Forlinx FET3572-C SoM is rapidly redefining the hardware landscape for intelligent edge applications as the integration of AIoT deepens across enterprise sectors. From executing real-time facial recognition in commercial smart security protocols to driving high-definition rendering in advanced industrial displays, modern market demands dictate a critical need for superior AI computing power. B2B infrastructure requires solutions that do not just process data, but do so with ultra-HD multimedia capabilities and an uncompromising balance between peak performance and strict power efficiency.
In direct response to these evolving industrial requirements, Forlinx Embedded has introduced a robust solution powered by the Rockchip RK3572 processor. Featuring a hardware-accelerated 4 TOPS NPU, an advanced octa-core heterogeneous architecture, and an extensive enterprise-grade ecosystem, this board delivers a versatile computing foundation explicitly engineered for edge AI scenarios.
Architectural Supremacy: Balancing Power and Efficiency
At the heart of demanding AI and multimedia workloads lies the necessity for a resilient hardware architecture. Built on a sophisticated 8nm process technology, the board leverages an octa-core heterogeneous CPU design consisting of two high-performance Cortex-A73 cores clocked at 2.2GHz, alongside six energy-efficient Cortex-A53 cores operating at 2.1GHz.
This specific architectural split ensures that the dual A73 cores can autonomously tackle heavy AI inference tasks and intensive ultra-HD video processing without bottlenecking the system. Meanwhile, the six A53 cores seamlessly manage lighter background operations and routine system processes. The result is a platform that delivers over 100% higher performance compared to previous mid-range modules while simultaneously reducing typical power consumption by more than 50%. With an Antutu v10 benchmark score exceeding 310,000 and an exceptional standby power draw of less than 10mW, it effortlessly sustains high-performance loads while strictly adhering to the thermal and power constraints of industrial environments.
Accelerating Inference with a 4 TOPS NPU
Addressing the most critical bottleneck of localized edge computing—inference latency—this System-on-Module is equipped with a dedicated Neural Processing Unit (NPU) capable of delivering 4 TOPS of INT8 computing power. This dedicated silicon allows for the immediate, localized execution of complex AI models without the inherent latency and bandwidth costs associated with cloud computing reliance.
The NPU boasts comprehensive compatibility with INT4, INT8, and INT16 mixed-precision operations. Furthermore, it natively supports mainstream machine learning frameworks such as TensorFlow and PyTorch. This significantly reduces the friction involved in deploying sophisticated edge AI tasks. Whether the application requires real-time anomaly detection on an automated factory floor, predictive maintenance in industrial control systems, or high-speed visual data parsing in smart security networks, the hardware ensures immediate, localized, and highly secure algorithmic responses.
8K Video Codec for the Ultimate Ultra-HD Experience
Beyond raw neural processing, the embedded module excels in commercial multimedia rendering. It features a high-performance multimedia unit capable of seamless 8K decoding and 4K encoding across a wide spectrum of mainstream and open-source video formats.
To ensure commercial displays and digital signage systems output pristine visuals, the processor integrates a highly accurate 12-Megapixel Image Signal Processor (ISP) for flawless color reproduction. The system uniquely supports input from up to five individual cameras simultaneously, making it an ideal core for multi-channel commercial monitoring and HD surveillance arrays. Furthermore, the hardware drives dual-screen independent displays at varying resolutions (such as a 4K output at 60fps running concurrently with a 2K output at 60fps). This highly efficient decoding architecture minimizes system bandwidth saturation, ensuring that stunning 8K visual quality is delivered without sacrificing overall system stability or generating excessive thermal output.
Full-Scenario Enterprise Adaptability
To meet the rigorous standards of modern B2B deployments, the hardware provides an extensive array of high-speed and industrial communication interfaces. System architects can utilize native PCIe 2.1 lanes and dual Gigabit Ethernet ports for rapid data offloading. For factory-floor integration, traditional industrial buses such as CAN-FD and I2C are fully supported. Memory bandwidth is secured through native support for high-speed LPDDR5 and LPDDR5X configurations (ranging from 2GB to 8GB), alongside reliable eMMC storage.
Supported by extensive operating system options—including Debian 13, Linux 6.12, Android 16, and the proprietary ForlinxDesktop 24.04—development teams are provided with a complete suite of resources. By supplying full driver source code, detailed development manuals, and practical technical examples, Forlinx Embedded ensures that enterprise clients experience drastically shortened R&D cycles, moving swiftly from prototype to mass production in the highly competitive edge AI market.
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