What fun is having an AI workstation if you don’t dive deeply into what makes AI work. Inference is maybe 98% of AI tasks from image generation to machine learning and even basic chats and summaries. We rely on model makers to do the heavy lifting and provide models that we can use, either in the cloud or locally.
In my previous articles I discussed the balance between model quality and hardware requirements for running AI models locally. For this article I wanted to discuss software and how my AI Workstation build was designed to work with the software packages and how I can switch between them to complete certain tasks.
Building an AI workstation is rarely about buying the single fastest component on the market; it is about finding the specific "sweet spot" that fits your workload. Whether you are prioritizing VRAM capacity, PCIe lane availability, or thermal management, the right build depends entirely on how you plan to use your machine. The goal isn't just raw power, but the ability to run the tools you need efficiently.
This is the first article in a new AI Hardware series talking about the requirements for running AI Models and why paying attention to these things can help you build a better AI Workstation. If anything learning why a DGX Spark or Mac Mini work but, can also be really slow.
2026 marks the 30th year for Lexar and they started CES off with an announcement that they were going to be the global storage partner for the Argentina National Football (Soccer) Team and launched a number of AI focused storage devices.
beQuiet was showing their latest chassis design the Light Base 600 which is a smaller version of the Light Base 900 offering a corner office glass side and feet that can be repositioned to invert or flatten the display position of the case.
The first keynote of CES 2024 was presented by Dr Lisa Su, the current CEO of AMD. The presentation focused on Connecting AI and how AMD products are helping to shape how we will be able to use AI on a daily bases from portable laptops to high-end server solutions and scalable data centers.
The first keynote presentation during Computex 2024 was with NVIDIA and hosted on the National Taiwan University campus. The keynote was great but, it rained the entire time.
I am creating this guide because there is a TON of misinformation out there related to Dosemu. The biggest of these, there are two versions available. While the names are similar and they share a common code base there are some major differences between the two making the existing information difficult to distill.
I am in the process of putting together a new Retro PC build on a platform that I never owned personally but, found extremely fascinating, The Intel Pentium Pro. I wanted something special for the chassis. To keep with the formula, it needed to be an AT case and I have always liked having a digit display. Sadly, the turbo feature will not be available but, a keylock would be a nice addition.
EK is one of the biggest names in watercooling thanks to the droves of computer hardware enthusiasts flocking to build a custom PC without having to modify anything. These is one of the major reasons why DIY watercooling has taken off and effectively taken the guesswork out of building a custom water loop.
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