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 is best known for their exceptionally silent coolers and case designs and will now be also know for having a completely custom set of mechanical keyboards and ultra light mice.
2024 could have been a better year for Hardware Asylum but, we still got to do some amazing things and explore some great new hardware. 2025 marks an attempt to change things up a bit, bring back from old friends and start some new chapters.
Modern computer systems require modern products to extract the very best performance. When it comes to system memory the new CUDIMM modules are designed to deliver on that promise and there is no better example than the Lexar ARES RGB modules clocked in at 9600MT/s making them some of the fastest sticks at CES.
On display during CES, Creative was showing the latest version in the Pebble series the Nova. The Pebble Nova has the same great form factor but with the addition of a woofer directly behind the primary speaker.
This adventure started with a special memory line that you could by from GSKill, the Splave edition. This special memory bin offered Trident Z5 RGB modules with special tuning and are now getting included with custom overclocked gaming PCs tuned by Splave himself.
One of the exciting releases during Computex 2024 was the AI Top product line from Gigabyte. These new motherboards are specially designed for the unique demands of AI development and now range to include most every available chipset from the AMD B850 up to the TRX50 Threadripper and Intel W790.
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