Special Feature: 2026 International Consumer Electronics Show (CES) During the 2026 CES in the United States, edge AI chip and solution provider Kneron showcased its full-stack edge AI product matrix, which covers consumer electronics, smart homes, smart transportation, industrial IoT, and enterprise-level computing, systematically driving the migration of AI from the cloud to the edge.
Kneron stated that the core of its technology lies in local computing, ultra-low latency, low power consumption, and high reliability. Through an architecture of "data stays local, intelligence runs at the edge, and centralized unified management," it provides global users with a more secure and private AI experience.
As generative AI accelerates its entry into the enterprise application phase, Kneron launched a full-stack edge AI system at CES, covering the complete path from pilot deployment to enterprise-scale implementation.
This system is based on Kneron's self-developed NPU architecture, integrating AI chips, a secure operating system, an inference engine, and a unified management platform to form an end-to-end edge intelligence infrastructure.
Among the offerings, the Kneo 330 targets small and medium-sized enterprises, retail stores, clinics, light industrial production lines, and smart buildings. It supports scenarios such as automated reporting for small businesses, AI-assisted diagnosis in community healthcare, visual quality inspection on production lines, facial recognition, and behavior analysis. The device supports plug-and-play, has significantly lower power consumption than GPU solutions, and processes all video and image data locally, emphasizing privacy protection.
The Kneo 350 is positioned for medium-to-large enterprises, factories, and regional edge data centers, boasting four times the computing power of the Kneo 330 and supporting multi-user concurrency. The product features a built-in AI Agent development framework and dialogue system, catering to high-complexity applications like industrial inspection, medical imaging, and sensitive data processing.
The Kneo Rack, developed in partnership with Silicon Valley partner Quantea, targets large institutions and cross-scenario deployment needs, building an enterprise-grade "private AI cloud." Kneron emphasized that, compared to traditional GPU servers, this solution does not require liquid cooling systems and can operate in standard office environments, significantly reducing energy consumption, cooling, and data center construction costs (TCO), while also supporting hosted deployment.
Kneron founder and CEO Albert Liu stated, "In the AI era, privacy, security, and real-time response are no longer optional. True intelligence should run at the edge. Through our self-developed, low-power, high-efficiency AI chips and full-stack solutions, we aim to equip every device with thinking capabilities."