5. System architecture

System Architecture Diagram – GX4 AI This diagram illustrates the modular and intelligent architecture behind the GX4 AI platform. It shows how users interact with the system, how services are powered and optimized, and how GPU resources are allocated through layered infrastructure and AI integration. Top Layer: GX4 AI Core Interface • GX4 AI: The central platform and user interface. This is where users interact with all services through a unified dashboard. It manages access control, task initiation, and usage monitoring for: o AI-Assisted Cloud Mining o 3D Rendering o Cloud Gaming

Second Layer: Core Utilities Each core service operates independently and is AI-enhanced:

  1. AI-Assisted Cloud Mining Offers cloud-based crypto mining optimized through smart coin selection, energy tuning, and automated performance adjustments.

  2. 3D Rendering Supports AI-generated model creation and GPU-accelerated rendering through text queries or file uploads.

  3. Cloud Gaming Streams high-end video games to users via cloud GPUs, delivering low-latency, highFPS gameplay on demand.

  4. GPU Packages Allows users to rent GPU power for custom use cases (e.g., AI training, simulations) through flexible hourly plans. Third Layer: AI Integration Each utility directly connects to an AI Integration module. These modules: • Automate decision-making (e.g., selecting the best GPU or blockchain). • Optimize performance and energy usage. • Minimize human intervention and technical complexity. AI integration is the core differentiator of GX4 AI, turning powerful services into accessible tools for all users.

Fourth Layer: Cloud Infrastructure All tasks initiated from GX4 AI flow into a shared cloud infrastructure layer. This layer: • Manages dynamic provisioning of compute resources. • Handles data routing and task isolation. • Ensures load balancing and operational reliability. The diagram shows this as a bridge between AI-optimized services and the physical GPU layer. Fikh Layer: GPU Hardware Layer At the bottom of the architecture, GPU resources are provisioned from a pool of highperformance units including:

• NVIDIA RTX 3060, 3080, and 4090 • Each GPU is utilized according to the user's task complexity and service tier. These GPUs execute rendering, mining, gaming, or compute tasks and return results to the user interface. Additional Cloud Integration Modules The cloud infrastructure is surrounded by Cloud Integration nodes, which: • Interface with external systems, APIs, or third-party services. • Support scalability, updates, and data exchange. • Allow GX4 AI to connect seamlessly with wallets, game libraries, AI engines, and blockchain networks. Summary This layered architecture ensures GX4 AI is: • Highly scalable • AI-automated • Cost-efficient • User-friendly It merges the power of GPUs, the scalability of the cloud, and the intelligence of AI— delivering industrial-grade performance in an accessible, all-in-one platform

Last updated