M2AI-2280-520
AI Edge Computing Module with Kneron KL520 NPU, M.2 2280
- Kneron KL520 NPU (Designed by ARM architecture)
- M.2 B Key (22x80mm)
- Accelerator for AI Edge Computing
- Good for people monitoring, retail application
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.
Sub Title | AI Edge Computing Module with Kneron KL520 NPU, M.2 2280 | ||||||||||||||||||||||||||
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Packing List |
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Product Spec |
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SYSTEM
IC
Kneron KL520
Type
Integrated SoC
Support Framework
ONNX, TensorFlow, Keras, Caffe
Support Model
Vgg16, Resnet, GoogleNet, YOLO, Tiny YOLO, Lenet, MobileNet, DenseNet
Memory Type
LPDDR2
NPU Power Efficiency
0.35 TOPS
Overall Power Consumption
0.5W
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
SYSTEM | |
IC | Kneron KL520 |
Type | Integrated SoC |
Support Framework | ONNX, TensorFlow, Keras, Caffe |
Support Model | Vgg16, Resnet, GoogleNet, YOLO, Tiny YOLO, Lenet, MobileNet, DenseNet |
Memory Type | LPDDR2 |
NPU Power Efficiency | 0.35 TOPS |
Overall Power Consumption | 0.5W |
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 |
- M2AI-2280-520 Module x 1
- M3 screw x 1
- M2AI-2280-520 Module x 1
- M3 screw x 1