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See how Cerebras is empowering companies from all disciplines to improve their results. Every story is different, but all have the same result – better performance, faster results, shorter time to market.

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LLM
Chip

This revolutionary model is designed to improve diagnostics and personalize treatment selection, starting with progress in Rheumatoid Arthritis treatment.

This revolutionary model is designed to improve diagnostics and personalize treatment selection, starting with progress in Rheumatoid Arthritis treatment.

TotalEnergies is one of the largest energy companies in the world. They chose the Cerebras CS-2 for their AI and simulation work and found that the CS-2 was 200x faster than graphics processing units on key benchmarks.

Leibniz Supercomputing Centre

LRZ’s new supercomputer will deliver next-generation AI technologies to accelerate scientific research in the Bavarian region of Germany.

Pittsburgh Supercomputing Center

Democratizing access to high performance AI compute for academics

EPCC

Enabling national-scale genomics research for public health initiatives in Scotland

Lawrence Livermore National Laboratory

Blending high performance computing with artificial intelligence

With AI, they can iterate and experiment in real-time by running queries on hundreds of thousands of abstracts and research papers. With a CS-1 system, they are training models in just over two days that previously took more than two weeks.

National Energy Technology Laboratory

Setting records in computational fluid dynamics

National Center for Supercomputing Applications

Powered by the CS-2, NCSA’s HOLL-I supercomputer is designed to accelerate researchers’ large-scale AI and machine learning tasks.

Aleph Alpha is a European AI company focused on developing sovereign AI solutions, providing advanced language models and AI technologies tailored to meet the specific needs and regulatory requirements of European entities.

LLM

Cerebras collaborated with researchers at Sandia National Laboratories, Lawrence Livermore, Los Alamos National Laboratory, and the National Nuclear Security Administration on this record setting result to unlock the millisecond-scale for scientists, enabling them to see further into the future than ever before.

Nference

Making the world’s biomedical knowledge computable

Argonne National Laboratory

In partnership with the National Institutes of Health and National Cancer Institute

Chip

Taking advantage of new kinds of neural network models to accelerate drug discovery

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