FEATURING EDGECOMP MU-N150 FOR IOT DEPLOYMENTS AND EDGECOMP MS-NANO FOR AI-DRIVEN EDGE APPLICATIONS
January 14th, 2026, TAIPEI, TAIWAN – BIOSTAR, a leading manufacturer of edge computing solutions, industrial motherboards, graphics cards, and storage devices, today announces a refined dual-track edge computing strategy for its EdgeComp industrial computing portfolio, addressing the evolving demands of IoT deployments and edge AI applications.
As edge computing adoption accelerates across industrial automation, smart infrastructure, and intelligent systems, market requirements have become increasingly segmented. IoT deployments often prioritize compact design, low power consumption, and long-term stability, while edge AI applications demand significantly higher compute performance and real-time processing capability. Recognizing these distinct requirements, BIOSTAR has formalized its EdgeComp portfolio around a clear dual-track approach, enabling system integrators and solution providers to deploy purpose-built platforms tailored to specific application needs.
Under this refined strategy, BIOSTAR clearly differentiates its EdgeComp offerings into two focused solution paths. The EdgeComp MU-N150 is positioned as an efficiency-oriented platform optimized for edge computing and IoT environments, while the EdgeComp MS-NANO is designed to address compute-intensive edge AI workloads, including AI vision and intelligent automation.
The EdgeComp MU-N150 serves as a compact and energy-efficient edge computing solution for distributed IoT deployments. Powered by the Intel® Twin Lake N150 quad-core processor, the fanless system delivers dependable performance with ultra-low power consumption, making it well-suited for continuous operation in space-constrained and industrial environments. With support for triple 4K display output via HDMI, DisplayPort, and USB-C, along with dual 2.5GbE LAN connectivity, the MU-N150 provides the flexibility required for applications such as digital signage, smart retail systems, environmental monitoring, and other IoT-driven edge use cases. Broad operating system support further enables seamless integration across diverse embedded platforms.
Anchoring BIOSTAR's performance-focused track, the EdgeComp MS-NANO is engineered to meet the growing demand for AI processing at the edge. Built around NVIDIA® Jetson Orin™ Nano modules, the system delivers scalable AI performance for real-time inference, AI vision, and data-intensive workloads. Designed for deployment in demanding environments, the MS-NANO supports modern AI frameworks and offers industrial-grade I/O, including CAN bus and multiple serial interfaces, allowing smooth integration into automation systems, robotics platforms, and intelligent infrastructure. Flexible expansion options for wireless and cellular connectivity further enhance its suitability for edge AI applications across industrial and smart city scenarios.
By clearly defining these two complementary solution paths, BIOSTAR's dual-track EdgeComp strategy simplifies system design decisions while ensuring optimal performance, efficiency, and scalability across a wide range of edge computing applications. This approach reflects BIOSTAR's continued commitment to delivering reliable, application-driven industrial platforms that align with real-world deployment requirements.
To showcase its expanding industrial computing portfolio, BIOSTAR will present its complete range of EdgeComp solutions at Embedded World 2026 in Nuremberg, Germany. Visitors are invited to explore BIOSTAR's latest industrial systems at Hall 3, Booth 3-456, highlighting how its edge computing technologies enable smarter, faster, and more intelligent industrial applications worldwide.
