GMK EVO-X3 mini PC with Ryzen AI Max+ 395 and up to 128GB RAM launches this month

The GMK EVO-X3 is a compact workstation with a 16-core, 32-thread processor, discrete-class integrated graphics, and plenty of I/O including an OCuLink port for an external PCIe 4.0 connection to a graphics dock or other add-ons.

First revealed earlier this year, the EVO-X3 will be available for “early access registration” on June 22, ahead of a global launch on June 29th July 6th. (Update: […]

https://www.buysellram.com/blog/how-to-choose-the-best-mini-pc-for-local-ai-in-2026/

AMD Ryzen AI Max+ 395 vs Nvidia DGX Spark vs Apple Mac — plus when a GPU tower still beats all three. A practical hardware guide for IT managers, developers, and small-business owners weighing a local LLM machine.

There’s no single winner. The right pick comes down to three numbers — how big a model you need to run (memory capacity), how fast it has to run (memory bandwidth), and which software you depend on (CUDA, ROCm, or Metal). A discrete-GPU tower is fastest but hits a VRAM wall; AMD’s Strix Halo mini PCs give the most memory per dollar on Windows; Nvidia’s DGX Spark adds the CUDA stack at a premium; Apple’s Macs offer high bandwidth and silence without CUDA. An appendix at the end collects what early buyers of the AMD “lunchbox” are actually reporting.

#LocalAI #LLM #MiniPC #AIhardware #StrixHalo #DGXSpark #AppleSilicon #EdgeAI #AIinfrastructure #Ollama #RyzenAI #AIPC #AMD #NVIDIA #Apple #tech

AMD Ryzen AI Max+ 395 vs Nvidia DGX Spark vs Apple Mac — plus when a GPU tower still beats all three. A practical hardware guide for IT managers, developers, and small-business owners weighing a local LLM machine.

Running large language models locally went from a niche hobby to a real procurement question in 2026. A mini PC the size of a paperback can now hold a 200-billion-parameter model — the kind of workload that used to need a server rack.

But picking one isn't about the lowest price. Three things decide whether a model runs well: memory capacity (what fits), memory bandwidth (how fast it runs), and the software ecosystem — CUDA, ROCm, or Metal — that determines whether your existing tools work at all.

There are four real ways to run a local LLM on your desk: a discrete-GPU tower (fastest, but a VRAM wall), AMD Strix Halo mini PCs (big unified memory, cheap, Windows-native), Nvidia's GB10 boxes like the DGX Spark and Dell Pro Max (CUDA, but now $4,699 and Linux-only), and Apple's Mac mini and Mac Studio (high bandwidth, silent, no CUDA).

This guide breaks down which fits which job — with verified specs and current prices.

An appendix at the end collects what early buyers of the AMD “lunchbox” are actually reporting.

https://www.buysellram.com/blog/how-to-choose-the-best-mini-pc-for-local-ai-in-2026/
#LocalAI #LLM #MiniPC #AIhardware #StrixHalo #DGXSpark #AppleSilicon #EdgeAI #AIinfrastructure #Ollama #RyzenAI #AIPC #AMD #NVIDIA #Apple #technology

ONEXPLAYER X2 Mini Pro handheld gaming PC with Ryzen AI Max+ 388 hits Indiegogo for $2466 and up

The ONEXPLAYER X2 Mini Pro is a handheld game console with an 8.8 inch, 1920 x 1200 pixel, 30 -144 Hz AMOLED display, detachable controllers, and the most powerful graphics currently available for a device this size.

But with an AMD Strix Halo processor and at least 48GB of high-speed memory inside, it’s unsurprising that this handheld is expensive. The ONEXPLAYER X2 Mini Pro is now available […]