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In the U. S. In the U. S. and Europe, supercomputing focuses on Cerebras’ segment-scale responses to high-performance AI.
HAMBURG, Germany, May 31, 2022–(BUSINESS WIRE)–At ISC 2022, Cerebras Systems, the pioneer of high-performance synthetic intelligence (AI) computing, shared data about its many supercomputing partners, adding the European Center for Parallel Computing (EPCC), Leibniz Supercomputing Center (LRZ), Lawrence Livermore National Laboratory, Argonne National Laboratory (ANL), the National Supercomputing Applications Center (NCSA) and the Pittsburgh Supercomputing Center (PSC).
“At Cerebras Systems, our purpose is to revolutionize computing,” said Andrew Feldman, CEO and co-founder of Cerebras Systems. “It’s exciting to see some of the world’s most reputable supercomputing centers implement our CS-2 formula to power their AI workloads and achieve clinical breakthroughs in weather research, precision medicine, computational fluid dynamics and more. “
In Europe, EPCC in the UK and LRZ in Germany announced the deployment of CS-2 to boost clinical trials in their regions. EPCC has been a visitor since 2021 and recently agreed to upgrade their CS-1 to a CS-2 following the good fortune of the first system. CS-2 will particularly boost Herbal Language Processing (NLP) projects and will also increase its use for EPCC public fitness initiatives, making Edinburgh a hub for AI innovation in the region.
“EPCC has wonderfully enjoyed its CS-1 and is very happy to upgrade to a CS-2. The commitment we got from Cerebras has been fantastic and we look forward to having even more luck with our new system,” said Professor Mark Parsons, Director of the EPCC.
LRZ is poised to drive innovation and clinical discovery in Germany with the CS-2 in its next AI supercomputer. Launched this summer, the new supercomputer will enable German researchers to conduct clinical studies and innovation through AI. Initial paintings will focus on medical symbol processing involving cutting-edge algorithms to analyze medical symbols, or computer-aided functions to drive diagnosis and prognosis, and computational fluid dynamics (CFD) to advance understanding in spaces such as aerospace engineering and manufacturing.
“Currently, we are seeing the need for AI computing to double every 3 or 4 months with our users. With the robust integration of embedded processors, memory, and networking on a single chip, Cerebras enables maximum functionality and speed. This promises much more power in knowledge processing and faster advancement of clinical discoveries,” said Professor Dr. Dieter Kranzlmüller, Director of the LRZ.
Continuing this trend, NCSA’s new HOLL-I supercomputer for large-scale device learning works through a CS-2 system. HOLL-I is unique to NCSA’s supercomputing portfolio because it is designed to take care of device learning responsibilities at intense speeds that will reduce compute time and overhead costs, while achieving exceptional functionality results. Initial AI programs are aimed at NCSA’s business partner organization; however, HOLL-I will be widely available for use in large-scale AI projects, for a fee.
“We are very pleased that the Cerebras CS-2 formula is operational on our HOLL-I supercomputer,” said Vlad Kindratenko, director of NCSA’s Center for Innovation in Artificial Intelligence.
Argonne National Laboratory’s leadership computing facility recently expanded from a single CS-1 formula to two CS-2 formulas. AI for science. Previous paintings in Cerebras CS-1 and CS-2 have been nominated for the Gordon Bell Special Award for HPC-based COVID-19 studies in SC21.
PSC also doubled its AI capacity to 1. 7 million AI cores, with two CS-2 systems, powering the center’s Neocortex supercomputer for high-performance AI. while the parallel of style evolves to unprecedented levels.
“With two Cerebras CS-2 systems, we anticipate the advances that will enable Neocortex’s now even larger functions,” said Paola Buitrago, principal investigator and director of Neocortex Artificial Intelligence and Big Data at PSC. “We will continue to work with netpaintings studios for them to take credit from this generation that is much more powerful. “
The Cerebras CS-2 is the fastest AI formula out there and is powered by the largest processor ever built: the Cerebras Wafer-Scale Engine 2 (WSE-2), which is 56 times larger than the nearest competitor. As a result, the CS-2 delivers more AI-optimized compute cores, faster memory, and more design bandwidth than any other deep learning processor in existence. It has been designed in particular to power deep learning workloads by reducing reaction time by an order of magnitude.
With consumers and partners in North America, Asia, Europe and the Middle East, Cerebras provides state-of-the-art AI responses to a developing list of consumers in the enterprise, government and high-performance computing segments, adding GlaxoSmithKline, TotalEnergies, Leibniz Supercomputing Center, National Center for Supercomputing Applications, nference, Argonne National Laboratory, Lawrence Livermore National Laboratory, Pittsburgh Supercomputing Center, Edinburgh Parallel Computing Center (EPCC), Tokyo National Laboratory for Energy Technology and Electronic Devices.
For more information on the Cerebras CS-2 formula for clinical computing, visit: https://cerebras. net/industry-clinical-computing/
About Cerebras Systems
Cerebras Systems is a pioneering team of IT architects, computer scientists, deep learning researchers, and engineers of all kinds. We have come together to create a new elegance of computer systems, designed with the sole aim of accelerating AI and turning the long-term AI Paints. Our flagship product, the CS-2 system, is powered by the world’s largest processor: the 850,000-core Cerebras WSE-2, enabling consumers to enhance their deep learning paints by orders of magnitude in graphics processing units.
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