OpenVINO
OpenVINO is a runtime maintained by Intel43. Its source code is public1 under the Apache License 2.021.
OpenVINO is Intel's open-source toolkit for converting, optimizing, and running deep learning models, including language and generative models. It converts models from PyTorch, TensorFlow, ONNX, PaddlePaddle, JAX, and other frameworks and runs inference on CPUs (x86 and ARM), Intel GPUs, and Intel NPUs, with APIs in C++, Python, C, and Node.js.14
- Website: Website (external site: intel.com)
- Repository: Repository (external site: github.com)
- Documentation: Documentation (external site: docs.openvino.ai)
- License: LICENSE (external site: github.com)
- Release notes: Reviewed release (external site: github.com)
Availability and license
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Reviewed qualifying license recorded — check scope and conditions
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| Source codeIs the source code publicly readable? | Public | Public repository in the openvinotoolkit GitHub organization.1 |
| DocumentationIs user documentation published? | Public | Official documentation covers installation, model preparation, inference devices, GenAI, and system requirements.15 |
| InstallationAre installation instructions or packages publicly available? | Public | The README gives `pip install -U openvino` and links to installation guides for other distributions.1 |
| Supported platformsAre supported operating systems or hardware documented? | Public | The system requirements list Windows 10 and 11, Ubuntu 22.04, 24.04, and 26.04, Red Hat Enterprise Linux 8 and 9, openSUSE Tumbleweed, and macOS 12.6 or later on ARM64 for CPU inference, including Intel, ARM, and Apple silicon CPUs; Intel Arc, Iris Xe, and data center GPUs; and Intel NPUs on Windows 11 and Ubuntu. Python 3.10 to 3.14 is listed.5 |
| Release statusAre versioned releases published? | Public | Reviewed release 2026.4.1, published October 1, 2026. This entry describes the project rather than one release.6 |
What it is useful for
Run and use notes
Organization context
In the news
Intel releases OpenVINO 2026.4 with multi-token prediction decoding in OpenVINO GenAI
Intel published OpenVINO 2026.4.0 on GitHub on September 16, 2026. The release notes say OpenVINO GenAI adds Multi-Token Prediction (MTP) speculative decoding for Gemma 4, Qwen3.5 and Qwen3.6 on CPUs and GPUs, and introduces DFlash acceleration for Qwen models on GPUs as a preview. Newly supported models on CPU and GPU include Kokoro-82M, Qwen3-ASR, Muse Glimmer 30B, Qwen3.8 27B and Gemma 4 12B. OpenVINO GenAI also adds an ASRPipeline for Node.js, and the notes say support for Python 3.10 will be discontinued in OpenVINO 2026.5. USASI has not tested this release.
U.S. eligibility
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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Cite this page
APA style
USASI. (2026, October 1). OpenVINO. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/openvino/
BibTeX
@misc{usasi_openvino,
author = {{USASI}},
title = {OpenVINO},
year = {2026},
month = oct,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/openvino/}},
note = {United States of America Superintelligence. Last updated 2026-10-01}
}The date is when this page was last updated. Add the date you read it if your style needs one.
For maintainers: a “Listed in USASI” badge
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