Mini-AI-720
AI Edge Computing Module with Kneron KL720 NPU
Features
- Kneron KL720 NPU (Designed by ARM architecture)
- Mini card (PCIe[x1] interface,Full size)
- Accelerator for AI Edge Computing
- Enhanced performance to process high resolution video and graphic related computing
Overview
Specifications
Mini-AI-720
System | |
| IC | Kneron KL720 |
| Type | ARM CM & DSP |
| Support Framework | Pytorch, ONNX, TensorFlow 1.6, Tensorflow lite, Keras, Caffe |
| Support Model | Resnet, GoogleNet, YOLO, Tiny YOLO, MobileNet-SSD, DenseNet, RNN, LSTM |
| Memory Type | LPDDR3 |
| NPU Performance | 1.4 TOPS |
| Overall Power Consumption | 5W TDP |
Others | |
| Operating Temperature | 32°F~122°F (0°C ~ 50°C with cooler 5m/s) |
| Storage Temperature | 32°F~158°F (0°C~70°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.