Binoy Unnikrishnan is a strategic global sales executive with more than two decades of experience driving growth across semiconductors, cloud, and client market segments. He joins Lenovo as the Vice President of Worldwide Cloud Sales at Lenovo, responsible for leading the company’s global cloud sales, go-to-market strategy, customer engagement with our key hyperscaler and next-wave cloud customers.
He joins Lenovo from Samsung where he was Vice President of Sales, leading multi-billion-dollar memory sales to hyperscaler and data center customers, managing DRAM and NAND, and establishing the HBM portfolio.
Previously, Binoy served as Co-Chief Revenue Officer and Vice President of Worldwide Sales at Ampere Computing, where he built a global team, drove double-digit growth, and secured marquee wins with several cloud service providers worldwide. During his 20+ year career at Intel, Binoy was instrumental in scaling strategic accounts including Amazon and Dell, where he grew Intel’s AWS revenues fivefold, established and expanded Intel’s co-sell pipeline to over $1B annually.
His leadership combines deep technical expertise with proven go-to-market strategies, resulting in sustained competitive advantage and building long-term customer partnerships.
Binoy holds an MBA and an M.S. in Electrical and Computer Engineering from the University of Washington, and a B.S. in Electronics Engineering from the University of Bombay.
Recent Videos
Lenovo’s VP of Cloud Solutions on How Cloud and On-Prem Are Evolving Together in the AI Era
Conor Malone and Binoy Unnikrishnan of Lenovo join Patrick Moorhead and Daniel Newman to discuss how cloud service providers and enterprise infrastructure are converging to support AI anywhere.
Six Five Summit Sessions
Lenovo's Vision for AI Cloud Gigafactories: The New Operating Model for AI Infrastructure
In this conversation, the shift from building AI infrastructure to operating AI Cloud Gigafactories at industrial scale takes center stage. As AI demand accelerates, organizations are discovering that competitive advantage depends less on acquiring GPUs and more on executing across planning, deployment, financing, and long-term operations. We'll explore what it takes to activate AI capacity faster, operate it more efficiently, and build infrastructure designed for continuous growth.
Decode Summit Sessions
