OpenVINO is an open-source set of tools for converting, shrinking and running trained AI models efficiently, built to get the most from Intel CPUs, GPUs and NPUs.
In plain words
A model trained in PyTorch or TensorFlow is not always fast when you deploy it. OpenVINO takes models from those and other frameworks, converts them to its own format, can compress them, and then runs them with a runtime tuned for Intel hardware. You can run the model inside your own program or put it behind OpenVINO Model Server, including on Kubernetes. It covers vision, speech and language models.
A quick example
Imagine a shop that wants a camera app to count people on an ordinary Intel laptop with no separate graphics card. The team takes a trained detection model, converts it with OpenVINO, and runs it on the laptop's CPU or built-in GPU instead of buying new hardware.
Where you'll meet it
- Running AI on Intel CPUs, GPUs and NPUs at the edge or in the cloud.
- Serving models with OpenVINO Model Server.
- Speeding up Hugging Face models through Optimum Intel.
Related
Sources
- DocsOpenVINO documentation, Intel · read 29 Sept 2026
- Docsopenvinotoolkit/openvino, OpenVINO toolkit (GitHub) · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.