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.
Phanteks will be launching a line of watercooling parts which include all of the major components.
Gigabyte had a very large display for CES 2017 to help celebrate two major events. The first was to commemorate their 30th anniversary which included a press conference, indoor golf simulator and after party.
2016 was a great year for Hardware Asylum which included a good mix of what makes this website different along with some eye opening trends that will define Hardware Asylum for 2017.
When I met with SilverStone during CES 2017 I was a little curious to see what they were going to show. Would it be full on RGB LED and Tempered Glass? Lets find out.
Considering that M.2 is the hot storage item of the season why not push the limit? And, by this I mean packing four M.2 drives on a single card.
One of the best implementations RGB LEDs on a memory module is by HyperX. They were able to achieve full RGB LED lighting and control without using any external power or data connectors.
GeIL Announces the JEDEC Standard 8000MT/s Memory and the Stunning AQUARIUS Diamond RGB Series at Computex 2026? Origin Code Unveils Ultra-Low Latency Vortex 48GB DDR5-6200 CL28 “Meteorite Black” at Computex 2026A tribute to the very first ROG motherboard from 20 years agoEpomaker RT100 Pro Wireless Mechanical Keyboard Review @ APH NetworksASUS ROG Strix X870E-A Gaming Wi-Fi 7 Neo @ TechPowerUpPC Board Game Crossovers that are Actually GoodLIAN LI VECTOR V150 INF: Infinity Mirror Front Panel Meets Compact m-ATX PerformanceADATA Unveils New Product Strategy to Accelerate Its Expansion into the Next AI EraPop 2 Vision by FractalAlphacool Apex Grip Fittings & Adapter