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The KL730 AI SoC is powered by Kneron's innovative third-generation reconfigurable NPU architecture, delivering up to 8 TOPS of computing power. This architecture offers enhanced efficiency for the latest CNNnetwork architectures and serves transformer applications by reducing DDR bandwidth requirements significantly. The chip excels in video processing, supporting 4K 60FPS output and excelling in areas such as noise reduction and low-light imaging. It's ideal for applications in intelligent security, autonomous driving, and video conferencing, among others.
The KL520 AI SoC is a groundbreaking chip that initiated Kneron's journey in edge AI. It is characterized by its compact size, energy efficiency, and robust performance, suitable for a host or companion AI co-processor role. Compatible with multiple 3D sensor technologies, the KL520 excels in smart home applications like smart locks and cameras. Its small power footprint allows operations on simple power supplies like AA batteries, setting it apart in the market.
The KL630 AI SoC introduces state-of-the-art NPU architecture, being the first to support both Int4 precision and transformer neural networks. It offers notable energy efficiency and is built on the ARM Cortex A5 CPU, providing up to 1eTOPS@int4. The KL630 supports various AI frameworks, making it suitable for a wide array of edge AI devices and applications that require advanced ISP capabilities and 5M@30FPS HDR imaging.
Equipped with a new NPU architecture, the KL530 AI SoC stands out as a versatile chip supporting INT4 precision and transformers with remarkable efficiency. Designed for low-power consumption, it attains up to 1 TOPS@INT4 while maintaining high processing efficiency. Its smart ISP enhances image quality through AI inference. The KL530 is ideal for AIoT applications and multimedia processing, providing high-efficiency compression with less than 500 ms cold start time.
The KL720 AI SoC offers an industry-leading performance-to-power ratio of 0.9 TOPS per Watt, rendering it suitable for high-performance applications. It's two to four times more power-efficient than its competitors, making it ideal for devices requiring significant processing capability. The chip facilitates real-time processing of 4K images and supports full HD video and 3D sensing, addressing applications in IP cams, smart TVs, AI glasses, and more, enabling gesture control for gaming and voice recognition.
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