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examples/grid1/technical-specs/_category_.json

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+{
+    "label": "Technical Specs",
+    "position": 3,
+    "link": {
+        "type": "generated-index",
+        "description": "Technical aspects of the AIBox"
+      }
+}

examples/grid1/technical-specs/features_capabilities.md

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+---
+title: Features & Capabilities
+sidebar_position: 3
+---
+
+## Overview
+
+AIBox combines enterprise-grade hardware capabilities with flexible resource management, creating a powerful platform for AI development and deployment. Each feature is designed to meet the demanding needs of developers and researchers who require both raw computing power and precise control over their resources.
+
+## VM Management (CloudSlices)
+
+CloudSlices transforms your AIBox into a multi-tenant powerhouse, enabling you to run multiple isolated environments simultaneously. Unlike traditional virtualization, CloudSlices is optimized for AI workloads, ensuring minimal overhead and maximum GPU utilization.
+
+Each slice operates as a fully isolated virtual machine with guaranteed resources. The AIBox can be sliced into up to 8 virtual machines.
+
+The slicing system ensures resources are allocated efficiently while maintaining performance isolation between workloads. This means your critical training job won't be affected by other tasks running on the system.
+
+## GPU Resource Management
+
+Our GPU management system provides granular control while maintaining peak performance. Whether you're running a single large model or multiple smaller workloads, the system optimizes resource allocation automatically.
+
+## Network Connectivity
+
+The networking stack is built for both performance and security, integrating seamlessly with the Mycelium network, providing end-to-end encryption, and and Web gateways, allowing external connection to VM containers. The AI Box thus creates a robust foundation for distributed AI computing.
+
+## Security Features
+
+Security is implemented at every layer of the system without compromising performance:
+
+System Security:
+- Hardware-level isolation
+- Secure boot chain
+- Network segmentation
+
+Each feature has been carefully selected and implemented to provide both practical utility and enterprise-grade security, ensuring your AI workloads and data remain protected while maintaining full accessibility for authorized users.

examples/grid1/technical-specs/hardware_specifications.md

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+---
+title: Hardware Specifications
+sidebar_position: 1
+---
+
+### GPU Options
+
+At the heart of AIBox lies its GPU configuration, carefully selected for AI workloads. The AMD Radeon RX 7900 XTX provides an exceptional balance of performance, memory, and cost efficiency:
+
+| Model | VRAM | FP32 Performance | Memory Bandwidth |
+|-------|------|------------------|------------------|
+| RX 7900 XTX | 24GB | 61.6 TFLOPS | 960 GB/s |
+| Dual Config | 48GB | 123.2 TFLOPS | 1920 GB/s |
+
+The dual GPU configuration enables handling larger models and datasets that wouldn't fit in single-GPU memory, making it ideal for advanced AI research and development.
+
+### Memory & Storage
+
+AI workloads demand high-speed memory and storage. The AIBox configuration ensures your GPU computing power isn't bottlenecked by I/O limitations:
+
+Memory Configuration:
+- RAM: 64GB/128GB DDR5-4800
+- Storage: 2x 2TB NVMe SSDs (PCIe 4.0)
+
+This setup provides ample memory for large dataset preprocessing and fast storage access for model training and inference.
+
+### Cooling System
+
+Thermal management is crucial for sustained AI workloads. Our cooling solution focuses on maintaining consistent performance during extended operations:
+
+This cooling system allows for sustained maximum performance without thermal throttling, even during extended training sessions.
+
+### Power Supply
+
+Reliable power delivery is essential for system stability and performance.
+
+The AIBox power configuration ensures clean, stable power delivery under all operating conditions, with headroom for additional components or intense workloads.

examples/grid1/technical-specs/software_stack.md

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+---
+title: Software Stack
+sidebar_position: 2
+---
+
+### ThreeFold Zero-OS
+
+Zero-OS forms the foundation of AIBox's software architecture. Unlike traditional operating systems, it's a minimalist, security-focused platform optimized specifically for AI workloads and distributed computing.
+
+Key features:
+- Bare metal operating system with minimal overhead
+- Zero overhead virtualization
+- Secure boot process
+- Automated resource management
+
+This specialized operating system ensures maximum performance and security while eliminating unnecessary services and potential vulnerabilities.
+
+### Mycelium Network Integration
+
+The Mycelium Network integration transforms your AIBox from a standalone system into a node in a powerful distributed computing network based on peer-to-peer and end-to-end encrypted communication always choosing the shortest path.
+
+### Pre-installed AI Frameworks
+
+Your AIBox comes ready for development with a comprehensive AI software stack:
+
+- ROCm 5.7+ ML stack
+- PyTorch 2.1+ with GPU optimization
+- TensorFlow 2.14+
+- Pre-built container images