Peter is Senior Vice President of the Communications Infrastructure and Security Business Unit at IQE with decades of business development and sales experience in the semiconductor industry underpinned by a background in product design and engineering. Peter joined IQE after over a decade in executive roles at GlobalFoundries Inc. (“GF”), where he was most recently responsible for foundry sales partnerships and business development. He received his BSEE degree from the Stevens Institute of Technology in 1986 and an MSEE with a concentration in RF systems design from the University of Massachusetts in 1991. He is an alumnus of the IBM Executive Management program and the Executive Program for Growing Companies at Stanford University. Peter has co-authored several papers and published several trade journal articles and blogs and speaks regularly on the trends and developments in the RF communications and wireless technology space. He is a member of the IEEE.
It is evident that the performance demands of AI-enabled devices are in stark contrast to our ability to drive greater power and performance capacity and still achieve goals to reduce carbon emissions. Datacenters, mobile devices, EVs and the infrastructure that supports it are all competing for limited resources of power delivery, whether it be battery or grid based while still driving an expectation of lower cost to the consumer. GaN has emerged as a technology that can address power, performance and cost. We’ll look at the areas driving increased consumption and how GaN can help address the economics that will make AI possible.