At FMS 2026, we saw a really neat system. The Supermicro ASG-4116S-NU160R is a single-socket AMD EPYC server that sports 160x U.2 NVMe drive bays.

With NVIDIA announcing multiple new desktop system designs at Computex 2026, NVIDIA’s partners were understandably eager to show off their current and forthcoming wares.

We recently looked at the Supermicro SYS-112D-40C-FN8P, a short-depth Intel Xeon 6 SoC system with eight 25GbE ports. This Supermicro SYS-112D-36C-FN3P is a similar 36-core version, but the bigger change is networking. Instead of 8x 25GbE, this platform gives us 2x QSFP28 100GbE in the same general front-I/O 1U format.

A lot of you do not like AI, and you have good reasons to be wary of it! But Wendell doesn't believe we should be afraid of the future!

Wendell thinks 2026 may be the year AI expectations reset for the average person,
and that reset may happen as the world doubles down on AI infrastructure, because the real long-term bet is not just chatbots or LLMs.

Wendell argued that “AI Factory” is a design pattern, not a metaphor.
In this video, he wants to show what it looks like when that design pattern scales down physically.

We have so much to cover today. In our Supermicro SYS-112D-40C-FN8P review, we are going to take a look at the Intel Xeon 6 SoC (Granite Rapids-D) in action. The system is a short-depth 1U chassis with front I/O and power supplies. Aside from the CPU, one of its biggest features is the inclusion of 8x 25GbE ports and support for a double-width PCIe accelerator.

Watch how Jeff takes on Supermicro's AMD Server AMD's AS -2126HS-TN. Epyc Turin architecture has been out for over a year now, but that doesn't make it any less exciting. The efficiency and performance gains in their server chips has been an absolute game changer.

ServeTheHome Takes on Supermicro's Full AI Factory Solution Portfolio including NVIDIA B200 and B300 systems. Patrick Kennedy rips through 20+ Solutions in rapid fire featuring NVIDIA Blackwell.

Level1Techs explores the NVIDIA GH200 Grace Hopper Superchip and the MGX architecture behind this highly restricted technology. The video details how these modular, high-bandwidth systems are designed to handle complex scientific workloads and AI training.