PremAI vs Google Vertex AI: Privacy, Flexibility, and Cost Compared

Google Vertex AI is growing fast in enterprise. Gemini models, Vertex AI Studio for prompt design, deep GCP integration. For cloud-native teams on Google Cloud, it’s a compelling platform. Then you ask the hard question: Can I run this on my own infrastructure? Google’s answer is no. Vertex AI is cloud-only. Your data goes to Google. Your models run on Google. Your costs scale with Google’s pricing. There is no on-premise option. There is no air-gapped deployment. There is no “run it yourself.” For many enterprises, this is fine. GCP handles the infrastructure. You focus on building applications. But for teams with data sovereignty requirements, on-premise mandates, or cost concerns at high volume, that’s a significant limitation. This comparison covers both platforms with their actual tradeoffs. Vertex AI has real strengths. PremAI has different strengths. Your requirements determine which fits. Platform Overview Google Vertex AI: Google’s unified ML platform offering Gemini models (1