Google Vertex AI
Google Cloud's unified ML platform — train models, deploy foundation models (Gemini, Imagen), and run MLOps pipelines with native BigQuery and GCP integration.
Overview
Google Vertex AI is the unified ML platform on Google Cloud — it brings together model training, deployment, feature engineering, MLOps, and foundation model access (Gemini, Imagen, Codey) under one managed service with Google's data infrastructure underneath. Data science teams at Google Cloud shops use it to build and deploy both custom ML models and generative AI applications without managing separate infrastructure for each. The Vertex AI Studio lets you prototype with foundation models through a UI; the API and SDK handle production deployment. Integrates natively with BigQuery, Cloud Storage, and other GCP services.
Key Features
- Gemini and Imagen access
- Model training
- AutoML
- Feature Store
- Model monitoring
- BigQuery integration
- • Native GCP integration means no cross-cloud data movement for Google Cloud teams
- • Foundation model access + custom ML training in one platform
- • AutoML reduces time-to-deployment for teams without deep ML expertise
- • Google Cloud knowledge required to configure effectively
- • Pricing complexity across compute, storage, and model calls