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+# Eyjafjallajökull 🔥❄️  
+*High-Performance Local AI Lab by Magnús Smárason*
+
+Eyjafjallajökull is a custom-built AI lab workstation designed for deep learning, model fine-tuning, synthetic data generation, and AI infrastructure prototyping. Built around dual NVIDIA RTX GPUs and a 24-core Intel CPU, the system is optimized for local-first workflows, data sovereignty, and rapid experimentation with large models.
+
+## 🔧 System Overview
+
+### 🖥️ Host Machine
+- **Hostname**: `MAGGI`
+- **OS**: [EndeavourOS](https://endeavouros.com) (Arch-based rolling release)
+- **Kernel**: `Linux 6.13.6-arch1-1`
+- **Chassis**: Custom Desktop Workstation
+- **Motherboard**: ASRock Z790 Taichi Lite
+
+### 🧠 CPU
+- **Model**: Intel® Core™ i9-14900K  
+- **Cores/Threads**: 24 cores / 32 threads  
+- **Max Frequency**: Up to 6.0 GHz  
+- **Cache**: 32 MB L2 / 36 MB L3  
+- **Virtualization**: VT-x
+
+### 🧬 Memory
+- **RAM**: 128 GB DDR5  
+- **Swap**: 8.8 GB  
+- **Available at boot**: ~112 GiB
+
+### 💽 Storage
+- **1 TB NVMe SSD (OS)** – Mounted at `/`
+- **1 TB NVMe SSD (Data/Experiments)** – Mounted separately
+- **4 TB HDD (Cold Storage)** – Mounted at `/mnt/data-slow`
+
+---
+
+## 🎮 GPU Configuration – Dual RTX Setup
+
+### 🔹 NVIDIA RTX 5090 *(Primary)*
+- Ada Lovelace Architecture  
+- ~32 GB GDDR7  
+- Estimated ~18,000+ CUDA cores
+
+### 🔹 NVIDIA RTX 4090 *(Secondary)*
+- 24 GB GDDR6X  
+- 16,384 CUDA cores
+
+> Combined: Over 70 TFLOPs FP32 performance – ideal for LLMs, diffusion models, reinforcement learning, and multi-GPU training.
+
+---
+
+## 🌐 Networking
+- **Ethernet (enp0s31f6)** – Active
+- **Wi-Fi (wlan0)** – Connected
+- **Docker Networks** – Multiple bridge interfaces for container orchestration
+
+---
+
+## 🧰 Running Services
+- `Docker`, `containerd`
+- `Gitea Actions Runner` (Local CI/CD)
+- `RealtimeKit`, `Avahi`, `Polkit`, `systemd` stack
+- Fully containerized experimentation environment
+
+---
+
+## ⚙️ System Details
+
+```bash
+CPU:    Intel Core i9-14900K (24 cores, 6.0 GHz)
+RAM:    128 GB DDR5
+GPUs:   RTX 5090 + RTX 4090 (dual GPU setup)
+Disk:   2 TB NVMe + 4 TB HDD
+OS:     EndeavourOS (Arch)
+Kernel: Linux 6.13.6-arch1-1