Once I got hardware-accelerated AI working under Linux on my AI mini workstation from HP, my next goal was to make it easier to use. From this blog, you can read about my initial experiments with Open WebUI on Fedora Linux. Open WebUI talking about central log collection :-) Everything in containers As Open WebUI is not yet available as a package in Fedora, my initial approach was to use containers.

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.

In the past few weeks, I installed five different operating systems on my latest toy: an AI workstation from HP. I love playing with OSes, but my main goal with the new machine is to learn various aspects of AI. I took my first steps in this adventure on Windows. Of course, you might ask: why on Windows? Well, it’s easy: because it’s easy… :-) There is nothing to install or configure there, as Windows has multiple built-in apps that support AI and can utilize the NPU (hardware-accelerated AI) support of the AMD Ryzen 395 chip.

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.

Recently, several people have asked me about the syslog-ng project’s view on Artificial intelligence. In short, there is cautious optimism: we embrace AI, but it does not take over any critical tasks from humans. But what does this mean for syslog-ng? Read more at https://www.syslog-ng.com/community/b/blog/posts/syslog-ng-development-and-ai syslog-ng logo

During CES Nvidia announced a new AI desktop supercomputer: Project DIGITS. Starting at $3000 it puts AI processing capabilities on the desktop what just recently needed multiple servers and a few more zeroes at the end of the price tag. As an IBM Champion for POWER my first thought was that Project DIGITS is nice, but I’d love to see something based on POWER. Of course it’s just a game of thoughts, as IBM left the workstation business many years ago, both for x86 and POWER.