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<p data-start="90" data-end="487">As artificial intelligence continues to move from cloud computing to edge devices, traditional single-chip solutions are facing increasing challenges in handling complex AI workloads. Modern edge AI applications such as robotics, autonomous systems, machine vision, and intelligent industrial equipment require higher computing performance, lower latency, and more flexible hardware architectures.

<p data-start="489" data-end="862">A <strong data-start="491" data-end="552">custom RK3588 and NVIDIA heterogeneous computing platform combines the advantages of two powerful computing architectures, creating a more efficient edge AI solution. By assigning different tasks to different processors, this architecture enables optimized AI inference, real-time control, multimedia processing, and industrial communication in one integrated system.

<p data-start="864" data-end="1085">Portworld provides customized heterogeneous computing solutions that combine <strong data-start="941" data-end="1026">Rockchip RK3588, NVIDIA AI platforms, and industrial hardware design capabilities to help customers develop next-generation AI edge devices.

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