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 (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

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

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