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Infrastructure & Architecture

Infrastructure & Architecture

Foundation & Build β€” the physical and logical base that everything else in an AI system runs on.

Role of this domain

Infrastructure & Architecture is the Foundation of the five-domain framework. No matter how good your prompting or orchestration strategy is, the whole system becomes unstable if the infrastructure underneath it is weak.

    flowchart LR
    A["πŸ— Infrastructure<br/>Foundation"] --> B["βš™οΈ Orchestration<br/>Engine"]
    B --> C["🀝 Interface<br/>Interaction"]
    B --> D["πŸ“Š Business Impact<br/>Value"]
    E["πŸ›‘ Governance<br/>Control"] --> B

    style A fill:#2563EB,stroke:#1D4ED8,color:#fff
    style B fill:#7C3AED,stroke:#6D28D9,color:#fff
    style C fill:#16A34A,stroke:#15803D,color:#fff
    style D fill:#EA580C,stroke:#C2410C,color:#fff
    style E fill:#0891B2,stroke:#0E7490,color:#fff
  

Core components

ComponentDescription
Compute resourcesGPU/NPU servers, cloud infrastructure optimization
Model selection & tuningChoosing the right LLM for the job, fine-tuning, quantization
AI model benchmarkingQuantitative analysis of intelligence, speed, and price based on Artificial Analysis
Data pipelinesReal-time data collection and cleaning for AI training and inference
Vector DBOptimizing vector databases for semantic search
MCP serversContext management based on the Model Context Protocol

Core strategy: the model mix

The goal is not simply to “own” models β€” it’s to run a model mix strategy matched to specific purposes.

  • Large models: complex reasoning, creative work
  • Small models: fast responses, cost-efficient classification and summarization
  • Specialized models: domain-specific tasks such as code generation, image understanding, and speech processing

Health check questions

“Does our infrastructure layer run a model-mix strategy that actually fits its purposes?”

  • Is GPU/cloud spend optimized within budget?
  • Does vector DB response time meet SLA in production?
  • Have we chosen the right strategy among fine-tuning, prompt engineering, and RAG?
  • Are MCP servers providing context reliably?