Three machines, one endpoint: how the local LLM fleet actually runs
A dual-3090 server with six 128k slots, a DGX Spark for everything over 128k, a laptop faster than both, and a 200-line router that keeps every client on the old port.
Homelab + AI + Self-hosting
I build things and write about it
Tinkering with servers, running local AI models, and connecting it all together. I self-host everything I can and document the journey here.
Say hi01 What I do
Things I enjoy building
Mostly servers, AI setups, and whatever rabbit hole I fall into next.
Homelab & Servers
Proxmox clusters, LXC containers, VMs for everything. I like building infrastructure that just runs, even when I forget about it for weeks. Multiple nodes at home and in data centers, all connected through a mesh VPN.
Local AI
Running LLMs and image generation on my own hardware. No cloud APIs, no per-token billing. Just a GPU doing its thing on a shelf in my room.
Self-hosted Everything
Web hosting, email, DNS, git repos, CI runners. If there's a self-hosted alternative, I'm probably running it somewhere.
Automation
Pipelines, deployment scripts, and AI agents that do the boring stuff so I don't have to. Still tweaking, always tweaking.
Security
Encrypted tunnels everywhere, key-only SSH, firewall rules, monitoring. Not because I'm paranoid, but because getting hacked would be really annoying.
10+
Years tinkering
Multi
Server locations
100%
Self-hosted
24/7
Always running
02 Projects
Stuff I'm working on
Side projects, tools I built for myself, and things that started as "this should be quick" and never were.
- ClawForge An AI-powered server management tool. Think hosting panel, but the AI does the work instead of you clicking buttons.
- AI Homelab Local LLM inference and image generation running on my own GPU. All my servers can use it through a mesh VPN.
- Web Hosting Running sites and services for myself and a few others. Mostly WordPress, some custom apps, all self-managed.
- Home Automation Monitoring dashboards, automated backups, alerting. Making the infrastructure take care of itself.
- Open Source Contributing back when I can. Building tools I wish existed, sharing configs that took forever to get right.
03 The Stack
What's running under the hood
A mix of dedicated servers, mini PCs, and a GPU workstation, all stitched together with Tailscale.
Compute
Proxmox VE clusters with a bunch of VMs and containers. Dedicated servers in data centers plus a few machines at home. Overkill for one person, but that's kind of the point.
AI Hardware
An RTX 3090 running Ollama and ComfyUI, serving local AI to every machine on the network. No cloud, no API keys, no monthly bills.
Networking
Tailscale mesh VPN connecting everything. Home, data center, laptop, phone. Every connection encrypted, every device reachable by name.
Monitoring
Dashboards, alerting, automated backups. I get a notification before things break, and snapshots so I can roll back when I inevitably break something myself.
04 Latest
From the blog
Write-ups about things I've built, broken, and eventually fixed.
Four agents, one cache: why my LLM server killed every session at once
My coding agent kept dying with Error: Context size has been exceeded. Its status line said 16.7 % of 262k, so about 44,000 tokens. Auto-compaction was switched on. By…
Your AI Team Without the Cloud
One work machine becomes an office: local language model as brain, agent harness as workforce, skills and notes as company knowledge. Five parts, three brains, zero cloud.
05 Contact
Get in touch
Based in Europe. Always happy to chat about homelab stuff, AI, or whatever you're building.