FEATURING THE EDGECOMP MU-N150 INTEGRATED WITH MEMRYX MX3 M.2 FOR LOW POWER REAL TIME EDGE AI
January 8, 2026, TAIPEI, TAIWAN – BIOSTAR, a leading manufacturer of edge computing solutions, industrial motherboards, graphics cards, and storage devices, is showcasing its advanced edge AI solutions at CES 2026 in partnership with MemryX. The event is currently underway from January 6 through January 9, at the Palazzo Tower, Suite number Floor 48 suite 903. At CES this year, BIOSTAR is presenting the EdgeComp MU-N150 industrial system integrated with MemryX MX3 M.2 AI accelerator, delivering low-power, real-time AI processing for modern edge applications.
The EdgeComp MU-N150 is powered by the Intel Twin Lake N150 processor and designed for ultra compact, reliable deployment in industrial environments. It features dual 2.5 Gigabit Ethernet LAN ports, dual HDMI® technology ports, USB 3.2, and an M.2 Key-M 2280 slot for high-performance expansion. With a fanless design and low thermal output, the system is ideal for automation control, HMI terminals, smart retail setups, and digital signage.
The MemryX MX3 M.2 module enhances the platform with efficient AI inference in a compact form factor. Built on MemryX's scalable architecture, it delivers high throughput with low latency and includes all memory onboard to reduce system bottlenecks. Supporting standard AI model formats and popular frameworks like TensorFlow, PyTorch, and ONNX, the module is easy to deploy across Linux, Windows, and Android systems using MemryX's software tools, including a compiler and performance simulator.
Together, BIOSTAR EdgeComp MU-N150 combined with MemryX MX3 M.2 module delivers dependable edge intelligence with low latency and minimal power consumption, enabling applications such as machine vision, robotics, safety monitoring, and real-time analytics across a wide range of industrial and embedded use cases.
BIOSTAR and MemryX welcome all visitors, partners, and media to their showcase at CES 2026 to experience EdgeComp MU-N150 with MemryX MX3 M.2 module firsthand. Discover how efficient AI acceleration and robust industrial design are driving the next generation of intelligent edge solutions.
