diff --git a/.obsidian/workspace.json b/.obsidian/workspace.json
index 02fa180..ebb2d2e 100644
--- a/.obsidian/workspace.json
+++ b/.obsidian/workspace.json
@@ -210,8 +210,9 @@
       "templater-obsidian:Templater": false
     }
   },
-  "active": "26813e16e829b798",
+  "active": "7066c9273c6fb936",
   "lastOpenFiles": [
+    "100 inbox/Local LLM Infrastructure & Qwen2.5 Deployment.md",
     "010 inbox/Email & DNS Setup — Domains, Mailboxes & Records.md",
     "300 areas/360 Dev-Ops Network Computers/Email & DNS Setup — Domains, Mailboxes & Records.md",
     "000 daily/Daily Notes and To Do.md",
@@ -239,7 +240,6 @@
     "Clippings/alibabaopen-code-review Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, S.md",
     "300 areas/395 AI Tools to try/Tools to try with AI.md",
     "200 projects/260 Ideas to Build Create Make/Artemis on GrapheneOS Pixel Mobile.md",
-    "400 Personal Family/460 Family Archive/Wilsons Prom Camp.md",
     "010 inbox/_WATCHER",
     "300 areas/355 AI Research and Techniques",
     "300 areas/355 Ai Research and Techniques",
diff --git a/100 inbox/Local LLM Infrastructure & Qwen2.5 Deployment.md b/100 inbox/Local LLM Infrastructure & Qwen2.5 Deployment.md
new file mode 100644
index 0000000..5cf5a56
--- /dev/null
+++ b/100 inbox/Local LLM Infrastructure & Qwen2.5 Deployment.md	
@@ -0,0 +1,54 @@
+---
+created: 2026-10-12 14:07
+modified: 2026-10-12 14:07
+type: note
+tags: [projects/local-llm, infra, ollama, qwen2.5]
+aliases: [Local LLM Infrastructure, Qwen2.5 Deployment]
+---
+# [[Local LLM Infrastructure & Qwen2.5 Deployment]]
+
+## 📌 Executive Summary
+This project establishes an **on-demand local LLM inference node** on workstation **`sam-4screen-desktop` (`192.168.20.27`)**. It leverages the machine's 64 GB DDR4 RAM and 4-core Intel i7 CPU to run 14-billion parameter models locally (**Qwen2.5-Coder-14B** and **Qwen2.5-14B-Instruct**) without consuming idle background resources or requiring dedicated server GPUs.
+
+---
+
+## 🖥️ System Architecture & Machine Roles
+
+* **Workstation `.27` (`sam-4screen-desktop`):**
+  * **Role:** Primary Local LLM Host.
+  * **Hardware:** Intel i7-7700K CPU + **64 GB DDR4 RAM** (~32 GB available for models).
+  * **Inference Strategy:** **Native CPU execution** using AVX2 instructions (bypasses Docker virtualization overhead for maximum CPU performance).
+  * **Auto-Unload:** Idle models automatically unload from RAM after 5 minutes (`OLLAMA_KEEP_ALIVE=5m`).
+
+* **Gateway Node `.13` (`nixos-desktop`):**
+  * **Role:** Network Gateway & OmniRoute Router.
+  * **Rule:** **Strictly no LLM inference runs on `.13`** due to memory constraints.
+
+---
+
+## 🛠️ On-Demand Management Commands
+
+Simple terminal commands manage the Ollama service on `.27`:
+
+| Command | Action | Output / Behavior |
+| :--- | :--- | :--- |
+| `ai-on` | Starts local Ollama service | Binds to `0.0.0.0:11434` for local & LAN access. |
+| `ai-off` | Stops local Ollama service | Immediately frees RAM and CPU cycles. |
+| `ai-status` | Displays service status | Reports systemd unit state and port listeners. |
+
+---
+
+## 🤖 Installed Local Models
+
+| Model | Size | Parameter Quantization | Primary Purpose |
+| :--- | :--- | :--- | :--- |
+| `qwen2.5-coder:14b` | 9.0 GB | Q4_K_M GGUF | Offline code generation, refactoring, and code review. |
+| `qwen2.5:14b` | 9.0 GB | Q4_K_M GGUF | General drafting, reasoning, and context analysis. |
+
+---
+
+## 💼 Skills & Technical Concepts Demonstrated
+
+* **Linux System Administration:** Systemd user unit management, environment variables, network binding (`0.0.0.0`), process lifecycle control.
+* **Local AI & GGUF Inference:** CPU-optimized LLM deployment, RAM budgeting, model quantization trade-offs.
+* **Edge & Hybrid Architecture:** On-demand local processing paired with cloud API fallback mechanisms.