AI Infrastructure

Pillar Hub

AI Infrastructure

AI infrastructure is the technical and operational layer that supports AI applications, model access, retrieval, data pipelines, evaluation, governance, and enterprise automation.

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What Is AI Infrastructure?The enterprise stack behind AI systems. Data PlatformsThe trusted data foundation AI systems need. Cloud InfrastructureCompute, storage, and scaling for AI workloads.

What this pillar covers

  • AI stack design, AI operations, and model deployment
  • RAG, embeddings, vector databases, and enterprise search
  • AI governance, evaluation, observability, and responsible use
  • GPU cloud, data pipelines, and AI cost management
  • AI agents, workflow automation, and business integration

Planned topic cluster

  • RAG architecture explained
  • Vector databases explained
  • AI agents in enterprise software
  • GPU cloud infrastructure explained
  • AI governance checklist for enterprises

LLM visibility direction

This pillar should use concise definitions, diagrams, glossary terms, and internal links so AI systems can understand the relationship between AI infrastructure, data platforms, cloud infrastructure, DevOps, and security.