When Gordon Moore made the observation that the number of transistors in an integrated circuit doubles every two years, known as Moore’s law, he also predicted technological limitations would eventually lead to the end of this era, with successive generations either seeing less than 2x growth in transistor count or taking longer than two years. An argument that we have already reached these limitations is currently supported by the lag between Intel’s 14 nm and 10 nm PC CPU introduction. Additionally, silicon manufacturers have questioned the investment required to maintain Moore’s law, with Samsung reporting Moore’s law affordability challenges in 2016 and TSMC’s quarterly earnings showing wafer revenue from advanced process technology dropping between 2008 and 2016. Clients, please log in to view the full content.
The Analyst Team
Cliff heads the cloud and data center research practice at Omdia. He is responsible for research quality and his research focuses on cloud services, IT, and physical data center infrastructure. Cliff has over 25 years’ industry experience encompassing scientific research, market analysis, corporate and product strategy, product management, and marketing.
Cliff joined Omdia through IHS Markit Technology and Infonetics acquisitions. Previously, he held senior positions in the information and communications technology industries, including strategic marketing for Alcatel-Lucent's enterprise network business and tenures at Bell Labs and Nortel. At McGill and Concordia universities in Canada, he worked as a research scientist and faculty lecturer specializing in AI, distributed computing, and computer architecture. He earned his PhD at McGill University, his Master of Science degree in computer science at Concordia University, and was awarded national scholarships to support his graduate work. He holds over 10 patents."
As part of Omdia’s cloud and data center research practice, Vladimir covers disruptive trends in data center compute, such as the shift to cloud computing, as well as innovations in the Ethernet adapter and server markets, the adoption of OCP equipment, and evolving requirements for efficiency, automation, and diversity in compute hardware, software, and silicon.
Previously at Intel, he covered client computing and the data center and IoT markets. There, he served as a long-term coach to the business management group in EMEA, providing expertise in supply chain models, business planning, and revenue forecasting. Vlad contributed to increasing the breadth and depth of Intel's market knowledge in EMEA, introducing an in-depth PC inventory tracking model, improving Intel's market and revenue forecast accuracy, and piloting an actionable IoT market model. As a frequent speaker at conferences, Vlad is quoted in publications including SDxCentral, Light Reading, FierceTelecom, and eWeek. Vlad holds a Bachelor of Science in economics and management from Aston University.
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