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CEN
CEN
Framework
Framework
Next-Gen AI Orchestration
Next-Gen AI Orchestration
Modular, Hardware-Agnostic, and Ethically Governed AI Networks
Modular, Hardware-Agnostic, and Ethically Governed AI Networks
🔹 Core Features
🔹 Core Features
1. Node-Based AI Architecture
1. Node-Based AI Architecture
Drag-and-drop interface for building AI workflows.
Pre-defined expert NODES (NLP, Vision, Robotics, etc.).
Custom NODE creation for domain-specific tasks.
2. Hardware Flexibility
2. Hardware Flexibility
Edge to Cloud: Deploy NODES on devices from Jetson Nano to NVIDIA GB300 NVL72.
Automatic resource allocation based on hardware:
SMALL CEN NETWORK: Jetson Nano, RK3588S, Snapdragon 8 Elite.
CEN BUSINESS NETWORK: Jetson Orin Nano Series end Jetson AGX Thor Series.
CORPORATE CEN NETWORK: RTX PRO 5000, DGX H100.
CEN NETWORK RESEARCH CENTER: RTX 8000, NVIDIA HGXâ„¢.
Data Center: RTX 8000, NVIDIA GB300 NVL72.
   Real-time hardware metrics (VRAM, power, utilization).
3. NVIDIA Ecosystem Integration
3. NVIDIA Ecosystem Integration
- NGC Catalog: One-click import of optimized models (Llama 3, Nemotron, and 200 more).
- CUDA Acceleration: Seamless GPU offloading for high-performance tasks.
- Triton Inference Server: Scalable model deployment.
- Omniverse (beta): Multi-GPU simulation environments.
4. Dynamic Workflow Management
4. Dynamic Workflow Management
Visual scripting with NODE connections.
Version control for workflows (import/export as JSON).
Undo/Redo with full state history.
5. Ethical & Secure AI
5. Ethical & Secure AI
Built-in governance nodes for bias detection, explainability, and compliance.
Data privacy filters (on-device processing options).
Audit trails for all node decisions.
🔹 Deployment OptionsÂ
🔹 Deployment OptionsÂ
1. Local & Edge
1. Local & Edge
2. Cloud & Hybrid
2. Cloud & Hybrid
 3. Collaborative
 3. Collaborative
🔹 Use Case Modules Â
🔹 Use Case Modules Â
1. Local & Edge
1. Local & Edge
🔹 Deployment OptionsÂ
🔹 Deployment OptionsÂ
FRAMEWORK in Development...
FRAMEWORK in Development...
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