Platform Architecture

2.1 Core Components

The Optus AI platform is built on a robust architectural foundation that prioritizes scalability and performance. Our system integrates advanced AI training capabilities with user-friendly interfaces, enabling seamless agent creation and deployment.

The platform's architecture is designed to handle complex computational tasks while maintaining responsiveness and reliability. Each component is optimized for performance and scalability, ensuring that users can create and train AI agents efficiently regardless of their technical background.

2.2 Technical Infrastructure

At the heart of Optus AI lies a sophisticated technical infrastructure that powers all platform operations. Our system utilizes distributed computing resources to handle intensive training processes while maintaining optimal performance levels for all users.

Security and reliability are paramount in our infrastructure design. We implement multiple layers of security protocols and maintain redundant systems to ensure platform stability and data protection. Regular updates and optimizations ensure that our infrastructure evolves with technological advancements and user needs.

Component	Specifications
Computing Power	• 10+ NVIDIA A100 GPU Clusters • Edge Processing with TPU acceleration • 99.99% uptime guarantee
Core AI Models	• OptusCore Engine (Proprietary) • GPT-4 Integration • DALL-E 3 & Stable Diffusion XL • OptusNet for Agent Behavior
Performance	• Sub-100ms Latency • 100k+ Concurrent Agent Training • 1M+ API Calls per Second
Security	• Homomorphic Encryption • Zero-Knowledge Proofs • Hardware Security Modules (HSMs)
Architecture	• MongoDB + Elasticsearch • Kubernetes Orchestration • Auto-scaling Resources