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“Three Lessons Learned in Building a Successful AI Inferencing Toolkit—from the OpenVINO Architect,” a Presentation from Intel

Yury Gorbachev, Senior Principal Engineer at Intel, presents the “Three Lessons Learned in Building a Successful AI Inferencing Toolkit—from the OpenVINO Architect” tutorial at the May 2021 Embedded Vision Summit.

With OpenVINO, Intel started with a simple vision in mind: “How might we get the best deep learning performance with real-world solutions deployed into production?” In this session, Gorbachev, the lead architect of the Intel Distribution of OpenVINO toolkit, discusses the three key lessons learned in building a successful AI inferencing platform. Gorbachev explores critical topics including low precision optimizations, open-source and the essential components for designing an AI inferencing toolkit architecture.

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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