This solo builder runs 24/7 local AI on his own hardware | Alex Finn
About this episode
Alex Finn discusses his ambitious local AI setup and the intricacies of managing hardware for AI tools.
Alex Finn is an AI builder, YouTuber, and the creator of Vibe Code Academy, a community for people learning to build with AI tools. He runs one of the most ambitious local AI setups I’ve come across: three Mac Studio 512 GB machines, a DGX Spark, and a custom RTX 5090 build, all coordinated through a fleet dashboard he built himself. He’s spent five months figuring out which local models belong on which machines, how to wire them to Claude Code loops, and how to get a software factory running without babysitting it. What you’ll learn: How Alex chose between a Mac Studio (512 GB unified memory), DGX Spark, and RTX 5090, and what each is actually good for Why Tailscale is worth installing even on a single machine, and how it lets one agent manage your entire hardware fleet How the build loop and review loop in Claude Code work How to allocate tasks by machine and model Why unlimited local inference changes the use-case math in a way a $20 cloud subscription never can What OpenClaw and Hermes are each best suited for, and why Alex runs five agents total with failover baked in — Brought to you by: Runway —The creative AI platform for images, video, and more Jira Product Discovery…
Sponsors
Runway, Jira Product Discovery
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