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.
I have been in the process of collecting some old Retro PC hardware for some YouTube projects and before I started tearing into each of the computers, I wanted to take an image of each hard drive and then document the components in each system.
The drive featured in this video is a Microscience HH-1060 Half Height RLL Compatible hard drive supporting 66MB of storage capacity. It has issues moving the heads and I'm going to show you how I fixed it.
Hardware Asylum was again presenting at Hackfort and decided to take a different approach from what we did during Hackfort 2019 and planted ourselves behind a table to show off some really cool things you can do with computers.
The purpose of this project is to build a solid test bench that can be reconfigured on the fly to hold just about any motherboard form factor from standard ATX to Baby AT with the single Keyboard DIN socket.
Well, this 486 motherboard has a similar story. The board was part of a super cool Mini Tower computer that I acquired several months after selling off my existing 486 computer parts. I had already migrated to a Socket 5 based machine and really had no use for another 486 build but, I felt it would be a good platform for learning Linux and testing out some computer networking.
The computer featured in this video falls into this category. This is a 486 33Mhz mid tower that was clearly a living computer having many upgrades installed over its lifetime. I tear into the build to find the hidden gems and try to figure out what it was used for.
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