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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  • AI processor
    Kinara Ara-2 AI processor:
    40 TOPS (int8);
  • Performance
    Stable Diffusion 1.4: 7 sec/image
    Llama2-7B: 12 output tokens/sec
    MobileNetV1 SSD: 974 IPS (1.03 ms latency)
  • Frameworks Supported
    TensorFlow, PyTorch, ONNX
  • Host Interface
    M.2 (M-Key, 4-lane PCIe Gen 4)
  • Storage
    Up to 16GB LPDDR4(X)
  • OS
    Linux, Windows
  • Power
    12W, 3.3V DC, Heatsink Cooling
  • Temperature
    Operating temperature: 0℃~70℃
    Storage Temperature: -40-85°
  • Dimesions
    22*80mm
  • Host Processor
    NXP,Nvidia,Qualcomm,Xilinx

AI Applications:

  • Smart cities:Public safety,intelligent mobility,health monitoring,infrastructure&services
  • Industry4.0:manufacturing automation,robotic vision,safety&security
  • Smart retail:automated store,smart analytics,targeted advertising
  • Smart home:Lifestyle&entertainment,saftty&security
  • Drones:sense,avoid and navigate
  • Facial Recognition
  • Object Localization and Detection
  • Semantic Segmentation
  • Pose Estimation

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