Kneron's full-stack edge AI portfolio (CES 2026): Kneo 330 plug-and-play edge AI box, Kneo 350 industrial edge server (4× compute), Kneo Rack inference cluster, and KNEO-Pi KL730 developer board. On-device inference with no liquid cooling.
Kneron — edge AI chip & solution pioneer
Proprietary NPU (Kneron neural processing units)
Lightweight edge AI box — plug-and-play, <5 min model deploy
High-performance edge server — 4× Kneo 330 compute
Rack-mounted inference cluster (Quantea orchestration)
Developer board — flagship KL730 chip, on-device AI
KneoOS + inference engine + unified management platform
KneoChat + Kneron AI Agent framework (Kneo 350)
Air-cooled — no liquid cooling required
All video/image data processed on-device
Quantea hosted Kneo Rack managed option available
Available
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Kneron redefined edge AI at CES 2026 with KneoEdge, a full-stack infrastructure built on its proprietary NPU architecture. The guiding principle — "data stays local, intelligence runs at the edge, management stays centralized" — delivers local processing, ultra-low latency, and energy efficiency without the power, cooling, and PUE overhead of GPU servers.
The portfolio spans four tiers: the Kneo 330 plug-and-play edge AI box for SMEs and retail (models run in under five minutes); the Kneo 350 industrial edge server with 4× the compute and a built-in AI Agent framework; the Kneo Rack rack-mounted inference cluster for private enterprise AI clouds (built with Silicon Valley partner Quantea); and the KNEO-Pi developer board powered by the KL730 chip. All keep raw data on-device, cutting latency, cost, and privacy risk for vision, speech, and generative AI workloads.
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