Computer History Museum pays homage to Cerebras systems with new display for wafer-scale engine

SUNNYVALE, CA & MOUNTAIN VIEW, CA–(BUSINESS WIRE)–Brain Systems, the pioneer of artificial intelligence (AI) computational acceleration, and the Computer History Museum (CHM), the leading institution for decoding technology – its computing past, digital present and future impact on humanity – unveiled today a new display featuring Cerebras Wafer Scale Engine (WSE). As the world’s largest computer chip, roughly the size of a dinner plate, WSE-2 packs 2.6 trillion transistors, 850,000 AI-optimized cores, and is optimized in every way for the work of the AI.

“At CHM, we are dedicated to decoding the history and impact of computing and technological innovation on the human experience,” said Dan’l Lewin, President and CEO of the Computer History Museum. . “Cerebras Systems’ extraordinary achievement of inventing the world’s first and only wafer-scale processor marks a milestone in the history of computing, and we are only just beginning to see the impact incredible that Cerebra Systems and its customers have on AI for drug discovery, climate change, cancer research and much more.

“It is the honor of a lifetime to be accepted into the world renowned collection of the Computer History Museum,” said Andrew Feldman, CEO and co-founder of Cerebras Systems. “When we launched Cerebras, we set out to transform the IT landscape. For us, that meant fearless engineering in the relentless pursuit of the extraordinary. During this process, our team was able to overcoming design, manufacturing and packaging challenges – all of which had been thought impossible throughout the 70-year history of computers – and creating the world’s first wafer-scale processor. proud of our team and grateful to CHM for adding us to their collection and preserving our collective history.

In AI, chip size is extremely important. Larger chips process information faster, producing responses in less time. As the largest chip ever made – 56 times larger than the competition – the WSE-2 powers the Cerebra CS-2, the fastest AI computer in the industry. The WSE-2 is manufactured by TSMC on its 7nm node and is the second generation Wafer Scale Engine. The WSE-2 shipped less than two years after the WSE-1, and more than doubled all performance specifications – the number of transistors, the number of cores, the memory, the memory bandwidth and the bandwidth of the structure. Not only did Cerebras build the largest chip in the history of the computer industry, they showed that it could be quickly and easily reduced to new manufacturing geometries.

On every performance metric, the WSE-2 is orders of magnitude faster than older graphics processing units. The CS-2 provides the deep learning compute resources equivalent to hundreds of GPUs, while offering the ease of programming, management, and deployment of a single device.

“There are far more transistors in this single Cerebras chip than in the 100,000 computer objects in the Museum’s permanent collection combined,” said Dag Spicer, senior curator at the Computer History Museum.

With every component optimized for AI work, the CS-2 delivers more compute performance with less space and less power than any other system. It does this while radically reducing programming complexity, computation time, and solving time. Depending on the workload, from AI to HPC, CS-2 delivers hundreds or thousands of times more performance than legacy alternatives. A single CS-2 replaces clusters of hundreds or thousands of GPUs that consume dozens of racks, use hundreds of kilowatts of power, and take months to configure and program. At just 26 inches tall, the CS-2 fits in a third of a standard data center rack.

With clients in North America, Asia, Europe and the Middle East, Cerebras Systems provides cutting-edge AI solutions to a growing list of customers in the enterprise, government and high-performance computing (HPC) segments, including understood GlaxoSmithKline, Astra Zeneca, TotalEnergies, nference, Argonne National Laboratory, Lawrence Livermore National Laboratory, Pittsburgh Supercomputing Center, Leibniz Supercomputing Center, National Center for Supercomputing Applications, Edinburgh Parallel Computing Center (EPCC), National Energy Technology Laboratoryand Tokyo Electron Devices.

For more information on the new WSE display at the Computer History Museum, please tune in to a live chat Wednesday, August 3 at 2:30 p.m. PT with Cerebras Systems CEO Andrew Feldman and Computer History Museum President and CEO Dan’l lewin https://www.youtube.com/computerhistory/live.

About Cerebras Systems

Brain 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 computing systems, designed with the sole purpose of accelerating AI and changing the future of AI work forever. Our flagship product, the CS-2 system is powered by the world’s largest processor – the 850,000-core Cerebras WSE-2 enables customers to accelerate their deep learning work by orders of magnitude on graphics processing units.

About Carlos V. Mitchell

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