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Edge AI Hailo Kinara Ara-2 Embedded system
AIM-M2

40 TOPS M.2 AI Accelerator Module

Geniatech AIM-M2 is a cost-effective M.2 AI accelerator powered by the Kinara Ara-2 NPU. Leveraging the standard M.2 interface, it enables seamless integration into edge servers, embedded systems, and industrial PCs. Optimized for transformers and generative AI models, the AIM-M2 supports LLaMA 2.0, YOLOv8, and major AI frameworks such as ONNX, TensorFlow, and PyTorch. It is ideal for edge AI deployment.

  • 40 TOPS Performance: Powered by Kinara Ara-2 NPU
  • M.2 Interface: Easy integration into industrial and embedded platforms
  • AI framework compatibility with TensorFlow, PyTorch, ONNX
  • Optimized for transformer and generative AI models
  • Supports LLaMA 2.0, YOLOv8, and advanced AI models
  • Supports concurrent multi-stream and multi-model inferencing
  • Fast inference: Stable Diffusion 1.4 ~10s (20 iterations), ResNet50 2ms latency
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Chip Kinara Ara-2
AI performance 40 TOPS, Support llama2.0 and Yolov8
Host Processor NXP,Nvidia,Qualcomm,Xilinx
AI Model Frameworks Supported TensorFlow,Torchscript, PyTorch&ONNX, Caffe, Mxnet
Memory Up to 16GB LPDDR4(X)
Host Interface M-Key(4-lane PCIE Gen4)
OS Support Linux, Windows
Power Consumption(Typical) 12W
Operating Temperature 0℃~70℃
Dimensions 22×80mm

AIM-M2 Specification
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