macOS
brew install openvinolocal Homebrew formula metadata
brew
openvino のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。
インストール
brew install openvinolocal Homebrew formula metadata
sudo dnf install openvinoFedora Rawhide package metadata · openvino · ソース: dl.fedoraproject.org
nix profile install nixpkgs#openvinonixpkgs package indexes · pkgs/by-name/op/openvino/package.nix · ソース: api.github.com
sudo zypper install libopenvino2620openSUSE Tumbleweed package metadata · libopenvino2620 · ソース: download.opensuse.org
概要
Open Visual Inference And Optimization toolkit for AI inference
履歴
OpenVINO, short for Open Visual Inference and Neural Network Optimization, is Intel's open source toolkit for optimizing and deploying AI inference. It grew from a computer-vision inference toolkit into a broader runtime for conventional deep learning, generative AI, model serving, and Intel CPU, GPU, and NPU deployment.
Intel introduced OpenVINO as a distribution for taking trained neural-network models and running them efficiently on Intel hardware. The project standardized a workflow around model conversion, graph optimization, a runtime API, and device plugins rather than training models from scratch.
Early OpenVINO packaging centered on the Model Optimizer and Inference Engine. The 2022 release line introduced OpenVINO API 2.0, aligning inputs and outputs more closely with common framework tensor conventions while retaining older Inference Engine and nGraph APIs during the transition.
The 2023 and 2024 release notes show the toolkit expanding beyond classic computer vision into speech, recommendation systems, natural language processing, Stable Diffusion, transformer models, LLM-oriented optimizations, OpenVINO GenAI, model-serving workflows, JavaScript access, and NPU support for Intel Core Ultra systems.
OpenVINO's adoption path follows Intel's hardware platform strategy: give developers one inference API and deployment stack across laptops, edge devices, servers, and AI PCs. The public GitHub organization includes the main runtime, NNCF compression tooling, notebooks, GenAI libraries, and OpenVINO Model Server, which indicates a package family rather than a single binary.
It became a package-manager concern because AI applications increasingly need native runtimes, Python wheels, CLI tools such as ovc and benchmark_app, device plugins, and framework bridges. OpenVINO packages are used by developers who want to benchmark models, convert framework artifacts, reduce inference cost with quantization or compression, and deploy on Intel hardware without binding directly to one training framework.
Developers use OpenVINO to load or convert models from frameworks such as PyTorch, TensorFlow, ONNX, TensorFlow Lite, PaddlePaddle, and JAX/Flax; optimize or compress them; then run inference through C++, Python, C, Node.js, server, or GenAI APIs. Operators also use benchmark_app to measure throughput and latency on target devices.
The package is most visible in edge AI, AI PC, industrial vision, local LLM, and model-serving workflows where deployment constraints matter more than model training.
OpenVINO is the kind of package that turns dependency management into hardware enablement: a formula or distro package can decide whether an AI app has CPU, GPU, or NPU acceleration and whether model artifacts from several ML ecosystems can share one runtime.
It is also a moving example of AI packaging churn: native C++ libraries, Python and JavaScript bindings, command-line converters, release-year documentation, and device plugins all need to stay aligned.
セキュリティ状態
narrow executable package without higher-risk signals.
リスク グリーン · 信頼度 低 · appliance
エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。
実行可能ファイル
| コマンド | 種類 | 公開範囲 | メモ |
|---|---|---|---|
benchmark_app | cli | グローバル実行可能ファイル | |
ovc | cli | グローバル実行可能ファイル |
鮮度
これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。
https://github.com/openvinotoolkit/openvino
インストールメタデータ
| パッケージキー | brew:openvino |
|---|---|
| バージョン | 2026.2.1 |
| パッケージマネージャ | Homebrew |
| パッケージマネージャページ | https://formulae.brew.sh/formula/openvino |
| ホームページ | https://docs.openvino.ai |
| リポジトリ | https://github.com/openvinotoolkit/openvino |
| 上流ドキュメント | https://docs.openvino.ai/ |
| ライセンス | Apache-2.0 |
| ソースアーカイブ | https://github.com/openvinotoolkit/openvino/archive/refs/tags/2026.2.1.tar.gz |
| 最終更新 | 2026-06-20T05:07:44Z |
| Pulse | updated |
| 依存関係 | abseil, nlohmann-json, numpy, onnx, protobuf, pugixml, snappy, tbb |
| ビルド依存関係 | cmake, flatbuffers, pkgconf, pybind11, python@3.14, scons |
| Bottle | 利用可能 (対象 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定義 |
| サービス | 宣言なし |
レジストリ情報
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | openvino |
| Version Scheme | 0 |
| Revision | 1 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
ソースデータベース一致
一致は外部パッケージマネージャインデックスから取得され、ローカルの Automic Vault パッケージリンクとは分けて表示されます。
openvino
nix profile install nixpkgs#openvinointel-npu-compiler 2025.1.0-14.fc44
OpenVINO NPU Compiler
https://github.com/openvinotoolkit/openvino
sudo dnf install intel-npu-compilerlibopenvino-ir-frontend 2025.1.0-14.fc44
OpenVINO IR Frontend
https://github.com/openvinotoolkit/openvino
sudo dnf install libopenvino-ir-frontendlibopenvino-onnx-frontend 2025.1.0-14.fc44
OpenVINO ONNX Frontend
https://github.com/openvinotoolkit/openvino
sudo dnf install libopenvino-onnx-frontendlibopenvino-paddle-frontend 2025.1.0-14.fc44
OpenVINO Paddle Frontend
https://github.com/openvinotoolkit/openvino
sudo dnf install libopenvino-paddle-frontendlibopenvino-pytorch-frontend 2025.1.0-14.fc44
OpenVINO PyTorch Frontend
https://github.com/openvinotoolkit/openvino
sudo dnf install libopenvino-pytorch-frontendlibopenvino-tensorflow-frontend 2025.1.0-14.fc44
OpenVINO Tensorflow Frontend
https://github.com/openvinotoolkit/openvino
sudo dnf install libopenvino-tensorflow-frontendlibopenvino-tensorflow-lite-frontend 2025.1.0-14.fc44
OpenVINO Tensorflow-lite Frontend
https://github.com/openvinotoolkit/openvino
sudo dnf install libopenvino-tensorflow-lite-frontendopenvino 2025.1.0-14.fc44
Toolkit for optimizing and deploying AI inference
https://github.com/openvinotoolkit/openvino
sudo dnf install openvinoopenvino-devel 2025.1.0-14.fc44
Development files for openvino
https://github.com/openvinotoolkit/openvino
sudo dnf install openvino-developenvino-plugins 2025.1.0-14.fc44
OpenVINO Plugins
https://github.com/openvinotoolkit/openvino
sudo dnf install openvino-pluginspython3-openvino 2025.1.0-14.fc44
OpenVINO Python API
https://github.com/openvinotoolkit/openvino
sudo dnf install python3-openvinolibopenvino2620 2026.2.0-1.1
Shared library for OpenVINO toolkit
https://github.com/openvinotoolkit/openvino
sudo zypper install libopenvino2620libopenvino_c2620 2026.2.0-1.1
Shared C library for OpenVINO toolkit
https://github.com/openvinotoolkit/openvino
sudo zypper install libopenvino_c2620libopenvino_ir_frontend2620 2026.2.0-1.1
Paddle frontend for Intel OpenVINO toolkit
https://github.com/openvinotoolkit/openvino
sudo zypper install libopenvino_ir_frontend2620libopenvino_onnx_frontend2620 2026.2.0-1.1
Onnx frontend for OpenVINO toolkit
https://github.com/openvinotoolkit/openvino
sudo zypper install libopenvino_onnx_frontend2620ソース経路
このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。
View the package source record on GitHub.