Brandon Hopkins

sam: local inference is a terrible allocation of scarce resources “a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment somehow many people's intuition is the opposite of that”

Remote access feels like the “final boss” of running a home lab, but NetBird made it a few clicks bit.ly/4zrRwpK

You get SSH access to a Linux server you've never seen before. No documentation. No idea what's running on it. What's the first thing you check? Not looking for the 'correct' answer. I'm interested in the order other people poke around.

My Grok Bot's computer got an upgrade! It runs NetBird on it and can connect to my internal @metabase 🤯 github.com/netbirdio/netbird

We built CREATORRIZZ, our internal growth dashboard running inside our office homelab. It tracks and analyzes all of our social media profiles and posts. We can see how we're performing and how we can further improve + a NVIDIA Jetson Nano running our AI models