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.
On display they had a number of RGB LED enabled coolers and some pre-release multi port reservoirs but by far the most interesting item was the Alphacool Eiskoffer. This is a complete PETG bending kit with everything you need to bend PETG and Acrylic tubes.
I’m here to tell you that Creative is doing some amazing things with sound and whatever I write is not going to do any of it justice. Be sure to check out the Hardware Asylum Podcast this month to know more.
I'm always impressed with what ASUS ROG has been doing to expand their brand and of the major companies building hardware is by far one of the most successful. So much they can take a break to introduce even more great ROG stuff.
Cooler Master had an amazing display of RGB LED lights which could be found on coolers, cases, keyboards, mice and even the entire room. Yes, thats right they figured out how to change the room color based on what is on your monitor.
2017 was a great year for Hardware Asylum which included a good mix of what makes this website different from everyone else and a good mix of what will make Hardware Asylum better in 2018
This modding project was intended to replace the Core V51 that had been top several LAN Parties visited the Hardware Asylum Labs more times that I care to admit. All of that jostling around has started to show its age needless to say, it was time for a replacement.
DeltaMate GPU Block - ROG Astral RTX 5080Shuttle XPC slim DH810 Barebone Review @ Madshrimps.beMSI MPG 322UR QD-OLED X24 Monitor Review @ TechPowerUpMSI MEG X870E Ace Max Motherboard Review @ TechPowerUpDucky OK-M Keyboard ReviewLatest Audio Trends and A Sound Solution Looking for A ProblemARCTIC - Xtender Black (Clear Glass) Expands the SeriesTEAMGROUP Earns Multiple International Patents, Marking a New Milestone in Data Security and Next-Gen Memory ApplicationsFine-Tuning LLMs on a Local Multi-GPU AI WorkstationSoftware Choices for a Multi-GPU AI Workstation