Cisco CEO Chuck Robbins Affirms Trust in Nvidia Chips Following Jensen Huang's Exit
Cisco's chief executive says enterprise hardware integration will continue based on customer demand rather than executive turnover.
Cisco Systems will not place its relationship with Nvidia under review or alter its hardware integration roadmap following the departure of longtime chief executive Jensen Huang, Cisco CEO Chuck Robbins confirmed in an interview with Yahoo Finance.
Speaking with Yahoo Finance Executive Editor Brian Sozzi, Robbins answered "absolutely" when asked if Cisco still trusts Nvidia's semiconductor hardware in the wake of Huang stepping down. Robbins argued that day-to-day product development and execution at the dominant artificial intelligence chipmaker rest with its broader engineering organization rather than any single leader, citing Nvidia's roughly 42,000 employees.
The executive comments come amid heightened market volatility across the semiconductor and enterprise infrastructure sectors following the leadership change. On Friday, shares of Nvidia dropped 2.64%, Cisco fell 6.37%, Advanced Micro Devices declined 9.45%, and Super Micro Computer slipped 1.41%.
Asked whether Cisco might leverage the transition to diversify its compute offerings toward competitors like AMD, Robbins stated that Cisco's architecture strategy remains strictly customer-driven. Cisco recently structured an arrangement with Super Micro Computer to package Nvidia graphics processing units into unified enterprise infrastructure solutions, and Robbins noted he does not expect corporate buyers to fundamentally change purchasing patterns due to the leadership transition.
While Robbins acknowledged Huang's historical prominence as the industry's foremost champion of artificial intelligence infrastructure, he emphasized that research and development across accelerated computing spans far beyond one individual. Robbins pointed to engineering talent distributed throughout hyperscale cloud providers, rival silicon designers, and Cisco's own internal teams developing specialized AI cluster networking hardware.
Sources
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