Rama Karamsetty, Global Marketing Manager at Intel, presents the “Edge Inferencing—Scalability with Intel Vision Accelerator Design Cards” tutorial at the September 2020 Embedded Vision Summit.

Are you trying to deploy AI solutions at the edge, but running into scalability challenges that are making it difficult to meet your performance, power and price targets without creating multiple complex designs? Demand for AI at the edge is growing, but delivering on the potential of edge AI isn’t simple. There’s no one-size-fits-all approach. Even within a single application, there are often diverse use cases and environments, resulting in widely varying cost, performance, power and form factor requirements.

In this talk, Karamsetty examines real customer use cases illustrating the challenges of designing scalable and flexible edge AI solutions. He also showcases the broad range of new Intel-based vision accelerator cards offered by Intel’s ecosystem partners. And he illustrates the value these Intel cards bring to meet the cost, performance, power and scalability needs of a wide range of applications.

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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