Core Insights - Kneron showcased its full-stack edge AI product matrix at CES 2026, focusing on the migration of AI from cloud to edge across various sectors including consumer electronics, smart homes, smart transportation, industrial IoT, and enterprise computing [1][4] Group 1: Technology and Product Offerings - Kneron's technology emphasizes local computation, ultra-low latency, low power consumption, and high reliability, providing a secure and private AI experience by keeping data local and managing it centrally [1][4] - The newly launched full-stack edge AI system supports a complete path from pilot deployment to enterprise-scale implementation, integrating Kneron's proprietary NPU architecture, AI chips, secure operating systems, inference engines, and unified management platforms [1][4] Group 2: Product Specifications - The Kneo 330 targets small and medium enterprises, retail stores, clinics, light industrial production lines, and smart buildings, enabling automation in reporting, community healthcare AI-assisted diagnosis, visual quality inspection, facial recognition, and behavior analysis, with significantly lower power consumption compared to GPU solutions [5] - The Kneo 350 is designed for medium to large enterprises, factories, and regional edge data centers, offering four times the computing power of the Kneo 330 and supporting multi-user concurrency, with built-in AI Agent development frameworks and dialogue systems for complex applications [5] - Kneo Rack, developed in collaboration with Quantea, aims at large institutions and cross-scenario deployment needs, creating a private AI cloud that operates in standard office environments without the need for liquid cooling systems, thus significantly reducing energy consumption, cooling, and total cost of ownership (TCO) [5]