和治理 AI 智能体。

Octomind Cloud logo

Octomind Cloud

octomind.run

Octomind Cloud runs AI agents on persistent cloud machines for research, writing, web work, software development, and scheduled routines. Users give instructions in plain language and can receive results through the web panel, Telegram, WhatsApp, or Slack.

Stagehand logo

Stagehand

www.stagehand.dev

Stagehand is an SDK for building browser agents with Playwright-style APIs, natural-language actions, structured extraction, and self-healing behavior. It supports TypeScript, Python, and Go for agents that need to operate web pages with browser-level control.