LOS ALTOS, Calif.--(BUSINESS WIRE)--Cerebras Systems, the pioneer in accelerating artificial intelligence (AI) compute, today announced its continued global expansion with the opening of new offices across Japan and Canada. Cerebras Systems G.K., a wholly owned subsidiary located in Tokyo, will offer local sales and support for customers and regional systems integrators, including partners like Tokyo Electron Device Ltd. (TED). In Canada, Cerebras Systems launched an engineering office focused on accelerating R&D, located in downtown Toronto. With more than fifteen engineers currently employed, Cerebras plans to triple its Toronto engineering team in the coming year.
“Japan and Canada are enormously important markets for Cerebras, and we look forward to growing our presence in both regions,” said Andrew Feldman, CEO and Co-Founder of Cerebras. “Our mission is to enable customers to do the hardest AI work more quickly and more easily. This is an exciting time in Cerebras’ history as we search the globe for extraordinary customers and world-class engineering talent.”
As part of the new office openings, Cerebras appointed Hiromasa Ebi as Country Manager of Cerebras Systems G.K. Based in Tokyo, Ebi is a technology veteran, bringing more than 30 years of experience in IT, with a focus on data management infrastructure. Ebi comes to Cerebras with a respected track record for establishing Japan entities for global companies from the ground up. He previously served as CEO of Cohesity Japan KK, a joint venture with Softbank, where he launched the company’s business operations in Japan, as well as holding various leadership positions at other Japanese entities, including Scality Japan K.K., Fusion-io K.K., Isilon Systems K.K and NetApp K.K.
Nish Sinnadurai will serve as Toronto Site Lead and Director of Software Engineering. Nish comes to Cerebras with deep technical engineering expertise, having previously served as Director of Software Engineering at the Intel Toronto Technology Centre, where he led a multi-disciplinary organization developing large-scale, high-performance software for state-of-the-art systems. Prior to that, he held various roles at Altera, which was eventually acquired by Intel, and Research in Motion Ltd, which is now Blackberry.
“I am pleased that Cerebras has chosen to open a Toronto office to take advantage of the local technology and engineering talent and regional growth opportunities,” said John Tory, Mayor of Toronto. “We welcome and celebrate Cerebras’ expansion as the company fosters AI growth and innovation in the Toronto Region.”
The international expansion in Japan and Canada continues the momentum of recent announced wins and CS-1 deployments at some of the largest computer facilities in the U.S., including Argonne National Laboratory, Lawrence Livermore National Laboratory and Pittsburgh Supercomputing Center (PSC) for its groundbreaking Neocortex AI supercomputer, and most recently at pharmaceutical leader GlaxoSmithKline.
This rapid adoption by the most sophisticated customers is a tribute to the revolutionary capabilities of the Cerebras CS-1, the industry’s fastest AI computer. Its Wafer Scale Engine (WSE), the processor at the heart of the CS-1, is 56 times larger, has 54 times more cores, 450 times more on-chip memory, 5,788 times more memory bandwidth and 20,833 times more fabric bandwidth than the leading graphics processing unit (GPU) competitor. Depending on workload, the CS-1 delivers hundreds or thousands of times more compute than legacy alternatives, and it does so at a fraction of the power draw and space. The Cerebras CS-1 was recently selected as one of Fast Company’s Best World Changing Ideas and a winner of IEEE Spectrum’s Emerging Technology Awards.
For more information on Cerebras and the pioneering CS-1, please visit www.cerebras.net.
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.
