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AAEON has partnered with Kneron to deliver modules featuring their innovative AI Edge Computing processor, the KL520 Neural Processor Unit (NPU). The KL520 provides efficient AI computing performance of 0.56 TOPS per Watt, perfect for remote, mobile, and unmanned applications.
The M2AI-2280-520 features the energy efficient KL520 in a M.2 22x80mm form factor that’s equally cost efficient. AAEON Kneron Modules are compatible with all of our embedded solutions which support M.2 22x80mm modules. The M2AI-2280-520 with Kneron KL520 NPU offers the best balance of performance, efficiency and cost.
| SYSTEM | |
| IC | Kneron KL520 |
| TYPE | Integrated SoC |
| SUPPORTED FRAMEWORKS | ONNX, TensorFlow, Keras, Caffe |
| SUPPORTED MODEL | Vgg16, Resnet, GoogleNet, YOLO, Tiny YOLO, Lenet, MobileNet, DenseNet |
| MEMORY TYPE | LPDDR2 |
| NPU POWER EFFICIENCY | 0.35 TOPS |
| OVERALL POWER CONSUMPTION | 0.5 W |
| OTHERS | |
| OPERATING TEMPERATURE | 32°F ~ 158°F (0°C ~ 70°C) |
| STORAGE TEMPERATURE | -40°F ~ 185°F (-40°C ~ 85°C) |
| OPERATING HUMIDITY | 0% ~ 90% relative humidity, non-condensing |
| CERTIFICATION | CE/FCC Class A |
| Name | Type | Version | Release Date | |
| M2AI-2280-520,datasheet | Datasheet | V4.0 | 20 October 2020 |
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