Where Cloud Meets Edge: Custom Silicon for Secure, Intelligent, and Connected Systems
ABSTRACT
Rapid advances in IoT for device connectivity, coupled with machine learning and advanced analytics, have led to an explosion in demand for secure and scalable computing and storage products and services, in the cloud and at the edge. AI/ML is at the heart of many the newest, most advanced analytics and IoT applications, ranging from robotics and autonomous vehicles, to cloud-connected products such as Alexa, to smart factories and consumer-facing services in the financial and healthcare sectors. These products and services benefit from custom or application-specific semiconductor technologies.
This talk presents examples of IoT, AI, and high-performance computing use-cases enabled by cloud, as well examples of how Amazon and its customers increasingly rely on custom silicon solutions to drive year-over-year increases in performance and scalability. The talk concludes with an example of using IoT, AI, and digital twin for smart manufacturing and smart operations in a safety-critical industry.
BIOGRAPHY
David Pellerin serves as Director of Solutions for the Electronics and Semiconductor Industry at Amazon Web Services. Prior to joining AWS, Mr. Pellerin had a long career in electronic design automation, FPGA-accelerated computing, and embedded systems. He has published five Prentice Hall technical books on topics related to digital design and programmable logic.