My Home Lab · Home Lab Explorers

My Home Lab

I design my home lab like a puzzle where all the pieces can be added or removed. When I use AI, I want to run local models when I can, and only use cloud models when it is needed.

Zo Computer, Prototyping. Runs cloud, and local models
MSI EdgeXpert - DGX Spark, AI Supercomputer, Local model serving
Mac Studio, M2 Max 32GB, Agent host, local embeddings
Mac Mini, M4 24GB, Agent host, local embeddings
MacBook Pro, M5 16GB, mobile, connectivity to the lab
HP Z2 G9, i9 64GB, 8GB VRAM, Workstation (dual boot) Windows/Ubuntu
Raspberry Pi, RPi 4 2GB, Always-on network node, VPN exit, subnet routing
Synology NAS
Tailscale, Mesh VPN - one private network across every machine

AI Models

DeepSeek V4.1 Flash, Cloud
qwen3.6-35b-a3b, Spark - local model serving
nemotron-3.5-lightning:30b-a3b, Spark - local model serving
text-embedding-nomic-embed-text-v1.5, LM Studio, on the computer that runs Agent Zero

Harnesses

Zo Computer, Cloud hosted, Prototyping
Hermes, A self-improving, open-source AI agent that runs persistently on your server or machine and remembers what it learns across sessions.
Agent Zero, A framework for building autonomous AI agents that can operate independently, learn, and execute tasks across various systems.

I worked in IT Operations and never used AI specifically, so this year I bought hardware for AI, to add to my home lab.

What am I working on?