What our customers are saying
AstraZeneca
"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
GlaxoSmithKline
"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.
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.
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.
Flexible Consumption
On or off-premises, Cerebras Cloud meshes with your current cloud-based workflow to create a secure, multi-cloud solution.