Ever since I bought my AI mini workstation from HP, my goal was to run hardware accelerated artificial intelligence workloads in a Linux environment. Read more to learn how things turned out on Ubuntu and Fedora! I have been using various AI tools for a while now. Generating pictures about some impossible situations, like a dinosaur climbing the Hungarian parliament building, finding information where a simple web search is useless, or explaining syslog-ng code to me.

There is a new toy in the house. It is a miniature workstation from HP, built around AMD’s Ryzen AI Max+ PRO 395 chip. If you are interested in the specifications and other details, check the HP product page at https://www.hp.com/us-en/workstations/z2-mini-a.html. In the long run, this box will serve many purposes: learning AI, but running as much as possible locally instead of utilizing cloud services learning Kubernetes by building everything from scratch on multiple virtual machines home server: running complex test environments on a single box (128 GB of RAM should be enough in most cases :-) ) photo editing using Capture One Pro occasional gaming :-) For now, I have finished unboxing and taken the first steps with Windows.

Yes, I know. Bad title. After so many years only a handful of people will decipher it that I am looking for an affordable and standards compliant ARM machine for Linux & FreeBSD. It refers to a machine released 8 years ago, and a blog I wrote 4 years ago: The ARM developers workstation: Why the SoftIron OverDrive 1000 is still relevant The good news is that since my previous blog there is a lot more ARM hardware available.

The 31st birthday of the Linux #kernel was yesterday. For this occasion some opensource.com contributors (including me) shared how we got started with Linux. Lots of nice memories :-) The article is available at https://opensource.com/article/22/8/linux-birthday-origin-stories flower