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openvino v2026.0.0

Created
Updated

Intel® Distribution of OpenVINO™ toolkit is an open-source toolkit for optimizing
and deploying AI inference. It can be used to develop applications and solutions based on deep learning tasks, such as: emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, etc. It provides high-performance and rich deployment options, from edge to cloud

# Usage

openvino provides CMake targets:

find_package(OpenVINO REQUIRED)
target_link_libraries(main PRIVATE openvino::runtime) 

# License

# Supported Platforms

!uwp & !x86 & !(android & arm32)

  • linux
  • osx
  • windows-arm64
  • windows-x64
  • uwp
  • windows-x86

# Features

Default features: cpu , gpu , npu , auto , auto-batch , hetero , ir , onnx , paddle , pytorch , tensorflow , tensorflow-lite

# auto default

Enables Auto plugin for inference

Dependencies:

No dependencies.

Host Dependencies:

No dependencies.

# auto-batch default

Enables Auto Batch plugin for inference, useful for throughput mode

Dependencies:

No dependencies.

Host Dependencies:

No dependencies.

# cpu

Enables CPU plugin for inference

Supports: !(windows & arm)
  • linux
  • osx
  • windows-x64
  • windows-arm64
Dependencies:

No dependencies.

Host Dependencies:

No dependencies.

# gpu

Enables GPU plugin for inference

Supports: x64 & !(osx | uwp)
  • linux
  • windows-x64
  • osx
  • windows-arm64
Dependencies:

No transitive dependencies.

Host Dependencies:
2 transitive dependencies:

# hetero default

Enables Hetero plugin for inference

Dependencies:

No dependencies.

Host Dependencies:

No dependencies.

# ir default

Enables IR frontend for reading models in OpenVINO IR format

Dependencies:

No dependencies.

Host Dependencies:

No dependencies.

# npu

Enables NPU plugin for inference

Supports: x64 & !(osx | uwp)
  • linux
  • windows-x64
  • osx
  • windows-arm64
Dependencies:
and 2 transitive dependencies:
Host Dependencies:
and 2 transitive dependencies:

# onnx default

Enables ONNX frontend for reading models in ONNX format

Dependencies:
and 2 transitive dependencies:
Host Dependencies:
and 2 transitive dependencies:

# paddle default

Enables PaddlePaddle frontend for reading models in PaddlePaddle format

Dependencies:
and 2 transitive dependencies:
Host Dependencies:
and 2 transitive dependencies:

# pytorch default

Enables PyTorch frontend to convert models in PyTorch format

Dependencies:

No dependencies.

Host Dependencies:

No dependencies.

# tensorflow default

Enables TensorFlow frontend for reading models in TensorFlow format

Dependencies:
and 2 transitive dependencies:
Host Dependencies:
and 2 transitive dependencies:

# tensorflow-lite default

Enables TensorFlow Lite frontend for reading models in TensorFlow Lite format

Dependencies:

No transitive dependencies.

Host Dependencies:
and 2 transitive dependencies:

# Dependencies

and one transitive dependency:

# Host Dependencies

# Dependents

# Host Dependents

No dependents.

# Contributors

  • Ilya Lavrenov's avatar Ilya Lavrenov
  • Lily Wang's avatar Lily Wang
  • Cheney Wang's avatar Cheney Wang
  • JonLiu1993's avatar JonLiu1993
  • Billy O'Neal's avatar Billy O'Neal
  • autoantwort's avatar autoantwort
  • Tatyana Raguzova's avatar Tatyana Raguzova
  • Park DongHa's avatar Park DongHa
  • Egor Tyuvaev's avatar Egor Tyuvaev
  • MonicaLiu's avatar MonicaLiu
  • Kai Pastor's avatar Kai Pastor
  • Dennis's avatar Dennis

# Changelog

and 27 more commits:

# Source