How Drizzle AI Systems Integrates with Vertex AI
Drizzle AI Systems helps you harness the full power of Google’s managed AI platform within your own secure, automated infrastructure. We use Terraform to provision and connect your GKE clusters to Vertex AI services, giving you seamless access to powerful models like Gemini. This hybrid approach allows you to leverage Google’s serverless inference and GenAI capabilities while maintaining full control, security, and observability over your custom applications and agents (like those built with the ADK) running on Kubernetes.
Key Features of the Integration
- Access to Gemini & Foundation Models: Get managed API access to Google’s state-of-the-art Gemini family (Pro and Flash) and over 200 other models via the Vertex AI Model Garden.
- Flexible Deployment Options: Deploy models as serverless, managed API endpoints or run custom, containerized workloads on Google Kubernetes Engine (GKE) for maximum control.
- Unified GenAI Platform: Leverage an end-to-end platform for the entire GenAI lifecycle, from data prep and tuning to production monitoring and MLOps.
- Agent Development Kit (ADK): Build and deploy enterprise-grade AI agents, connecting them to your data and deploying them on GKE for scalable operations.
- Powerful Vertex AI SDK: Integrate and automate your AI workflows using the Vertex AI SDK for Python to programmatically build, train, and deploy your GenAI applications.
Contact us to learn more about Drizzle AI Systems
Vertex AI
AI & ML Tooling
Leverage Google Cloud's end-to-end MLOps platform to build, deploy, and scale GenAI applications with Vertex AI and Google's Gemini models.
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