Richard Chuang, Principal AI Engineer at Intel, presents the “Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform” tutorial at the May 2022 Embedded Vision Summit.
As a system integrator, solution provider or AI developer, you need to run your AI applications efficiently at the edge with sufficient throughput. Does your edge device run either generic computing or deep learning inferencing, but not both? Intel Video AI Box with Core CPU and integrated Xe LP graphics offers a compact solution to run video AI analytics at the edge with the support to orchestrate AI applications and workloads in cloud-to-edge deployments.
In this presentation, you’ll learn about Intel’s new platform, comprising an Intel CPU with integrated graphics and the Edge AI Box for Video Analytics software package, and how it enables developing cutting-edge video solutions faster. Chuang also explores EFLOW enablement on the platform, which allows Windows-based business applications to run rich Linux AI workload containers with Azure cloud connections for scalable deployments.
See here for a PDF of the slides.
