Rambus Elevates AI and Data-Center Focus with New Board Member

Rambus announced that Victor Peng has joined the company?s Board of Directors, effective Thursday, February 12, 2026. The former president of AMD and former CEO of Xilinx will bring more than four decades of semiconductor experience to Rambus, with a particular emphasis on artificial intelligence and adaptive computing for data-center environments. The appointment highlights the strategic importance of top-tier leadership as AI continues to reshape the hardware infrastructure landscape.

Peng's extensive background spans more than 40 years in the chip industry, with a defining 14-year tenure at Xilinx where he served as president and CEO. Following the AMD-Xilinx merger, he led the Adaptive and Embedded Computing Group and oversaw AI software development. Rambus values this pedigree, aiming to reinforce its position in high-performance solutions for computing centers through chip and silicon IP capabilities.

Market observers question whether Peng can provide a decisive impulse for Rambus?s AI strategy. The company asserts that his operational and strategic know-how will help accelerate the opportunities created by the AI boom in hardware infrastructures. Analysts view the appointment as a signal of Rambus? intent to deepen its expertise in interfaces and security solutions alongside AI-related computing needs.

In parallel, developments tied to Peng?s former employer?s ecosystem illustrate the evolving technology backdrop. AMD?s introduction of the Kintex UltraScale+ Gen 2 FPGA family on February 4, 2026 underscores a push into sectors such as medical technology and professional broadcasting. The new FPGAs feature modernized subsystems for memory, input/output, and security to meet complex system requirements.

First samples of the Kintex UltraScale+ Gen 2 are slated for the fourth quarter of 2026, with mass production planned for the first half of 2027. Rambus now intends to leverage Peng?s expertise to help shape the next generation of data-center infrastructure, aligning its offerings with the accelerating demands of AI-driven workloads.