With the deepening integration of AIoT, intelligent edge applications are experiencing exponential growth. From real-time recognition in smart security to high-definition rendering in commercial displays, and from edge computing data processing to intelligent interactions in portable devices, the market demands greater AI computing power and multimedia processing capabilities from SoMs. Key requirements include robust edge AI inference performance, support for ultra-HD video codec, and an optimal balance between performance and power efficiency.

In response, Forlinx Embedded—a strategic partner of Rockchip—introduces the FET3572-C SoM powered by the RK3572 processor. Featuring a hardware-accelerated 4 TOPS NPU and an octa-core heterogeneous architecture backed by a comprehensive ecosystem, it delivers a versatile computing solution for edge AI scenarios, paving the way for embedded intelligence innovations.

Empowered by 4TOPS NPU for More Efficient Edge AI Inference

Equipped with a dedicated NPU offering 4 TOPS (INT8) computing power, the FET3572-C SoM addresses the critical bottlenecks of AI performance and inference speed at the edge. Its compatibility with INT4/INT8/INT16 mixed precision and frameworks such as TensorFlow and PyTorch facilitates straightforward deployment of a wide range of edge AI inference tasks.

From facial recognition in smart security to anomaly detection in industrial settings, or intelligent noise reduction in consumer electronics—the Forlinx Embedded FET3572‑C SoM enables real-time responses with its powerful computing capability. By eliminating reliance on cloud computing, it dramatically cuts data transmission costs and latency, delivering true ''local intelligence'' for edge devices.

Robust Foundation Balancing Performance and Power Consumption

Powerful AI and multimedia capabilities require a solid hardware foundation. Built on an octa-core heterogeneous architecture (2×Cortex‑A73 + 6×Cortex‑A53) and an advanced 8nm process, the board offers over 100% higher performance than previous mid-range platforms while reducing typical power consumption by more than 50%.

The dual A73 cores handle demanding AI inference and ultra-HD video processing, while the six A53 cores manage lighter tasks—ensuring peak power when needed and optimal efficiency during low loads.

Test results include an Antutu v10 score above 310,000 and standby power below 10mW, enabling support for high-performance loads like the 4 TOPS NPU and 8K codec while meeting the low-power demands of portable devices.

8K Codec: The Ultimate Ultra-HD Experience

Equipped with a high-performance multimedia unit, the board supports 8K decoding and 4K encoding across mainstream and open-source formats.

It integrates a 12 MP ISP for accurate color reproduction and supports 5 x camera input, ideal for multi‑channel capture and monitoring. With dual‑screen independent display (4K@60fps + 2K@60fps), it suits commercial displays, POS systems, digital signage, and more.

An efficient decoding architecture lowers system bandwidth and power use—delivering stunning 8K quality without compromising stability or energy efficiency.

Full-Scenario Adaptability

Beyond AI and multimedia, the board provides extensive connectivity:

• High‑speed interfaces: PCIe 2.1, dual Gigabit Ethernet
• Industrial buses: CAN‑FD, I2C
• Native support for LPDDR5/5X memory

It adapts seamlessly to smart security, commercial displays, industrial control, edge computing, and vehicle‑mounted systems—enabling everything from HD surveillance with real‑time AI analysis to local data processing and intelligent interaction.

Comprehensive Ecosystem & Support

To speed up development, the board supports Linux and Android and comes with full resources: driver source code, development manuals, and technical examples.

Backed by Forlinx Embedded's expertise, customers receive end‑to‑end support—from solution design and prototyping to mass production—helping shorten R&D cycles and accelerate time‑to‑market.

The All‑ound Edge AI Platform

As edge AI and ultra‑HD demands grow, the Forlinx Embedded FET3572‑C SoM stands out with its 4 TOPS NPU, 8K codec performance, and balanced power efficiency.

It delivers an efficient, stable, and cost‑effective core solution for upgrading intelligent devices across industries.

The FET3572‑C SoM is now open for pre‑orders. Developers and manufacturers are invited to explore collaboration—let's build more competitive intelligent products and drive the edge AI industry forward.

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