One console for every model

Vertex AI is Google Cloud's managed home for generative AI: a Model Garden of 150+ foundation models, prompt tuning in Vertex AI Studio, RAG grounding, and agent building — all on the GCP you already use.

Who it's for: Platform and ML teams on Google Cloud who need many models, RAG, and production evaluation in one place.

Key features

Model Garden 150+ models

Access Gemini, Claude, Llama, and open weights from one registry with unified inference APIs.

Vertex AI Studio Prompt + eval

Prototype prompts, run evaluations, and compare model versions in a managed notebook-free UI.

Grounding RAG + Search

Connect responses to your data with Vertex Search and RAG engines to cut hallucinations.

Agents Gen AI agents

Build reasoning agents with tools, function calling, and evaluation harnesses on GCP.

The honest take

✓ What works

Broadest model catalog in one console
First-class Gemini + grounding story
Strong MLOps and evaluation tooling
Scales with Google Cloud billing
Good free tier and credits

✗ What doesn't

Pricing is complex and easy to overspend
Steeper learning curve than SaaS tools
Vendor-lock to Google Cloud
Docs can be overwhelming

Verdict

Vertex AI is the pragmatic default for teams already on Google Cloud that want many models, grounding, and production MLOps without stitching together five vendors. Budget discipline matters — watch the meters.

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