Deploying OpenVINO™ Toolkit on Elkhart Lake This document will lead you through the process of deploying the Intel® Distribution of the OpenVINO™ Toolkit on I-Pi SMARC Elkhart Lake. Installation of the OpenVINO™ Toolkit on the I-Pi SMARC Elkhart Lake can be found here. The link allows you to choose your desired package based on your host system; it is available for Windows, Linux, and macOS. Included in the download package Runtime/Inference Engine Model Optimizer Benchmark Tool Accuracy Checker Annotation Converter Post-Training Optimization Tool Model Downloader and other Open Model Zoo tools The latest version of OpenVINO™ Toolkit 2022.1 has pre-trained models and algorithms. This version comes with a number of tutorials and frameworks. These frameworks can be adjusted to suit your needs. Frameworks available on latest OpenVINO™ Toolkit Caffe Kaldi MXNet ONNX PyTorch TensorFlow 1.x TensorFlow 2.x OpenVINO Notebooks can be used to create your own model based on your requirements. The I-Pi SMARC Elkhart Lake platform enables the training of models and algorithms on both a CPU and GPU. The I-Pi SMARC Elkhart Lake is also VPU compatible. If you wish to enable the VPU, you can use Intel® Neural Compute Stick 2. To make sure you don’t miss any updates, follow our YouTube channel.