“Optimization Techniques with Intel’s OpenVINO to Enhance Performance on Your Existing Hardware,” a Presentation from Intel

Nico Galoppo, Principal Engineer (substituting for Ansley Dunn, Product Marketing Manager), and Ryan Loney, Technical Product Manager, both of Intel, present the “Optimization Techniques with Intel’s OpenVINO to Enhance Performance on Your Existing Hardware” tutorial at the May 2022 Embedded Vision Summit.

Whether you’re using TensorFlow, PyTorch or another framework, Galoppo and Loney show you optimization techniques to enhance performance on your existing hardware. With the OpenVINO Toolkit, built on the foundation of OneAPI, developers can utilize their own AI model or leverage one of the hundreds of pre-trained models available across vision and audio use cases.

In this presentation, you’ll learn how the Neural Network Compression Framework provides optimal model training templates for performance boosts while preserving accuracy, and how the Model Optimizer reduces complexity and makes model conversion faster. Other areas explored by Galoppo and Loney include auto device discovery to enable automatic load balancing and how to optimize for latency or throughput based on your workload.

See here for a PDF of the slides.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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