// The Local LLM Architecture With the rapid expansion of AI, I wanted the capabilities of a Large Language Model (LLM) without sending my data, network logs, or automation scripts out to a public cloud server. To solve this, I engineered a distributed, completely private AI architecture utilizing my existing home lab and PC hardware. The Hardware Split Running an LLM natively on a Raspberry Pi is incredibly slow due to hardware limitations.

## Operation: Network Sinkhole One of the most critical steps in securing any network—whether it is an enterprise environment or a home network—is controlling the DNS traffic. For my current home lab architecture, I wanted a lightweight, low-overhead solution to act as a network-wide ad blocker and security sinkhole. ### The Stack * **Hardware:** Raspberry Pi * **OS:** DietPi (chosen for its incredibly minimal footprint) * **DNS Sinkhole:** AdGuard Home