OpenVINO™ (Open Visual Inference and Neural Network Optimization) is a free, open-source toolkit developed by Intel. It enables developers to optimize and deploy AI inference models (deep learning models) on a variety of Intel hardware, including CPUs, GPUs, VPUs, and FPGAs. The toolkit provides a comprehensive suite of tools, libraries, and samples designed to accelerate computer vision and deep learning workloads at the edge, in the cloud, and on client devices. Its primary objective is to boost the performance and efficiency of AI inference for applications across various domains, such as computer vision, natural language processing, and audio processing, facilitating the deployment of real-world AI solutions. It helps developers convert, optimize, and run models from popular frameworks like TensorFlow, PyTorch, and ONNX, making AI model deployment more accessible and efficient on Intel platforms.
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