Like the way Linux emerged as the dominant operating system for servers, and with increasing popularity and adoption, can RISC-V emerge as the most dominant CPU architecture in the future?
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The world is getting RISCier
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The Analyst Team
Manoj Sukumaran
Follow AnalystPrincipal Analyst, Data center IT
Manoj is Omdia’s data center computing and networking expert. He covers trailblazing technologies such as processors that enable the programmability of compute and networking hardware, edge computing, composable infrastructure, and the adoption of open compute hardware. He has over 15 years of experience in engineering and financial services, consulting, and research.
Before joining Omdia, Manoj was the founder and director of QWave India, a hardware engineering services company that specializes in designing data center hardware for clients such as Facebook and LinkedIn. His team delivered Facebook’s first three open compute switches, pioneering the bare metal switching technology that has revolutionized the data center. He also worked on the architecture and design of Open19’s first switch and server. Manoj has also held senior positions in financial services, consulting, and media companies. He holds two bachelor’s degrees—one in physics and one in information technology—and an MBA from India’s Mahatma Gandhi University.
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Vladimir Galabov
Follow AnalystSenior Research Director, Enterprise Infrastructure
Vlad is responsible for the enterprise infrastructure teams at Omdia, including the cloud and data center research practice and the cybersecurity research practice. He guides the teams’ research strategy and produces research with a focus on disruptive trends, such as infrastructure upgrades necessary to enable broad adoption of AI, as well as the impact of AI on the enterprise infrastructure stack.
Vlad joined Omdia, formerly IHS Markit Technology, in 2016. He assumed the responsibility for the cloud and data center research practice in 2021, developing many of its unique, industry-leading technical analyses, including its flagship “single source of truth” data center capex and capacity model. He held senior positions at Intel and Ciena, where his data-led insights served as a central input into the companies’ strategies. Key market models he developed include an in-depth analysis of telecommunications network operations costs, a PC inventory tracker, and an actionable IoT market forecast. Vlad’s work has even facilitated decision-making in the British Parliament. He holds a Bachelor of Science degree in economics and management from Aston University, the UK.
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