selfhosted

Comprehensive AI homelab documentation: defines goals, selects hardware (GPUs/CPUs, storage, networking), and details OS setup, drivers, containers (Docker/Kubernetes), and virtualization. Guides deploying LLMs and ML services, managing data pipelines and backups, securing access, monitoring, automation, benchmarking, cost tracking, and troubleshooting—with reproducible configs, scripts, and lessons learned.