AI

I put this together for the CIQ blog: what four winners at Open Source Summit 2026 said they would build with an NVIDIA Jetson Orin Nano running RLC Pro AI.

I wrote this for the CIQ blog: how to choose between RLC Pro AI and RLC Pro Hardened depending on whether you are running AI infrastructure or working under strict compliance.

I wrote this explainer for CIQ introducing RLC+, the free, GPU-ready tier that sits between community Rocky Linux and the full RLC Pro subscription.

Getting from the Azure Marketplace to actual inference used to mean a day of driver archaeology. This webinar with Brian Dawson, Damon Knight, and Hugo from Microsoft Azure’s core engineering team is…

Getting a GPU box ready for AI workloads is way harder than it should be, and we proved that live on the CIQ Webinar Series on April 2nd.

Damen Knight of CIQ and I dig into the hidden cost of configuring Linux for GPU and AI workloads.

I open 2026 with a reality check on subscription fatigue and kick off a new arc on building a personal homelab.

This was my first CIQ webinar and I walked away genuinely excited, which is not something I say lightly. Dave Godlove and Jonathan Sparks showed off Fuzzball’s new service endpoints feature and what…

I hosted this short tutorial for the official AlmaLinux YouTube channel covering how to install Nvidia drivers on AlmaLinux 10, one of those setup steps that trips people up if they have not done it…

I wanted to run AI locally on Fedora using an Nvidia GPU I had sitting in my Dell PowerEdge R730 — and an hour and a half later, I actually got it working. Here’s what the road looked like.

Brian Smith and I talk with Cedric Clyburn and the Podman Desktop team about the AI Lab extension, which downloads, serves, and builds with LLMs on your own laptop.

JJ Asghar of IBM makes the case for open, transparent AI development and introduces the InstructLab project.