Rebecca Lewington

The Pittsburgh Supercomputing Center wants to provide free access to the world’s largest chip for researchers to run…

Using a Cerebras CS-2 computer, scientists are able to simulate large computational fluid dynamics experiments in…

A major initiative by U.S. president Joe Biden called EarthShots to decarbonize the power grid by 2035 and the U.S.…

Cerebras is not your typical AI chip company. And that's a good thing. We already have a lot of knock-offs taking on…

At this year’s supercomputing show in Dallas, we announced a groundbreaking AI supercomputer, we talked ourselves…

The research leveraged several major supercomputers, as well as a major AI-focused system from Cerebras Systems,…

We live in a world that has become accustomed to cloud computing, and now it is perfectly acceptable to do timesharing…

Exascale Cerebras Andromeda cluster packs more cores than 1,954 Nvidia A100 GPUs.

Our joint work with Argonne National Laboratory (ANL) and NVIDIA won the 2022 Gordon Bell Special Prize for HPC-Based…

Visit our booth for unique hardware, expert AI and HPC staffers, and new performance results that will knock your socks…

Today was a proud day for the entire Cerebras family.

Single CS-2 System trains multi-billion parameter NLP models including GPT-3L 1.3 Billion, GPT-J 6 Billion , GPT-3 13…

Across the United States and Europe, supercomputing centers depend on wafer-scale solutions from Cerebras for high…

NCSA unveils new system, HOLL-I, equipped with Cerebras CS-2 for public and industrial artificial intelligence research…

A European supercomputing hub near Munich, called the Leibniz Supercomputing Centre, is deploying Cerebras Systems’…

Wafer madness hits the LRZ in HPE Superdome supercomputer wrapper

Leibniz Supercomputing Centre’s new advanced AI system will enable researchers to accelerate initiatives around machine…

Accelerating AI and HPC with Wafer-Scale Compute from Cerebras Systems

The Cerebras CS-2 system was awarded a Best of Show award as an innovative solution to important problems facing the…

As the pandemic swept across the world, virtually every research supercomputer lit up to support Covid-19…

When the chip is the size of a big pizza pie... that's Cerebras

Leading research institutes are choosing HPE Superdome Flex as the basis of new supercomputing systems designed to…

Cerebras—in collaboration with French multinational TotalEnergies—has announced the development of a massively scalable…

This walk through shows how easy it is to adapt and run PyTorch BERT models on a Cerebras system using the many…

TotalEnergies used the Cerebras CS-2 system to turn a problem long accepted to be memory-bound into compute-bound. On a…

Expanded Software Platform Enables Developers to Seamlessly Scale Large Language Models

Our new release expands PyTorch support and unlocks Cerebras' weight streaming technology for extreme-scale models.

Our CS-2 system delivered the compute performance of more than 120 AI-optimized GPUs, making it possible to train large…

The ability to harness vast amounts of health data using advanced AI technology will lead to new discoveries and…

Cerebras is helping TotalEnergies to advance their clean energy roadmap by delivering >200X speedup on a finite…

Cerebras AI accelerator systems make it possible to train complex models using huge datasets at the speed of science.

Expanded Software Platform Enables Developers to Seamlessly Scale Large Language Models

Expanded Software Platform Enables Developers to Seamlessly Scale Large Language Models

Eye On A.I.

New Partnership Democratizes AI by Delivering Highest Performing AI Compute and Massively Scalable Deep Learning in an…

A look at how the Wafer-Scale Engine trains models much larger than even itself - approaching the scale of a human…

New Partnership Democratizes AI by Delivering Highest Performing AI Compute and Massively Scalable Deep Learning in an…

AI accelerator chips have made machine learning a reality in nearly every industry. With unprecedented pace of compute…

Businesswire

Online Normalization is a new technique for normalizing the hidden activations of a neural network.