Aetina launches AIE-KR1B-B1 ARM-based Edge AI system flexible M.2 AI acceleration architecture for diverse vision AI applications. It is powered by the Rockchip RK3588 8-core 64-bit processor with integrated NPU.
The AIE-KR1B-B1 provides a PCIe Gen3 x4 M.2 expansion interface for discrete AI accelerators, allowing customers to select accelerator options based on workload, performance, power, and cost requirements without redesigning the host hardware.
The AIE-KR1B-B1 is part of Aetina’s AI Vision Solutions, enabling flexible integration of M.2 AI accelerators through its PCIe Gen3 x4 M.2 interface. It supports AI accelerator options from Axelera AI, DEEPX, EdgeCortix, and MemryX, spanning a compute range of 25 to 214 TOPS based on vendor specifications. Customers can select an accelerator according to AI model, performance, power, and cost requirements while maintaining the same RK3588-based host platform.
The AIE-KR1B-B1 uses a heterogeneous computing architecture to divide these workloads across dedicated processing resources. The Rockchip RK3588 serves as the host processor, handling the host-side vision pipeline, while the primary AI inference workload can be offloaded to a dedicated M.2 AI accelerator. This allows the RK3588 to focus on video and system processing while the accelerator focuses on AI inference.
The AIE-KR1B-B1 is designed for edge AI workloads in which multiple video sources must be processed locally before or alongside AI inference. Target applications include video surveillance, manufacturing inspection, retail analytics, traffic monitoring, logistics safety, smart infrastructure, and edge AI gateways.
