Intel® introduces the OpenVINO™ toolkit, an open-source toolkit designed to simplify the deployment process of deep learning models across a variety of Intel® hardware. The toolkit provides developers with the tools needed to convert and optimize models trained using popular frameworks such as TensorFlow*, PyTorch*, and Caffe*. It ensures seamless deployment across diverse Intel environments, whether on-premise, on-device, in the browser, or in the cloud. The 2023.0 release of the OpenVINO™ toolkit brings forth new features, performance enhancements, increased model support, and more, making AI innovation more accessible to developers.
Developers and AI enthusiasts aiming to optimize and deploy deep learning models efficiently across diverse Intel platforms.
The OpenVINO™ toolkit by Intel® offers a comprehensive solution for converting, optimizing, and deploying deep learning models across various Intel platforms, ensuring high performance and efficiency.