2026-01-07
Kneron Redefines Edge AI at CES 2026 with Full-Stack Solutions for a Smarter, Safer World
Las Vegas, January 6, 2026 — Kneron, a global pioneer in edge AI chips and solutions, lit up CES 2026 today with a powerful showcase of its full-stack Edge AI portfolio—spanning consumer electronics, smart homes, intelligent transportation, industrial IoT, and enterprise computing.
Leveraging its core strengths—local processing, ultra-low latency, energy efficiency, and rock-solid reliability—Kneron is accelerating AI’s shift from the cloud to the edge. It bringssmarter, safer, and more private experiences for users around the world.
Full-Stack Edge AI: From Device to Data Center
As generative AI reshapes industries, enterprises are no longer asking if they should adopt AI—but how to deploy it securely and sustainably. At CES, Kneron answered that question with KneoEdge™, a suite of integrated Edge AI systems engineered for everything from pilot projects to enterprise-wide rollouts.
More than just hardware, KneoEdge™ is an end-to-end AI infrastructure stack built on Kneron’s proprietary NPU architecture. It seamlessly combines NPU processors, a secure operating system, an optimized inference engine, and a unified management platform—all guided by one principle:
“Data stays local. Intelligence runs at the edge. Management stays centralized.”
1. Kneo 330: Lightweight Edge AI Box – Plug-and-Play Intelligence
Ideal for: SMEs, retail stores, clinics, light-industrial lines, and smart buildings
Use cases include:
Automated small-business reporting
AI-assisted diagnostics in community health centers
Visual quality inspection on compact production lines
Facial recognition access control and behavior analytics
Why it stands out:
✅ Ready out of the box: Preloaded with KneoOS and inference frameworks—just plug in a camera or sensor, and models run in under five minutes.
✅ Ultra-low power: Consumes a fraction of the energy of GPU-based alternatives—perfect for long-term, power-constrained deployments.
✅ Privacy by design: All video and image data is processed on-device; raw data never leaves the unit or gets stored externally.
2. Kneo 350: High-Performance Edge Server – Industrial-Grade AI Workhorse
Ideal for: Mid-to-large enterprises, factories, edge data centers, and regional security hubs
Use cases include:
lReal-time weld defect detection
lAI-powered medical imaging workstations
lSecure structuring and querying of sensitive internal data
Key advantages:
✅ Developer-ready: Ships with KneoChat and Kneron’s AI Agent framework—enabling rapid development of custom AI workflows.
✅ 4x the compute power of the Kneo 330, supporting concurrent multi-user applications at exceptional cost efficiency.
3. Kneo Rack: Rack-Mounted AI Inference Cluster – Your Private Enterprise AI Cloud
Ideal for: Corporate HQs, large institutions, and organizations scaling AI across sites
Use cases include:
lReal-time personnel behavior analysis in mega-factories
lAutomated container ID and scheduling at major ports
lHigh-security surveillance for banks and government agencies
Built in collaboration with Silicon Valley partner Quantea, Kneo Rack links multiple Kneo 350 units under Quantea’s enterprise-grade orchestration layer—powered by an intuitive visual scheduler.
In an era of exploding AI compute demand, traditional GPU servers come with steep costs in power, cooling, and infrastructure. Kneo Rack rewrites the rules:
No liquid cooling needed: Ultra-efficient NPUs enable reliable air-cooled operation—even in standard office environments.
Dramatically lower TCO: Slashes electricity, HVAC, UPS, and space requirements—eliminating costly PUE overhead and new data center builds.
Fully managed option: With Quantea’s hosted Kneo Rack service, businesses skip infrastructure setup entirely—cutting deployment time, complexity, and staffing needs.
More than hardware, Kneo Rack represents a new paradigm: sustainable, private, scalable AI infrastructure that delivers intelligence where it’s needed—securely, affordably, and compliantly.
Privacy & Efficiency First: Meet KNEO-Pi
Also on display: the KNEO-Pi developer board, powered by Kneron’s flagship KL730 chip. Designed for makers, startups, and researchers, KNEO-Pi brings full on-device AI inference to the edge—no cloud required.
Sensitive audio stays on-device, ensuring foundational privacy. Local processing also means faster response times, lower power draw, and uninterrupted operation—even during network outages. Highly customizable, KNEO-Pi empowers developers to tailor models for verticals like smart security, micro-industrial automation, and STEM education.
Real-World Impact: Edge AI in Action
Kneron’s technology is already transforming industries:
Smart Home & Robotics: In partnership with NUWA, a multimodal home robot featuring vision and voice AI. Beyond chatting and patrolling, NUWA acts as an intelligent companion—monitoring health, tutoring kids, enhancing safety, and even offering emotional engagement.
Smart Cities & Public Safety:
The AI Edge IP Camera performs on-device face recognition, human tracking, fall detection, object ID, and sound classification.
The rugged Dynamic-Stitching AI Camera uses dual-lens seamless fusion to deliver ultra-wide, distortion-free HD video—enabling reliable license plate recognition (global formats), vehicle/pedestrian detection, and more in harsh urban settings.
Intelligent Driving: In its automotive zone, Kneron demonstrated its mature Driver Monitoring System (DMS), detecting drowsiness, distraction (phone use, smoking), and other risky behaviors with >99.6% accuracy at distances from 40cm to 1.2m. Complementary in-cabin cameras support pedestrian/vehicle detection, blind-spot monitoring, distance estimation, and digital rearview functions.
Looking Ahead: Building the Edge AI Ecosystem
Kneron remains laser-focused on advancing Edge AI. The company plans deeper integration with leading IoT platforms and will expand its GEN-AI-Toolkit—offering end-to-end services for custom large-model deployment, including Retrieval-Augmented Generation (RAG) and knowledge-base Q&A—to accelerate AI adoption across verticals.
At the show, Dr. Albert Liu, Founder and CEO of Kneron, told reporters:
“In the AI era, privacy, security, and real-time responsiveness aren’t optional—they’re essential. At Kneron, we believe true intelligence belongs at the edge. Through our self-developed, high-efficiency, low-power AI chips and full-stack solutions, we empower every device to think—building a more trustworthy, efficient, and human-centric intelligent world.”
As global digital transformation accelerates, Kneron will continue partnering across sectors—using AI chips as the engine—to shape a smarter, safer, and more connected future.
Leveraging its core strengths—local processing, ultra-low latency, energy efficiency, and rock-solid reliability—Kneron is accelerating AI’s shift from the cloud to the edge. It bringssmarter, safer, and more private experiences for users around the world.
Full-Stack Edge AI: From Device to Data Center
As generative AI reshapes industries, enterprises are no longer asking if they should adopt AI—but how to deploy it securely and sustainably. At CES, Kneron answered that question with KneoEdge™, a suite of integrated Edge AI systems engineered for everything from pilot projects to enterprise-wide rollouts.
More than just hardware, KneoEdge™ is an end-to-end AI infrastructure stack built on Kneron’s proprietary NPU architecture. It seamlessly combines NPU processors, a secure operating system, an optimized inference engine, and a unified management platform—all guided by one principle:
“Data stays local. Intelligence runs at the edge. Management stays centralized.”
1. Kneo 330: Lightweight Edge AI Box – Plug-and-Play Intelligence
Ideal for: SMEs, retail stores, clinics, light-industrial lines, and smart buildings
Use cases include:
Automated small-business reporting
AI-assisted diagnostics in community health centers
Visual quality inspection on compact production lines
Facial recognition access control and behavior analytics
Why it stands out:
✅ Ready out of the box: Preloaded with KneoOS and inference frameworks—just plug in a camera or sensor, and models run in under five minutes.
✅ Ultra-low power: Consumes a fraction of the energy of GPU-based alternatives—perfect for long-term, power-constrained deployments.
✅ Privacy by design: All video and image data is processed on-device; raw data never leaves the unit or gets stored externally.
2. Kneo 350: High-Performance Edge Server – Industrial-Grade AI Workhorse
Ideal for: Mid-to-large enterprises, factories, edge data centers, and regional security hubs
Use cases include:
lReal-time weld defect detection
lAI-powered medical imaging workstations
lSecure structuring and querying of sensitive internal data
Key advantages:
✅ Developer-ready: Ships with KneoChat and Kneron’s AI Agent framework—enabling rapid development of custom AI workflows.
✅ 4x the compute power of the Kneo 330, supporting concurrent multi-user applications at exceptional cost efficiency.
3. Kneo Rack: Rack-Mounted AI Inference Cluster – Your Private Enterprise AI Cloud
Ideal for: Corporate HQs, large institutions, and organizations scaling AI across sites
Use cases include:
lReal-time personnel behavior analysis in mega-factories
lAutomated container ID and scheduling at major ports
lHigh-security surveillance for banks and government agencies
Built in collaboration with Silicon Valley partner Quantea, Kneo Rack links multiple Kneo 350 units under Quantea’s enterprise-grade orchestration layer—powered by an intuitive visual scheduler.
In an era of exploding AI compute demand, traditional GPU servers come with steep costs in power, cooling, and infrastructure. Kneo Rack rewrites the rules:
No liquid cooling needed: Ultra-efficient NPUs enable reliable air-cooled operation—even in standard office environments.
Dramatically lower TCO: Slashes electricity, HVAC, UPS, and space requirements—eliminating costly PUE overhead and new data center builds.
Fully managed option: With Quantea’s hosted Kneo Rack service, businesses skip infrastructure setup entirely—cutting deployment time, complexity, and staffing needs.
More than hardware, Kneo Rack represents a new paradigm: sustainable, private, scalable AI infrastructure that delivers intelligence where it’s needed—securely, affordably, and compliantly.
Privacy & Efficiency First: Meet KNEO-Pi
Also on display: the KNEO-Pi developer board, powered by Kneron’s flagship KL730 chip. Designed for makers, startups, and researchers, KNEO-Pi brings full on-device AI inference to the edge—no cloud required.
Sensitive audio stays on-device, ensuring foundational privacy. Local processing also means faster response times, lower power draw, and uninterrupted operation—even during network outages. Highly customizable, KNEO-Pi empowers developers to tailor models for verticals like smart security, micro-industrial automation, and STEM education.
Real-World Impact: Edge AI in Action
Kneron’s technology is already transforming industries:
Smart Home & Robotics: In partnership with NUWA, a multimodal home robot featuring vision and voice AI. Beyond chatting and patrolling, NUWA acts as an intelligent companion—monitoring health, tutoring kids, enhancing safety, and even offering emotional engagement.
Smart Cities & Public Safety:
The AI Edge IP Camera performs on-device face recognition, human tracking, fall detection, object ID, and sound classification.
The rugged Dynamic-Stitching AI Camera uses dual-lens seamless fusion to deliver ultra-wide, distortion-free HD video—enabling reliable license plate recognition (global formats), vehicle/pedestrian detection, and more in harsh urban settings.
Intelligent Driving: In its automotive zone, Kneron demonstrated its mature Driver Monitoring System (DMS), detecting drowsiness, distraction (phone use, smoking), and other risky behaviors with >99.6% accuracy at distances from 40cm to 1.2m. Complementary in-cabin cameras support pedestrian/vehicle detection, blind-spot monitoring, distance estimation, and digital rearview functions.
Looking Ahead: Building the Edge AI Ecosystem
Kneron remains laser-focused on advancing Edge AI. The company plans deeper integration with leading IoT platforms and will expand its GEN-AI-Toolkit—offering end-to-end services for custom large-model deployment, including Retrieval-Augmented Generation (RAG) and knowledge-base Q&A—to accelerate AI adoption across verticals.
At the show, Dr. Albert Liu, Founder and CEO of Kneron, told reporters:
“In the AI era, privacy, security, and real-time responsiveness aren’t optional—they’re essential. At Kneron, we believe true intelligence belongs at the edge. Through our self-developed, high-efficiency, low-power AI chips and full-stack solutions, we empower every device to think—building a more trustworthy, efficient, and human-centric intelligent world.”
As global digital transformation accelerates, Kneron will continue partnering across sectors—using AI chips as the engine—to shape a smarter, safer, and more connected future.
