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Cerebras Systems Appoints Rupal Shah Hollenbeck as Chief Marketing Officer

Creator of the world’s fastest AI supercomputer among Artificial Intelligence Leader Hires Former Oracle and Intel Executive to Oversee Global Marketingtop-ranked companies in the Artificial Intelligence category

LOS ALTOS – April 13, 2021 – Cerebras Systems,the pioneer in accelerating artificial intelligence (AI) compute, today announced the appointment of Rupal Shah Hollenbeck as Vice President and Chief Marketing Officer (CMO). With more than 25 years of high-tech experience supporting S&P 500 companies, including senior positions at Intel and Oracle, Hollenbeck will lead Cerebras’ global marketing organization, including the company’s growth and expansion into new markets.

“We are pleased to welcome Rupal to our leadership team, with her wealth of experience in building and leading high-performance and cross-functional teams across marketing, business development and operations,” said Andrew Feldman, CEO and Co-Founder of Cerebras. “Rupal’s decades of hardware, software and services experience will help elevate Cerebras’ brand and positioning as an industry innovator to the next level.”

Prior to Cerebras, Hollenbeck served as senior vice president and CMO at Oracle, where she led the marketing transformation strategy for the company, while overseeing global brand and demand generation for all product areas. Previously, she held various senior leadership positions at Intel for more than two decades, most recently serving as Corporate Vice President and General Manager for Sales & Marketing in Intel’s Data Center division. Hollenbeck serves as an Independent Director of Check Point Software Technologies (NASDAQ: CHKP), a leading global provider of enterprise cybersecurity solutions. She is a Founding Limited Partner in Neythri Futures Fund, a venture fund dedicated to bringing diversity to the investment ecosystem.

“I am thrilled to join Cerebras’ industry-leading team as they tackle some of society’s most urgent and challenging problems with their groundbreaking CS-1 AI supercomputer,” said Hollenbeck. “I’ve been impressed with Cerebras’ customer traction over the past year, and I look forward to further accelerating this momentum with new global partnerships and customer deployments.”

Hollenbeck joins Cerebras at a time of rapid expansion. In the past year, Cerebras opened new offices in Tokyo, Japan and Toronto, Canada, and announced a series of wins for its flagship product, the CS-1, including deployments at Argonne National LaboratoryLawrence Livermore National LaboratoryPittsburgh Supercomputing Center (PSC) for its groundbreaking Neocortex AI supercomputer, EPCC, the supercomputing centre at the University of Edinburgh, and pharmaceutical leader GlaxoSmithKline.

In addition, last month, Cerebras was named one of the Fast Company’s World’s Most Innovative Companies. The CS-1 has won numerous awards includingIEEESpectrum’s Emerging Technology Awards, Forbes AI 50 2020, HPCWire’s Readers’ and Editors’ Choice Awards, Fast Company’s Best World Changing Ideas and CBInsights AI 100 2020.

For more information on Cerebras Systems and the company’s job openings, please visit https://cerebras.net/careers/.

About Cerebras Systems

Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art. The Cerebras CS-1 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE). The WSE is the largest chip ever built. It contains 1.2 trillion transistors, covers more than 46,225 square millimeters of silicon and contains 400,000 AI optimized compute cores. The largest graphics processor on the market has 54 billion transistors and covers 826 square millimeters and has only 6,912 cores. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras WSE.

Media Contact: Kim Ziesemer
Email: pr@zmcommunications.com