What our customers are saying


"Training which historically took over 2 weeks to run on a large cluster of GPUs was accomplished in just over 2 days — 52hrs to be exact — on a single CS-1. This could allow us to iterate more frequently and get much more accurate answers, orders of magnitude faster."

Nick Brown

Head of AI & Data ScienceAstrazeneca


"Last year we generated more data in three months than in our entire 300-year history. With the Cerebras CS-1, we have been able to increase the complexity of the encoder models that we can generate, while decreasing their training time by 80x."

Nick Brown

Head of AI & Data ScienceAstrazeneca

Lawrence Livermore National Laboratory

"Integrating Cerebras technology into the Lawrence Livermore National Laboratory supercompute infrastructure enabled us to build a truly unique compute pipeline with massive computation, storage, and thanks to the Wafer Scale Engine, dedicated AI processing."

Nick Brown

CTO, Livermore ComputingLawrence Livermore National Laboratory

National Energy Technology Laboratory

"NETL researches and the Cerebras team collaborated to extend the frontier of what is possible."

Dr. Brian J. Anderson

DirectorNational Energy Technology Laboratory

Pittsburgh SupercomputingCenter

"With the Cerebras Technology, we see a machine that is specifically designed for AI and for the potential optimizations in deep learning."

Dr. Paola Buitrago

Director of AI and Big DataPSC

Argonne Nation Laboratory

"Cerebras allowed us to reduce the experiment turnaround time on our cancer prediction models by 300x, ultimately enabling us to explore questions that previously would have taken years, in mere months."

Dr. Rick Stevens

Associate Laboratory Director of Computing, Environment and Life SciencesArgonne National Laboratory

Our unique technology

Wafer-Scale Engine

The revolutionary central processor for our deep learning computer system is the largest computer chip ever built and the fastest AI processor on Earth.

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CS-2 System

Purpose built for AI and HPC, the CS-2 replaces an entire cluster of GPUs. Gone are the challenges of parallel programming, distributed training, and cluster management.

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Software Platform

The Cerebras Software Platform integrates with the popular machine learning frameworks TensorFlow and PyTorch, so researchers can effortlessly bring their models to the CS-2 system.

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Flexible Consumption

On or off-premises, Cerebras Cloud meshes with your current cloud-based workflow to create a secure, multi-cloud solution.

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