OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference.
- Boost deep learning performance in computer vision, automatic speech recognition, natural language processing and other common tasks
- Use models trained with popular frameworks like TensorFlow, PyTorch and more
- Reduce resource demands and efficiently deploy on a range of Intel® platforms from edge to cloud
Train, Optimize, Deploy
* The ONNX format is also supported, but conversion to OpenVINO is recommended for better performance.
Want to know more?
Learn how to download, install, and configure OpenVINO.
Open Model Zoo
Browse through over 200 publicly available neural networks and pick the right one for your solution.
Learn how to convert your model and optimize it for use with OpenVINO.
Learn how to use OpenVINO based on our training material.
Try OpenVINO using ready-made applications explaining various use cases.
Learn about the alternative, web-based version of OpenVINO. DL Workbench container installation Required.
Learn about OpenVINO's inference mechanism which executes the IR, ONNX, Paddle models on target devices.
Tune & Optimize
Model-level (e.g. quantization) and Runtime (i.e. application) -level optimizations to make your inference as fast as possible.
View performance benchmark results for various models on Intel platforms.