ec9659d0cb
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Major documentation cleanup after VLAN migration completion: - Archive 12 VLAN project docs to archive/vlan-migration/ - Archive 5 done WIP docs (VLAN proposals, AI stack, Fossorial, DNS backup) - Create standing reference docs 08-DNS-ARCHITECTURE and 09-TAILSCALE-VPN - Renumber docs to clean 01-09 sequence with merged CHANGELOG - Update all active docs from stale 192.168.31.x to current VLAN 10 IPs - Fix CSS1 (.10.9→.10.3) and ZX1 (.10.7→.10.4) IPs in hardware inventory - Clean 06-VLAN-DEVICE-ASSIGNMENT: remove migration columns/sections, fix VLAN 25 subnet Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
170 lines
3.8 KiB
Markdown
170 lines
3.8 KiB
Markdown
# Local AI Stack on Unraid
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**Status:** ✅ Deployed
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**Last Updated:** 2026-01-26
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---
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## Current Deployment
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| Component | Status | URL/Port |
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|-----------|--------|----------|
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| Ollama | ✅ Running | http://192.168.31.2:11434 |
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| Open WebUI | ✅ Running | http://192.168.31.2:3080 |
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| Intel GPU | ✅ Enabled | /dev/dri passthrough |
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### Models Installed
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| Model | Size | Type |
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|-------|------|------|
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| qwen2.5-coder:7b | 4.7 GB | Base coding LLM |
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| unraid-assistant | 4.7 GB | Custom model with infrastructure knowledge |
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---
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## Custom Model: unraid-assistant
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A fine-tuned system prompt model that knows the xtrm-lab.org infrastructure:
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### Knowledge Included
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- **Network topology**: All VLANs (10,20,25,30,31,35,40,50), IPs, gateways
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- **45+ Docker containers**: Names, images, ports, purposes
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- **RouterOS 7**: Commands, VLAN patterns, firewall rules
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- **Traefik**: Labels, routing, SSL configuration
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- **Authentik**: SSO middleware, provider setup
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- **External URLs**: All xtrm-lab.org services
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### Usage
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```bash
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# Terminal (SSH to Unraid)
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ai "How do I add a device to the IoT VLAN?"
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ai "What port is gitea running on?"
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ai "Show me Traefik labels for a new app with Authentik"
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# Interactive mode
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ai
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```
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### Rebuild Model
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If infrastructure changes, update and rebuild:
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```bash
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# Edit the Modelfile
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nano /mnt/user/appdata/ollama/Modelfile-unraid
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# Rebuild
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docker exec ollama ollama create unraid-assistant -f /root/.ollama/Modelfile-unraid
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```
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---
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## Hardware
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| Component | Spec |
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|-----------|------|
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| CPU | Intel N100 (4 cores) |
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| RAM | 16GB (shared with Docker) |
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| GPU | Intel UHD (iGPU via /dev/dri) |
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| Storage | 1.7TB free on array |
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### Performance
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- ~1 token/sec with 7B models
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- Responses take 30-90 seconds
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- Suitable for occasional use, not real-time chat
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---
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## Containers Stopped for RAM
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To free ~4.8GB for AI workloads:
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| Container | RAM Freed | Purpose |
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|-----------|-----------|---------|
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| karakeep | 1.68 GB | Bookmark manager |
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| unimus | 1.62 GB | Network backup |
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| homarr | 686 MB | Dashboard |
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| netdisco-web | 531 MB | Network discovery UI |
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| netdisco-backend | 291 MB | Network discovery |
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To restart if needed:
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```bash
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docker start karakeep unimus homarr netdisco-web netdisco-backend
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```
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---
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## Docker Configuration
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### Ollama
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```bash
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docker run -d \
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--name ollama \
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--restart unless-stopped \
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--device /dev/dri \
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-v /mnt/user/appdata/ollama:/root/.ollama \
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-p 11434:11434 \
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ollama/ollama
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```
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### Open WebUI
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```bash
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docker run -d \
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--name open-webui \
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--restart unless-stopped \
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-p 3080:8080 \
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-e OLLAMA_BASE_URL=http://192.168.31.2:11434 \
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-v /mnt/user/appdata/open-webui:/app/backend/data \
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ghcr.io/open-webui/open-webui:main
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```
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### AI Command Helper
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```bash
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# /usr/local/bin/ai
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#\!/bin/bash
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MODEL="unraid-assistant"
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if [ $# -eq 0 ]; then
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docker exec -it ollama ollama run $MODEL
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else
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docker exec ollama ollama run $MODEL "$*"
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fi
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```
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---
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## Open WebUI RAG Setup
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For detailed documentation beyond system prompt:
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1. Go to http://192.168.31.2:3080
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2. **Workspace** → **Knowledge** → **+ Create**
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3. Name: `Infrastructure`
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4. Upload docs from `/mnt/user/appdata/open-webui/docs/`
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Infrastructure docs are pre-copied to that location.
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---
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## Future: N5 Air (Ryzen AI 5 255) Upgrade
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Planning to migrate AI stack to N5 Air with Ryzen AI 5 255:
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| Metric | N100 (current) | Ryzen AI 5 255 |
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|--------|----------------|--------------|
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| Speed | ~1 tok/s | ~5-8 tok/s |
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| Max model | 7B | 14B-32B |
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| Response time | 30-90s | 5-15s |
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Features XDNA NPU (16 TOPS) for potential AI acceleration. DDR5 + 6c/12t CPU will significantly improve inference.
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---
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## Files
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| File | Purpose |
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|------|---------|
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| /mnt/user/appdata/ollama/Modelfile-unraid | Custom model definition |
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| /usr/local/bin/ai | Terminal helper command |
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| /mnt/user/appdata/open-webui/docs/ | RAG documents |
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