Manzur Rahman
Manzur Rahman, leads AI Infrastructure Efficiency at Solidigm, where he focuses on AI storage architecture, power and cooling efficiency, TCO, high-capacity enterprise SSDs, and AI infrastructure economics. His experience spans semiconductor engineering, enterprise storage, product strategy, and customer-facing technical analysis, with prior roles at Intel, MediaTek, Oracle, and Marvell. He holds a PhD in Electrical Engineering from The University of Texas at Austin, and an MBA from Duke University’s Fuqua School of Business. In his role, he works closely with cross-functional stakeholders to develop strategic marketing programs, support customer and industry engagements, and communicate the business impact of emerging technologies.
Sessions
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Accelerating AI Storage: Building High-Capacity, Low-Latency Data Infrastructure for the Next AI Factory, presented by Solidigm16-Sep-2026Data Movement Track
