OpenVINO
OpenVINO (Open Visual Inference and Neural network Optimization) is an open-source toolkit developed by Intel for optimizing and deploying deep learning inference on Intel hardware, including CPUs, GPUs, VPUs, and FPGAs. It accelerates AI workloads by converting models from frameworks like TensorFlow, PyTorch, and ONNX into an optimized intermediate representation and executing them efficiently across Intel platforms. The toolkit supports a wide range of computer vision, natural language processing, and other AI applications.
Developers should learn OpenVINO when deploying AI models on Intel-based edge devices, IoT systems, or servers to achieve high performance and low latency inference. It is particularly useful for computer vision tasks in real-time applications like surveillance, robotics, and autonomous vehicles, where hardware acceleration is critical. Using OpenVINO ensures compatibility with Intel's hardware ecosystem and provides tools for model optimization, quantization, and benchmarking.