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🏜️ MACROSLOW Home Lab Guide 2025: Introduction #18

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🏜️ MACROSLOW Home Lab Guide 2025: 3 Home Server Builds – Minimalist DUNES, Chimera GH200, Glastonbury Medical

Welcome to the MACROSLOW Home Lab Guide 2025, a 10-page blueprint for hobbyists, developers, and healthcare professionals to build three scalable 2048-AES-secured home servers inspired by supercomputers like Colossus 2. Powered by PROJECT DUNES and WebXOS, these systems scale from low-end legacy hardware to high-performance NVIDIA GH200 Grace Hopper Superchips, all using MAML (Markdown as Medium Language) for executable, encrypted workflows.

🌟 The 3 Home Server Builds

1. Minimalist DUNES 2048 SDK (~$200–$500)

  • Target: Entry-level quantum/AI experimentation on older or low-end systems.
  • Core: Legacy NVIDIA GPUs (GTX 1060+) or Jetson Nano + Raspberry Pi 4.
  • Use Case: Simulating 2–8 qubit quantum circuits, lightweight AI, IoT prototyping.
  • Features: DUNES SDK with Qiskit-Aer, PyTorch CPU fallback, MAML on old hardware.

2. Chimera 2048-AES SDK + GH200 Overclock (~$5K–$15K+)

  • Target: Max-capability AI/HPC homelab with supercomputer-grade performance.
  • Core: NVIDIA GH200 Grace Hopper (72 Arm cores + H100 GPU, 96GB HBM3e, NVLink-C2C).
  • Use Case: Training 70B+ LLMs, quantum-classical hybrid sims, real-time inference.
  • Features: Overclocked CUDA, 8TB/s coherent bandwidth, Colossus 2-inspired clustering.

3. Glastonbury Medical 2048 SDK (~$1K–$3K)

  • Target: Secure, local healthcare data processing for small clinics, physicians, and home health labs.
  • Core: Jetson AGX Orin or RTX 4000 + encrypted NVMe RAID + Pi 5 cluster.
  • Use Case: HIPAA-compliant medical imaging, patient data fusion, AI diagnostics.
  • Features: 2048-AES encryption, MAML medical workflows, BELUGA Agent for wearables.

🎯 Guide Scope

  • Hardware: From 3D-printed cases to 4U rackmounts, NVLink clustering, 10GbE networking.
  • Software: Unified DUNES/MAML stack across all 3 builds.
  • Settings: Home labs, professional offices, small medical practices.
  • Real-Time: Local inference, edge AI, secure data pipelines.

πŸš€ Why MACROSLOW 2025?

  • Supercomputer DNA: Scales Colossus 2’s 200K GPU architecture to 1–4 nodes.
  • Universal SDK: All 3 builds use DUNES 2048, Chimera, or Glastonbury SDK variants.
  • Quantum-Ready: Qiskit + CUDA for hybrid quantum-classical workloads.
  • Secure by Default: 2048-bit AES-equivalent encryption in every workflow.

πŸ“– Guide Structure

  • Page 2: Hardware Requirements (All 3 Builds)
  • Page 3: Software Stack Overview
  • Page 4: Assembly & Rackmount Guide
  • Page 5: Installation & Networking
  • Page 6: SDK Setup (DUNES/Chimera/Glastonbury)
  • Page 7: Edge & Medical IoT (Pi + BELUGA)
  • Page 8: Monitoring & Optimization
  • Page 9: Use Cases & Testing
  • Page 10: Troubleshooting & Scaling

πŸ› οΈ Prerequisites

  • Linux/Python basics
  • NVIDIA developer account
  • Screwdrivers, thermal paste, Cat6/10GbE cables

🌍 Join the DUNES Movement

Contribute at github.com/webxos/dunes
Contact: [email protected]

Copyright: Β© 2025 Webxos Technologies. MIT License.
From Legacy to GH200 β€” Build Your Future with MACROSLOW 2025! 🏜️

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