PCIe-AE304bp enables direct 100/1000BASE-T1 connectivity on x86 platforms, simplifying Automotive Ethernet integration for ADAS validation and autonomous driving test systems with rugged, wide-temperature reliability.
Neousys will demonstrate rugged Edge AI solutions at AUTOMATE 2026, highlighting Physical AI applications through live demos in robotics, AI inspection, autonomous navigation, and harsh-environment automation.
PCIe-PoE464at is a rugged 4-port 5GBASE-T PoE+ frame grabber designed for reliable high-speed image acquisition and synchronized multi-camera machine vision systems.
Neousys Technology will present rugged Edge AI platforms at COMPUTEX 2026, featuring real-time AI vision demos, NVIDIA® RTX™ Blackwell GPU systems, and Jetson Thor™ solutions for smart transportation and industrial automation.
POC-960GC is a compact rugged Edge AI platform combining AMD Ryzen™ PRO computing and NVIDIA® RTX™ GPU expansion for robotics, industrial automation, and machine vision deployments.
Neousys presents rugged edge AI platforms at GITEX Europe 2026, featuring GPU-powered inference, compact AI computing, waterproof systems, and GMSL2 solutions for industrial and autonomous applications.
Nuvo-9160GC combines rugged edge AI computing with Red Hat Enterprise Linux certification, enabling secure, scalable, and enterprise-ready deployment for AOI, video analytics, and industrial AI applications.
Neousys showcases rugged edge AI platforms for off-highway vehicles at iVT Expo 2026, enabling real-time AI detection, low-latency inference, and reliable deployment in harsh agricultural and industrial environments.
With UL-certified safety and rugged design, Neousys platforms enable reliable edge AI deployment in industrial and outdoor environments, ensuring system protection, compliance, and long-term operational stability.
Neousys Technology Showcases Computers for Real-World AI Applications at SEMICON Southeast Asia 2026
Neousys delivers scalable edge AI platforms for semiconductor manufacturing, enabling real-time inspection, automation, and data analytics to improve efficiency, stability, and AI deployment in production environments.