EPCC Selects Cerebras Systems AI Supercomputer to Rapidly Accelerate AI Research

First European CS-1 Deployment Advances Natural Language Processing and Data Science Research Across Public, Private and Academic Organisations

LOS ALTOS, Calif. & EDINBURGH, UK–(BUSINESS WIRE)–#AICerebras Systems, the pioneer in high performance artificial intelligence (AI) compute, and EPCC, the supercomputing centre at the University of Edinburgh, today announced the selection of the world’s fastest AI computer, the Cerebras CS-1, for EPCC’s new international data facility for the Edinburgh & SE Scotland City Region. Featuring the HPE Superdome Flex Server from Hewlett Packard Enterprise, this leading-edge AI deployment enables the next wave of natural language processing (NLP) and data science research for public, private and academic sectors across the City Region and the UK.

“We are proud to announce this audacious infrastructure investment and partnership with the world leaders in AI computing,” said Professor Mark Parsons, EPCC Director. “This installation will enable massive breakthroughs in our vision for data science and greatly accelerate our research across genomics and public health, including time-sensitive and pressing issues such as leveraging AI across large models to advance COVID-19 therapeutic research.”

EPCC will employ a unique combination of the Cerebras CS-1 system, powered by the high-performance Wafer Scale Engine (WSE) processor, and an extremely large-memory HPE Superdome Flex Server system for unprecedented AI scalability and massive data handling capability. This advanced AI supercomputing system will greatly reduce training time, the most time-intensive part of AI, enabling many more ideas to be tested, and will be available in EPCC’s new “Edinburgh International Data Facility (EIDF)” for academic researchers and data scientists in the public and private sectors.

The EIDF will support the University of Edinburgh’s ambition to deliver more Data-Driven Innovation industry partnerships and transform the region into the ‘Data capital of Europe,’ one of its key ambitions as a partner in the City Region Deal.

EPCC’s mission is to accelerate the effective exploitation of novel computing throughout industry, academia and commerce. The CS-1 deployment amplifies and extends the reach of that mission for AI applications with local- to global-scale impact. Specifically, this partnership will accelerate AI-powered data science initiatives in the Edinburgh and Southeast Scotland City Region, enabling national-scale genomics research for public health initiatives. It also advances AI research for natural language processing of global academic and industry interest, using deep learning models like BERT in the School of Informatics’ Institute for Language, Cognition and Computation.

“We are excited to bring our industry-leading CS-1 AI supercomputer, coupled with HPE’s advanced memory server, to EPCC and the European market to help solve some of today’s most urgent problems,” said Andrew Feldman, CEO and co-founder of Cerebras. “Our vision with the CS-1 was to reduce the cost of curiosity, and we look forward to the myriad experiments and world-changing solutions that will emerge from EPCC’s regional data center.”

The CS-1 is built around the world’s largest processor, the WSE, which 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. In AI compute, large chips process information more quickly, producing answers in less time. Depending on workload, from AI to HPC, the CS-1 delivers hundreds or thousands of times more performance than legacy alternatives, and it does so at a fraction of the power draw and space. The CS-1 has won numerous awards including Fast Company’s Best World Changing Ideas, IEEE Spectrum’s Emerging Technology Awards, Forbes AI 50 2020, HPCWire’s Readers’ and Editors’ Choice Awards and CBInsights AI 100 2020.

EPCC will use the HPE Superdome Flex Server, a powerful and easy-to-use high performance front-end storage and pre-processing solution for the CS-1 AI supercomputer. This will enable users to employ large datasets and application-specific pre- and post-processing of data for AI model training and inference on the CS-1, allowing the CS-1s WSE to operate at full bandwidth. HPE Superdome Flex Server will be robustly provisioned with 18 terabytes of memory, 102 terabytes of high-performance flash storage, 24 powerful Intel Xeon CPUs, and 12 network interface cards to deliver 1.2 terabits per second of data bandwidth to the Cerebras CS-1.

“HPE has a long-standing collaboration with EPCC to develop solutions to some of the most challenging computational problems, and we are excited to be working at this time to provide a highly productive AI platform,” said Mike Woodacre, HPE CTO of HPC & MCS, HPE. “By tightly coupling a Cerebras Wafer Scale Engine with a HPE Superdome Flex Server In-Memory host, we are aiming to enable researchers to tackle complex AI workloads at unprecedented rates.”

For more information, please visit the EPCC website or EPCC International Data Facility.

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.

About EPCC

EPCC is the supercomputing centre at the University of Edinburgh. We provide national supercomputing and data science expertise, resources and facilities to business and academia across the UK and internationally. We host ARCHER2, the UK’s National HPC service amongst a number of national supercomputing and research data resources. We are at the heart of the Edinburgh & SE Scotland City Region Deal through our design and delivery of the Edinburgh International Data Facility – which will host the Cerebras CS-1. We also offer an MSc in HPC and an MSc in HPC with Data Science. See examples of how we spend our time: www.epcc.ed.ac.uk/blog

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