Which Google Cloud service acts as the central hub for discovering and deploying generative AI models?

Prepare for the Generative AI Leader Exam with Google Cloud. Study with interactive flashcards and multiple choice questions. Each question offers hints and detailed explanations. Enhance your knowledge and excel in the exam!

The Vertex AI Model Garden is designed to serve as a central hub for discovering and deploying various generative AI models within the Google Cloud ecosystem. This service offers a user-friendly interface that simplifies the process of accessing a wide range of pre-trained models, fine-tuning them for specific tasks, and deploying them seamlessly into applications.

The Model Garden provides the flexibility needed to work with different types of generative models, allowing data scientists and engineers to experiment and innovate efficiently. It supports not just Google’s own models but also open-source models, ensuring a comprehensive resource for users looking to leverage generative AI capabilities.

In contrast, other options like Google App Engine, Google Kubernetes Engine, and Google Cloud Functions serve different purposes in the cloud infrastructure. Google App Engine focuses on building and deploying applications without managing the underlying infrastructure, Google Kubernetes Engine is primarily used for managing containerized applications, and Google Cloud Functions is a serverless solution for running small pieces of code without provisioning servers. None of these services provide the dedicated functionality that the Vertex AI Model Garden offers for generative AI models.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy