In this hardware-focused video, Dave presents an unsponsored shop floor-style review of four standout tech products he has personally tested: the GeekCom A9 Max mini PC, a budget-friendly 40-inch ultrawide monitor from Anoken, two innovative Hall effect keyboards from Keyron, and Nvidia’s Thor edge compute module. Each product is explored in detail, highlighting their unique features, performance, and practical use cases, with Dave sharing his honest opinions based on hands-on experience.
The GeekCom A9 Max mini PC impressed Dave with its desktop-class performance powered by AMD’s Ryzen 9 HX370 processor, integrated Radeon 890M GPU, and the new XDNA2 neural processing unit (NPU). This combination delivers strong AI acceleration for tasks like Photoshop neural filters and background noise reduction, making it a practical AI mini PC under $1,000. Its robust connectivity options, including dual USB4 ports, dual 2.5 gigabit Ethernet, and support for up to 128GB DDR5 RAM, along with effective cooling, make it a versatile choice for light editing, multitasking, and even as a small server or NAS.
Dave then compares Dell’s premium Ultrasharp 40-inch 5K2K curved monitor with the more affordable Anoken 40C1R ultrawide. While Dell’s monitor offers superior brightness, color accuracy, and a Thunderbolt 4 hub, it comes at a steep price. The Anoken, by contrast, delivers a solid 5K2K resolution, 100Hz refresh rate, and a good selection of inputs at roughly half the cost, making it an excellent budget option for video editing, gaming, and general productivity. Dave notes that while the Anoken lacks some of Dell’s premium features, it provides a large, smooth, and colorful workspace that suits most users well.
The two Keyron Hall effect keyboards, the full-size K10H and the compact K6H, represent a significant evolution in keyboard technology. Instead of traditional mechanical switches, they use magnetic sensors to detect key presses, allowing for analog input and customizable actuation points with 0.1mm precision. This results in faster key repeats, less hysteresis, and the ability to tailor key sensitivity per key, which benefits both gamers and heavy typists. Dave appreciates the keyboards’ programmability, hot-swappable magnetic switches, and the satisfying “thock” sound, recommending them as a fresh alternative to conventional mechanical keyboards.
Finally, Dave explores Nvidia’s Thor edge compute module, designed for robotics and autonomous vehicles but repurposed here as a compact, power-efficient workstation. Featuring a Blackwell-class GPU, ARM Neoverse V3 CPU cores, and up to 120GB of memory, Thor delivers impressive AI throughput at low power consumption. Dave tests it with CPU-intensive prime number calculations, CUDA-based reinforcement learning, and running local large language models like LLaMA, finding it capable and efficient for edge AI workloads. He concludes that Thor exemplifies the future of small, smart, and polite computing devices that bring powerful AI capabilities to the edge, away from traditional data centers.
