Enhancing Enterprise AI: TEN Framework & OCI-Based Architecture

Overview

This article explores the deployment of a TEN (Trusted Enterprise Network) framework integrated with enterprise AI capabilities. We will analyze two architectures, detailing each component, their interactions, and how they function together. Additionally, we will provide multiple real-world use cases where these architectures can be effectively implemented, along with a comparison between the two approaches. Security considerations, performance aspects, and model optimization strategies will also be discussed.

Role of TEN Framework

The TEN Framework plays a crucial role in enabling a secure and seamless connection between enterprise AI workloads and cloud-based AI services. It facilitates reliable data exchange, enhances security measures, and optimizes AI model performance across hybrid environments.

Architecture 1: OCI-based AI Deployment

Components

• On-Premises Admins — Manage and configure network access.
• Site-to-Site VPN — Ensures secure connectivity between on-premises and cloud resources.
• DRG (Dynamic Routing Gateway) — Facilitates communication between cloud and on-premises infrastructure.