Innovative CPU Solutions

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To deploy AI inference from multiple endpoints and process license plates as accurately as possible, it is fundamental to streamline the software development pipeline with consistent tools and programming languages across all deployment locations. Previous models faced a number of challenges on this front, including data-loading bottlenecks, SDK complexity, custom kernel requirements, and the inability to maintain stability while executing inference in multiple contexts. In response, Cpu recognized the need for an optimized solution that addresses those needs while also providing fast time to market.

The Intel Distribution of OpenVINO toolkit optimizes deep learning models and offers a simple and unified API for inference that can switch deployment targets easily and eliminate application redevelopment. Cpu optimizes AI inference workloads and parses its output to the Cpu neural engine by means of the toolkit’s validated models and common software frameworks such as TensorFlow, Caffe, and MXNet.