jerome
b671546622
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.
44 lines
1.8 KiB
Markdown
44 lines
1.8 KiB
Markdown
1|# 05 - AWS Cloud Infrastructure — Home
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2|**Purpose:** AWS architecture, networking, and cost optimization for AI workloads.
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3|
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4|## Overview
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5|
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6|This section covers our AWS cloud infrastructure setup for scalable AI services, including:
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7|- VPC networking architecture
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8|- EC2 instance optimization for GPU workloads
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9|- S3 data pipeline automation
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10|- Cost optimization strategies
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11|
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12|## Infrastructure Components
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13|
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14|### **AWS Architecture**
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15|- **US-East-1 (N. Virginia):** Primary production environment
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16|- **Multi-AZ deployment:** High availability for critical services
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17|- **VPC networking:** Isolated subnets for compute, storage, and monitoring
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18|
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19|### **Compute Resources**
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20|- **p4d.24xlarge:** A100-based instances for training
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21|- **g5.xlarge:** A10 instances for inference
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22|- **m5.large:** CPU-based instances for web services
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23|- **Spot instances:** Cost savings for non-critical workloads
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24|
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25|### **Storage**
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26|- **S3 buckets:** Model weights, datasets, backup archives
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27|- **EBS volumes:** High-performance storage for active VMs
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28|- **Glacier:** Cold storage for historical data
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29|
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30|## Cost Optimization
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31|
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32|- **Reserved Instances:** 1-3 year commitments for baseline workloads
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33|- **Spot Instances:** 70% savings for fault-tolerant tasks
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34|- **S3 Lifecycle Policies:** Automatic tiering to Glacier
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35|- **CloudWatch Alarms:** Budget alerts and anomaly detection
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36|
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37|## Related Documents
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38|
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39|- **[Qwen3.5-MoE Setup](../02\ -\ TECHNICAL\ INFRASTRUCTURE/04\ -\ Qwen3.5\ Model\ Setup/)** — Model deployment strategies
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41|---
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42|
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43|*Our AWS infrastructure supports our SMB AI services and agent deployments with maximum efficiency.*
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