OpenVINO Insights

What is OpenVINO?

OpenVINO (Open Visual Inference and Neural network Optimization) is a toolkit developed by Intel for optimizing and deploying AI inference. It enables developers to accelerate deep learning workloads across various Intel hardware, including CPUs, GPUs, VPUs (Vision Processing Units) like Intel Movidius, and FPGAs. OpenVINO is commonly used to improve the performance of computer vision applications, such as image recognition, object detection, and video analytics, by optimizing models for specific hardware and reducing latency.

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What other technologies are related to OpenVINO?

OpenVINO Competitor Technologies

TensorRT

TensorRT is an SDK for high-performance deep learning inference, similar to OpenVINO, and therefore a competitor.

mentioned alongside OpenVINO in 8% (315) of relevant job posts

DirectML

DirectML is Microsoft's low-level API for machine learning inference on Windows, thus a competitor.

mentioned alongside OpenVINO in 20% (54) of relevant job posts

OpenVINO Complementary Technologies

ONNX

ONNX (Open Neural Network Exchange) is an open format for representing machine learning models. OpenVINO supports ONNX as an input format, making it a complementary technology.

mentioned alongside OpenVINO in 6% (290) of relevant job posts

oneAPI

oneAPI is a unified programming model that includes tools and libraries that can be used alongside OpenVINO, and is developed by the same company, making it strongly complementary.

mentioned alongside OpenVINO in 20% (55) of relevant job posts

OpenCV

OpenCV is a library of programming functions mainly aimed at real-time computer vision, commonly used for preprocessing and postprocessing steps in deep learning pipelines that may use OpenVINO for inference, thus a complement.

mentioned alongside OpenVINO in 1% (254) of relevant job posts