ID: AXO-AI-ONPREM
DATE: 2026-01-30
LOCATION: Private Server Room (Air-Gapped/LAN)
ZONING_ZONE: Data Sovereignty (IP Protection Level 5)
> QUERY: "Cost, hardware, and timeframe for on-premise AI system (Image + Code); Staff Competency Audit requirements."
1. SYSTEMS ARCHITECTURE (THE STACK)
Agent performed a spec analysis for a Private Multi-Modal Inference Server.
- Constraint Identified: Cloud-based AI (Midjourney, ChatGPT) exposes client IP to third-party training data, violating strict NDAs.
- The Conflict: High upfront CapEx (Capital Expenditure) vs. the need for low-latency image generation and secure code auditing.
- The Agentic Fix: Deploy a Dual-GPU Workstation Node running:
1. Image: ComfyUI with Stable Diffusion XL (Architecture LoRAs).
2. Code: Ollama serving DeepSeek-Coder-33B for internal script analysis (Python/Dynamo).
3. Interface: Open WebUI (Chat) + GitLab (Repo) behind a local VPN.
2. HUMAN CAPITAL AUDIT
> STAFF DATA: Required "Digital Maturity Index" Audit ($2,500). Assesses proficiency in Rhino/Revit API vs. Manual Drafting.
> LATENCY: Expect 3-week "Friction Period" where senior staff resist prompt-based workflows.
[LOCAL SERVER ARCHITECTURE]
___________________________
| [GPU NODE 01] [GPU 02] | <-- 2x RTX 4090 (48GB VRAM)
| (IMAGE GEN) (CODE LLM) |
|___________________________|
| |
______|__________|______ <-- LOCAL LAN (NO INTERNET REQ)
| |
[WS-01] [WS-05]
(Jr. Arch) (BIM Mgr)
3. BUDGETARY FORECAST (ESTIMATES)
| ITEM |
SPEC / DETAIL |
COST (USD) |
| HARDWARE |
1x Server (Threadripper, 128GB RAM, 2x 4090) |
$18,500 |
| SOFTWARE |
Open Source Stack Config + Custom UI |
$4,500 |
| TRAINING |
2-Day Workshop + "Prompt Library" Creation |
$6,000 |
| MAINTENANCE |
Monthly Retainer (Updates/Model Swaps) |
$850 / mo |
| TOTAL CAPEX |
Timeframe: 4 - 6 Weeks |
~$29,000 |
CLOUD SUBSCRIPTIONS (3YR)
$45,000+ (Risk of Leak)
OWNED INFRASTRUCTURE
$29,000 (Asset)
> DOES THIS MATCH YOUR CAPEX LIMITS?
[ INITIATE HARDWARE PROCUREMENT ]