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.
2026-04-10 15:16:46 +00:00
parent 79887ffb59
commit b671546622
32 changed files with 2869 additions and 0 deletions
@@ -0,0 +1,86 @@
+     1|# 02 - TECHNICAL INFRASTRUCTURE — Overview
+     2|**Purpose:** Complete technical guide for Syslog infrastructure, GPU passthrough, and model deployment.
+     3|
+     4|## Infrastructure Components
+     5|
+     6|### **01 - Proxmox & VM Passthrough**
+     7|- GPU passthrough configuration (AMD/Intel)
+     8|- VM networking setup
+     9|- Resource allocation best practices
+    10|
+    11|### **02 - GPU Monitoring**
+    12|- Grafana dashboards for GPU telemetry
+    13|- ROCm monitoring setup
+    14|- Real-time performance tracking
+    15|
+    16|### **03 - AMD GPU Passthrough (Strix Halo)**
+    17|- Detailed AMD APU passthrough for host LLM access
+    18|- Vulkan driver configuration
+    19|- HIP SDK integration
+    20|
+    21|### **04 - Qwen3.5 Model Setup**
+    22|- Qwen3.5-MoE (Mixture of Experts) installation
+    23|- Vulkan backend optimization
+    24|- Production inference configuration
+    25|
+    26|### **05 - AWS Cloud Infrastructure**
+    27|- VPC and networking architecture
+    28|- EC2 instance configuration for AI workloads
+    29|- S3 data pipeline setup
+    30|- Cost optimization strategies
+    31|
+    32|## Deployment Standards
+    33|
+    34|- **GPU Access:** AMD Strix Halo for host inference, NVIDIA for training
+    35|- **Model Hosting:** Ollama local deployment @ 192.168.68.8:8080
+    36|- **Cloud:** AWS for scalable cloud workloads
+    37|- **Storage:** S3 for model weights and datasets
+    38|- **Monitoring:** Grafana + Prometheus for observability
+    39|
+    40|## Common Operations
+    41|
+    42|### Start Qwen3.5-MoE
+    43|```bash
+    44|ollama pull qwen3.5:250b-moe
+    45|ollama serve --model qwen3.5:250b-moe
+    46|```
+    47|
+    48|### Check GPU Status
+    49|```bash
+    50|# AMD
+    51|rocm-smi
+    52|watch -n 5 rocm-smi
+    53|
+    54|# NVIDIA
+    55|nvidia-smi
+    56|watch -n 5 nvidia-smi
+    57|```
+    58|
+    59|### Deploy New Agent
+    60|```bash
+    61|# Clone agent repository
+    62|git clone https://github.com/sysloggh/agent-template.git
+    63|cd agent-template
+    64|
+    65|# Configure environment
+    66|cp .env.example .env
+    67|# Edit .env with API keys and settings
+    68|
+    69|# Install dependencies
+    70|pip install -r requirements.txt
+    71|
+    72|# Deploy
+    73|source venv/bin/activate
+    74|python main.py
+    75|```
+    76|
+    77|## Related Documentation
+    78|
+    79|- [Business Strategy](../01\ -\ BUSINESS\ \&\ STRATEGY/00\ -\ Business Strategy Home.md)
+    80|- [AI Agents Framework](../03\ -\ AI\ AGENTS\ \&\ LEARNING/00\ -\ AI Agents Learning Home.md)
+    81|- [Operational Excellence](../05\ -\ OPERATIONAL\ EXCELLENCE/00\ -\ Operational Excellence Home.md)
+    82|
+    83|---
+    84|
+    85|*This section pairs implementation guides with their respective scripts for rapid deployment.*
+    86|