About OpenVINO#

OpenVINO is a toolkit for simple and efficient deployment of various deep learning models. In this section you will find information on the product itself, as well as the software and hardware solutions it supports.

OpenVINO (Open Visual Inference and Neural network Optimization) is an open-source software toolkit designed to optimize, accelerate, and deploy deep learning models for user applications. OpenVINO is actively developed by Intel® to work efficiently on a wide range of Intel® hardware platforms, including CPUs (x86 and Arm), GPUs, and NPUs.

Features#

One of the main purposes of the OpenVINO toolkit is to streamline integration and deployment of deep learning models. Yet its feature set is much wider, offering various optimization and implementation options.

To learn about the main properties of OpenVINO, see the Key Features.

Architecture#

To learn more about how OpenVINO works, read the Developer documentation on its architecture and core components.

OpenVINO Ecosystem#

Along with the primary components of model optimization and runtime, the toolkit also includes:

Community#

OpenVINO community plays a vital role in the growth and development of the open-sourced toolkit. Users can contribute to OpenVINO and get support using the following channels:

Case Studies#

OpenVINO has been employed in various case studies across a wide range of industries and applications, including healthcare, retail, safety and security, transportation, and more. Read about how OpenVINO enhances efficiency, accuracy, and safety in different sectors on the success stories page.