Deployment

Deploy your configured AI models to production with robust monitoring and scaling capabilities.

Overview

Centrify's deployment features allow you to take your configured AI models from development to production with confidence. Our platform handles the infrastructure, scaling, and monitoring, so you can focus on building great AI applications.

Deployment Options

• Managed Deployments: Deploy your models on Centrify's infrastructure for a fully managed experience with automatic scaling and high availability.
• Private Deployments: Deploy models in your own cloud environment or on-premises infrastructure for maximum control and data privacy.
• Hybrid Deployments: Combine managed and private deployments to optimize for cost, performance, and compliance requirements.

Key Features

• One-Click Deployment: Deploy your configured models with a single click from the dashboard.
• Traffic Management: Control how traffic is routed to different model versions, enabling A/B testing and gradual rollouts.
• Auto-Scaling: Automatically scale your deployments based on traffic patterns and usage requirements.
• Monitoring and Alerts: Track performance metrics and receive alerts when issues arise.
• Rollback Capabilities: Quickly revert to previous versions if problems are detected.

Getting Started

To deploy your AI models with Centrify, navigate to the Deployment section in your project dashboard. From there, you can configure your deployment settings, select your target environment, and launch your models into production.