openvino/2026.2.1

Open Visual Inference And Optimization toolkit for AI inference

#ai#computer-vision#deep-learning#deploy-ai#diffusion-models#generative-ai#inference#llm-inference#natural-language-processing#nlp#optimize-ai#performance-boost#recommendation-system#speech-recognition#stable-diffusion#transformers#yolo

Using openvino

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Packages

Linuxx86_64Release

package IDe30adbe7cb739d511db36a03188b1613fc368f2f
Recipe revisiond0022e1e04038798900a232177b4b24d

compilergcc
compiler.cppstdgnu17
compiler.version13

optionsenable_auto=True enable_auto_batch=True enable_cpu=True enable_gpu=True enable_hetero=True enable_ir_frontend=True enable_onnx_frontend=True enable_paddle_frontend=True enable_pytorch_frontend=True enable_tf_frontend=True enable_tf_lite_frontend=True shared=True
Macosarmv8Release

package ID879d463045408afbc23979615809f8de2c2b50dd
Recipe revisiond0022e1e04038798900a232177b4b24d

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsenable_auto=True enable_auto_batch=True enable_cpu=True enable_hetero=True enable_ir_frontend=True enable_onnx_frontend=True enable_paddle_frontend=True enable_pytorch_frontend=True enable_tf_frontend=True enable_tf_lite_frontend=True shared=True
Macosx86_64Release

package ID398d4d9caf9d53bced8a65d7d5a6366b2aad4914
Recipe revisiond0022e1e04038798900a232177b4b24d

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsenable_auto=True enable_auto_batch=True enable_cpu=True enable_hetero=True enable_ir_frontend=True enable_onnx_frontend=True enable_paddle_frontend=True enable_pytorch_frontend=True enable_tf_frontend=True enable_tf_lite_frontend=True shared=True
Windowsx86_64Release

package ID56d69215040e7d860b78600b17114b202658d185
Recipe revisiond0022e1e04038798900a232177b4b24d

compilermsvc
compiler.cppstd17
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsenable_auto=True enable_auto_batch=True enable_cpu=True enable_gpu=True enable_hetero=True enable_ir_frontend=True enable_onnx_frontend=True enable_paddle_frontend=True enable_pytorch_frontend=True enable_tf_frontend=True enable_tf_lite_frontend=True shared=True

Dependencies

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Apache-2.0d0022e1e04038798900a232177b4b24d
!Apache-2.06d472ea54588200da5cb83b2ee2543fe
!Apache-2.027942f7c59f25ee4620f4749fb083036
Apache-2.0b67590266bb49b4cce5d86435799d496
!Apache-2.00ce510753802a860b3255b947a840e75
!Apache-2.0fa8d5bc6a1935d6982bf833363e75d31
!Apache-2.01ea02b09a92818abd68f9a56b663771e
!Apache-2.028eb1adaca28fa821e6540536f80ffa0
!Apache-2.0596e6a23f551e375b97d2f0d452ab0db
!Apache-2.0a21242bf0237e0a6acc1a0464f6c732a
!Apache-2.0402c1d04109f8cda818b03ecfc4728fc
!Apache-2.04b3b9359432c56fe277eb9d9b87bd8ec
!Apache-2.0e5f292f9d2262f42330863304505096d
!Apache-2.0b25834254b1b82952400c6aa9509fe0c
!Apache-2.05a6e69bbf02b83a18a904cf22837df16
!Apache-2.034fb6587c4e7ccb5110569a7c15de89c
!Apache-2.0d16556d8e1f81f2b9c11374191a74246
!Apache-2.09d2ae9c24a5b6efa9e1b53b2d0bc6485

🔍 Ready to secure your dependencies in seconds?

  1. Register for free at audit.conan.io/register.
  2. Save your token and activate it via the confirmation email you receive.
  3. Configure Conan to use your token:
    conan audit provider auth conancenter --token=<token>
  4. Scan for vulnerabilities:
    # Check a specific reference
    conan audit list openvino/2026.2.1
    # Scan the entire dependency graph
    conan audit scan --requires=openvino/2026.2.1

Note: For more details on the Conan Audit command, please read this post.

Tip: To avoid exposing your token in shell history, authenticate using an environment variable (e.g. CONAN_AUDIT_PROVIDER_TOKEN_CONANCENTER=<token>). For more info, see the documentation.

conanv2026.2.1
[![Conan Center](https://img.shields.io/conan/v/openvino)](https://conan.io/center/recipes/openvino)