ModelRefs / Google Vertex AI — AI Glossary
Google Vertex AI — AI Glossary
Google Cloud's unified ML platform hosting Gemini, Imagen, and third-party models with MLOps tools for training and deployment.
Overview
Vertex AI provides Gemini API (including Gemini 1.5 Pro/Flash), Model Garden (third-party models), AutoML, Pipelines (Kubeflow-based), Feature Store, Model Registry, and Vertex AI Search. Gemini on Vertex offers enterprise SLAs, VPC-SC security, and multi-region deployment. The primary path for Google Cloud AI workloads.
Reference details
| Topic | infrastructure |
|---|---|
| Last reviewed | 2026-06-24 |
Related terms
Commonly confused with
Comparable with Bedrock and Azure's OpenAI service: a cloud's managed surface over foundation models plus the training and MLOps tooling around them. That second half is the difference — it is a full ML platform, not only a model gateway, so it competes with SageMaker as much as with a model API. Gemini is also reachable through a separate developer API with different quotas and terms.
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Frequently asked questions
What is Google Vertex AI?
Google Cloud's unified ML platform hosting Gemini, Imagen, and third-party models with MLOps tools for training and deployment.
What concepts are related to Google Vertex AI?
Closely related concepts include aws bedrock, azure openai, google gemini.