Google Gemini

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

## 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.