“Last year we generated more data in three months than in our entire 300-year history. “At GSK we are applying machine learning to make better predictions in drug discovery, so we are amassing data – faster than ever before – to help better understand disease and increase success rates,” said Kim Branson, SVP, AI/ML, GlaxoSmithKline. Over the past year, customers around the world have deployed the Cerebras WSE and CS-1, including Argonne National Laboratory, Lawrence Livermore National Laboratory, Pittsburgh Supercomputing Center (PSC) for its groundbreaking Neocortex AI supercomputer, EPCC, the supercomputing centre at the University of Edinburgh, pharmaceutical leader GlaxoSmithKline, Tokyo Electron Devices, and more. At only 26 inches tall, the CS-2 fits in one-third of a standard data center rack. A single CS-2 replaces clusters of hundreds or thousands of graphics processing units (GPUs) that consume dozens of racks, use hundreds of kilowatts of power, and take months to configure and program. Depending on workload, from AI to HPC, CS-2 delivers hundreds or thousands of times more performance than legacy alternatives, and it does so at a fraction of the power draw and space. With every component optimized for AI work, the CS-2 delivers more compute performance at less space and less power than any other system. “TSMC’s leading-edge technology, manufacturing excellence, and rigorous attention to quality enable us to meet Cerebras’ stringent defect density requirements and support them as they continue to unleash silicon innovation.” We are pleased with the result of our continuous collaboration with Cerebras Systems in manufacturing the Cerebras WSE-2 on our 7nm process, another extraordinary accomplishment and milestone for wafer scale development after the introduction of the Cerebras 16nm WSE less than two years ago,” said Sajiv Dalal, Senior Vice President of Business Management, TSMC North America. “TSMC has long partnered with the industry innovators to manufacture advanced processors with leading performance. The WSE-2 solves this major challenge as the industry’s fastest and largest AI processor ever made.” “In AI compute, big chips are king, as they process information more quickly, producing answers in less time – and time is the enemy of progress in AI. “Less than two years ago, Cerebras revolutionized the industry with the introduction of WSE, the world’s first wafer scale processor,” said Dhiraj Mallik, Vice President Hardware Engineering, Cerebras Systems. The result is that on every performance metric, the WSE-2 is orders of magnitude larger and more performant than any competing GPU on the market.
Manufactured by TSMC on its industry-leading 7nm-node, the WSE-2 more than doubles all performance characteristics on the chip – the transistor count, core count, memory, memory bandwidth and fabric bandwidth – over the first generation WSE. The CS-2 more than doubles the performance of Cerebras’ first-generation CS-1, thanks to the super-charged WSE-2. The WSE-2 will power the Cerebras CS-2, the industry’s fastest AI computer, designed and optimized for 7nm and beyond.
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