OpenVino
Paid
4.9
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OpenVino

Developer Tools

OpenVINO™ toolkit optimizes deep learning inference for computer vision, speech recognition, NLP, and more.

OpenVINO™ Toolkit: Streamlining Deep Learning Inference

Intel® introduces the OpenVINO™ toolkit, an open-source toolkit designed to simplify the deployment process of deep learning models across a variety of Intel® hardware. The toolkit provides developers with the tools needed to convert and optimize models trained using popular frameworks such as TensorFlow*, PyTorch*, and Caffe*. It ensures seamless deployment across diverse Intel environments, whether on-premise, on-device, in the browser, or in the cloud. The 2023.0 release of the OpenVINO™ toolkit brings forth new features, performance enhancements, increased model support, and more, making AI innovation more accessible to developers.

Key Features:

  • Convert and optimize models from popular training frameworks
  • Deploy models across various Intel hardware and environments
  • Enhanced model support and device portability
  • High inferencing performance with minimal code changes
  • Comprehensive resources for learning and implementation

Ideal Use Case:

Developers and AI enthusiasts aiming to optimize and deploy deep learning models efficiently across diverse Intel platforms.

Why use OpenVINO™ Toolkit:

  • Simplified model conversion and optimization process
  • Broad support for popular deep learning frameworks
  • Seamless deployment on diverse Intel environments
  • Continuous updates and enhancements for improved performance

tl;dr:

The OpenVINO™ toolkit by Intel® offers a comprehensive solution for converting, optimizing, and deploying deep learning models across various Intel platforms, ensuring high performance and efficiency.

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