Listen: Vertex AI
Google Cloud's managed platform for running, tuning and serving models, and the enterprise route to the Gemini API, with grounding, batch prediction, tuning and a model garden.
Transcript
Vertex AI is Google Cloud’s enterprise platform for running, tuning, and serving artificial intelligence models. While it gives you access to the same Gemini models as Google AI Studio, Vertex AI adds the essential controls needed for a production environment. This includes private networking, regional data residency, and project-level access management.
What sets Vertex AI apart is its advanced toolkit. You can ground your AI requests using Google Search or your own private data stores, meaning the model answers from real, retrieved sources instead of relying solely on its memory. It also supports batch predictions for large offline jobs at a lower cost, tools for fine-tuning, and a diverse model garden featuring Google’s own models alongside third-party options.
Because of these precise controls, Vertex AI is a powerful tool for research. Engineers can run the exact same prompt with search grounding turned on and off, compare the token probabilities, and measure the results. This controlled setup makes it possible to analyze what a model recalls from its training versus what it retrieves live, which is the core concept behind systems like Tree Walker.