AI Edge Computing Module with Kneron KL520 NPU
- Kneron KL520 NPU (Designed by ARM architecture)
- Mini card(USB2.0 interface,Full size)
- 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 0.35 TOPS per Watt, perfect for remote, mobile, and unmanned applications.
The MINI-AI-520 features the energy efficient KL520 in a mPCIe (Mini-Card, Full Sized) form factor that’s equally cost efficient. AAEON Kneron Modules are compatible with all of our embedded solutions which support mPCIe modules. The MINI-AI-520 with Kneron KL520 NPU offers the best balance of performance, efficiency and cost.
|Support Framework||ONNX, TensorFlow, Keras, Caffe|
|Support Model||Vgg16, Resnet, GoogleNet, YOLO, Tiny YOLO, Lenet, MobileNet, DenseNet|
|NPU Performance||0.35 TOPS|
|Overall Power Consumption||0.5 W|
|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|
For packing list, detailed specifications and other product information, download the Datasheet or User Manual.