Start Time: 11:00 am
End Time: 11:30 am
With ever-increasing amounts of video and other sensor data, and growing requirements for privacy and low latency, inferencing at the edge is increasingly attractive. But there are many ways to allocate and coordinate computing resources for edge inferencing. For example, to achieve scale and fault tolerance, design principles from cloud computing can be applied to create compute clusters at the edge that are managed by the cloud, an approach called “federated computing.” In this talk, we explore a range of edge computing system architectures, with a focus on federated computing. We illustrate how these system architectures utilize Intel CPUs and accelerators to address real-world use cases in retail and industrial applications.