System architecture
System Architecture Diagram – GX3 AI
This diagram illustrates the modular and intelligent architecture behind the GX3 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: GX3 AI Core Interface
GX3 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
3D Rendering
Cloud Gaming
GPU Packages
Second Layer: Core Utilities
Each core service operates independently and is AI-enhanced:
AI-Assisted Cloud Mining Offers cloud-based crypto mining optimized through smart coin selection, energy tuning, and automated performance adjustments.
3D Rendering Supports AI-generated model creation and GPU-accelerated rendering through text queries or file uploads.
Cloud Gaming Streams high-end video games to users via cloud GPUs, delivering low-latency, high- FPS gameplay on demand.
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 GX3 AI, turning powerful services into accessible tools for all users.
Fourth Layer: Cloud Infrastructure
All tasks initiated from GX3 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
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