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Vertex AI

Explore Vertex AI’s transition to Gemini Enterprise Agent Platform, with managed ML tools, model access, usage-based pricing and limited trial options.

Updated: October 25, 2026

Name	Vertex AI
Overview	Vertex AI is the former platform name used by Google Cloud for managed AI and machine-learning development, deployment and scaling. Google’s current documentation maps Vertex AI Platform to Gemini Enterprise Agent Platform. The platform continues to include managed training, inference, MLOps, AutoML and model access; this is a naming transition, not evidence that those capabilities have disappeared.
Key Features & Benefits	Unified AI Development: Develop, train, and deploy ML models with ease. AutoML: Build custom AI models without extensive coding. Model Garden: Access pre-trained AI models, including Gemini. MLOps & Pipelines: Automate workflows for reproducible and scalable AI. Agent Builder: Build conversational assistants and other agents using the current Agent Studio and related platform tools. Integration with Google Cloud Services: Connect with BigQuery, Dataflow and the renamed Gemini Enterprise Agent Platform Workbench, subject to setup, permissions and supported integrations.
Use Cases & Applications	Retail & eCommerce: Product recommendations, inventory forecasting. Healthcare & Life Sciences: Research workflows for diagnostics and genomics analysis; deployment requires appropriate validation and data-governance controls, not an assumed clinical approval. Finance & Banking: Fraud detection, risk assessment. Manufacturing: Predictive maintenance, quality control. Media & Entertainment: Automated content tagging, video analysis.
Who Uses?	Data Scientists & ML Engineers AI Researchers Enterprise AI Teams Developers & Software Engineers Businesses leveraging AI for automation
Pricing	Pricing remains usage-based and varies by service, model, compute resources, storage, training and prediction workload. Use the current platform pricing page and relevant model-specific rates; this is not one flat subscription. Limited free access is available, but not an unlimited permanent free tier for the whole platform. Eligible new users can try a curated set of APIs in express mode for up to 90 days within quotas, without billing details. The separate Google Cloud Free Trial provides $300 credit for 90 days and requires a payment method. Enabling billing changes eligibility and charges; confirm the offer for your account.
Tags	AI, Machine Learning, AutoML, MLOps, Cloud AI, Generative AI, Google Cloud AI, Model Training, AI Development, AI Infrastructure
App Available?	No standalone app, but accessible via Google Cloud Console and API

Choosing a workflow: Start with the task—training a model, running inference, building an agent or managing an ML pipeline—then check its current product name, region, quota and pricing unit. Model outputs still need validation. The old Vertex AI name remains useful for finding earlier documentation, but model availability and terms are service-specific.

Sources: Platform pricing; Current platform overview; Official name-change table; Express mode and free-trial distinctions.

Image context: The existing Google Cloud screenshot shows an earlier Vertex AI page, including a Gemini 2.0 Flash banner, a 160+ models claim and a $300 credit offer. Its capture date is unknown; those interface and catalog details are historical, and any current trial remains subject to the eligibility described above.

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