GMKtec launches Evo-X3 Mini PC with Ryzen AI Max+ 395, 128GB RAM, OCuLink and 126 TOPS AI power, built for heavy AI and performance tasks.

#mymobprice #GMKtecEvoX3 #MiniPC #AIWorkstation #TechReview #RyzenAI

https://mymobprice.com/gmktec-evo-x3-mini-pc-launched/

Join us tomorrow for our low-latency ML video analytics demo on the Ryzen AI Max 300 Series at the AMD Embedded Computing Summit! 📊 ⚽️

See you in Eindhoven! https://col.la/amdsummit26

#AMD #EmbeddedComputing #EdgeAI #RyzenAI #MachineLearning

🔥 Le Lenovo Legion 5 15AKP10 RTX 5070 arrive sur inmedia.ma !
Profitez d’un écran OLED QHD+ 165 Hz, d’un processeur AMD Ryzen AI 7 350, de 16 Go DDR5 et d’un SSD 512 Go pour jouer, créer et travailler avec une fluidité exceptionnelle. 🎮⚡

https://inmedia.ma/product/lenovo-legion-5-15akp10-ryzen-ai-7-350-rtx-5070-oled/

#LenovoLegion, #PCGamer, #GamingLaptop, #RTX5070, #RyzenAI, #OLED, #Inmedia

Asus Dawn 7S Ryzen Edition arrives with Ryzen AI 5 330, 16GB DDR5 RAM, 1TB SSD, 2.5K 144Hz display, Wi-Fi 7, and premium connectivity.

#mymobprice #Asus #AsusDawn7S #AsusLaptop #RyzenAI #LaptopLaunch #TechNews

https://mymobprice.com/asus-dawn-7s-ryzen-edition-launched/

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