How does the transition from Google AI Studio to Vertex AI work for Gemini prototype-to-production deployments?

Question

Accepted Answer

## Overview

The transition involves moving from a free, web-based experimentation tool to a secure, enterprise-grade production platform.

## Key Features

Vertex AI provides VPC-SC, CMEK, HIPAA, SOC 2, and GDPR compliance certifications.

## Technical Specifications

AI Studio uses the global endpoint. Vertex AI uses regional endpoints like us-central1-aiplatform.googleapis.com.

## How It Works

The workflow begins in AI Studio for prototyping, then migrates to Vertex AI for production with regional endpoints and IAM.

## Use Cases

## Limitations and Requirements

Production deployment requires additional engineering for logging, monitoring, error handling, and high-availability.

## Comparison to Alternatives

## Summary

In essence, the transition is a maturation process from an unmanaged sandbox to a fully governed production system.

Google Gemini