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04 — AI Infrastructure Planning

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04 — AI Infrastructure Planning
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/home/csi/master/inbox/imports/notion-verify/staging/notion/Export-a01daa1a-664a-4975-9744-61a6104bc176/CSI Nexus тАФ Operating System/CSI AI Infrastructure & Business Automation Framew/04 тАФ AI Infrastructure Planning 3ab4d778395381d5a164ca8864d2bcc9.md
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Substantive AI architecture/reference document
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2026-08-12T01:17:17.623865
04-AI/04 — AI Infrastructure Planning.md

04 — AI Infrastructure Planning

Owner CSI Technology & Documentation Lead
Version 1.0
Status Draft
Review frequency Quarterly and after material change
Applicable environments CSI Lab, Development, Testing, Staging, Production, Disaster Recovery, Client Site

Required coverage

Include:

  • Capacity planning
  • Workload assessment
  • User count
  • Concurrent user count
  • Requests per minute
  • Token usage
  • Context window requirements
  • Inference workload
  • Embedding workload
  • RAG workload
  • Image generation workload
  • Voice workload
  • Video workload
  • Automation workload
  • ERP workload
  • Database workload
  • Storage growth
  • Backup growth
  • Network traffic
  • Power requirements
  • Cooling requirements
  • Future growth
  • Upgrade path

Create sizing categories for:

  • Basic office AI
  • Departmental AI
  • Multi-user AI
  • RAG server
  • Voice AI server
  • AI automation server
  • AI and ERP combined server
  • Small business
  • Medium business
  • Enterprise

For each category include:

  • Expected users
  • Expected concurrent users
  • CPU range
  • RAM range
  • GPU memory range
  • Storage range
  • Network requirements
  • UPS requirements
  • Recommended architecture
  • Limitations
  • Upgrade options

Do not recommend only one hardware model.

Explain reusable sizing principles.


Acceptance rule

This chapter becomes Active only after accuracy review, command or workflow testing where applicable, risk review, owner assignment, approval, and change-history entry.

Change history

Date Version Change
28 July 2026 1.0 Initial chapter brief created from the master framework.