Milestone 1: Documentation Foundation Structure
Created complete documentation structure with: • Root README.md with repository overview • Documentation directory structure (01-05 + templates) • Migrated content from public repository • New operational documentation • Comprehensive templates for business workflows Sections: 1. 01-business-strategy/ - Business vision, market analysis, financials 2. 02-technical-architecture/ - Infrastructure, AI agents, deployment 3. 03-operations/ - Client onboarding, support processes 4. 04-customer-portal/ - Placeholder for client-facing docs 5. 05-development/ - Placeholder for dev standards 6. templates/ - 5 reusable business templates This commit establishes the foundation for the repository reorganization. Content review will be conducted separately.
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1|# 02 - GPU Monitoring — Home
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2|**Purpose:** Grafana dashboards and monitoring setup for GPU telemetry.
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3|
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4|## Contents
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5|
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6|This directory contains:
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7|- Grafana dashboard configuration
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8|- ROCm monitoring setup
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9|- Real-time performance tracking
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10|
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11|### Monitoring Features
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12|
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13|- **Real-time GPU utilization:** Track VRAM, compute, and memory usage
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14|- **Temperature monitoring:** Alert on overheating conditions
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15|- **Performance metrics:** Core clock, power consumption, fan speeds
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16|- **Historical data:** Grafana time-series graphs for trend analysis
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17|
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18|## Quick Start
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19|
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20|### Grafana Dashboard Setup
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21|
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22|```bash
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23|# Install Grafana
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24|sudo apt install grafana
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25|
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26|# Start Grafana service
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27|systemctl start grafana-server
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28|
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29|# Access dashboard
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30|# http://localhost:3000 (admin/admin)
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31|```
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32|
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33|### ROCm Monitoring
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34|
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35|```bash
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36|# Install ROCm health monitoring tools
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37|sudo apt install rocminfo rocm-smi
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38|
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39|# Real-time monitoring
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40|watch -n 1 rocm-smi
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41|```
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42|
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43|## Related Infrastructure
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44|
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45|- **[AMD GPU Passthrough](../03\ -\ AMD\ GPU\ Passthrough/)** — Hardware configuration
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46|- **[Qwen3.5 Model Setup](../04\ -\ Qwen3.5\ Model\ Setup/)** — Model deployment
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47|
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48|---
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49|
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50|*Monitor your GPUs 24/7 to ensure optimal performance for LLM inference workloads.*
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51|
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