Intel NCS2
Easily supports 2 DNN frameworks: Tensorflow, Caffe Also works efficiently with Caffe based CNNs.
NOTE: OpenVINO platform: Input (TF/Caffe Trained Model) → Output (Movidius, CPU, Embedded gen GPU Target)
Basically OpenVINO is a “Neural Network Compression Framework (NNCF)”
Deep Learning Models
- SqueezeNet
- GoogLeNet
- Tiny YOLO
- MobileNet SSD
- AlexNet
The Google Edge TPU (aka Google Coral)
The Edge TPU comes in a USB stick variant. It is a small ASIC for high performance ML inferencing on low-end devices.
It can easily execute the latest mobile version models including MobileNet V2 at 100+ fps. Supports TensorFlow Lite easily.
Can easily execute deep feed forward NNs (DFFs) including CNNs, which makes it a good choice for different vision based ML applications.
NVIDIA Jetson Nano
Uses Tegra SoC