Cerebras Systems Inc. is an American artificial intelligence (AI) company with offices in Sunnyvale, San Diego, Toronto, and Bangalore, India.

The museum added to its permanent collection and unveiled a new display featuring the WSE-2—the biggest computer chip made so far—marking an "epochal" achievement in the history of fabricating transistors as an integrated part.

[21][22] Cerebras filed its prospectus for initial public offering (IPO) in September 2024, with the intention of listing on the Nasdaq exchange under the ticker 'CBRS'.

[26] The Cerebras Wafer Scale Engine (WSE) is a single, wafer-scale integrated processor that includes compute, memory and interconnect fabric.

[12][13][14] In April 2021, Cerebras announced the CS-2 AI system based on the 2nd-generation Wafer Scale Engine (WSE-2), manufactured by the 7 nm process of TSMC .

[37] In November 2022, Cerebras unveiled the supercomputer, Andromeda, which combines 16 WSE-2 chips into one cluster with 13.5 million AI-optimized cores, delivering up to 1 Exaflop of AI computing horsepower, or at least one quintillion (10 to the power of 18) operations per second.

[40] In July 2023, Cerebras and UAE-based G42 unveiled the world's largest network of nine interlinked supercomputers, Condor Galaxy, for AI model training.

[43] In August 2024, Cerebras unveiled its AI inference service, claiming to be the fastest in the world and, in many cases, ten to twenty times faster than systems built using the dominant technology, Nvidia's H100 "Hopper" graphics processing unit, or GPU.

[49] Other pharmaceutical industry customers include AstraZeneca, who was able to reduce training time from two weeks on a cluster of GPUs to two days using the Cerebras CS-1 system.

[51] A series of models running on the CS-1 to predict cancer drug response to tumors achieved speed-ups of many hundreds of times on the CS-1 compared to their GPU baselines.

[56] In March 2022, Cerebras announced that the Company deployed its CS-2 system in the Houston facilities of TotalEnergies, its first publicly disclosed customer in the energy sector.

[47] Cerebras also announced that it has deployed a CS-2 system at nference, a startup that uses natural language processing to analyze massive amounts of biomedical data.

The CS-2 will be used to train transformer models that are designed to process information from piles of unstructured medical data to provide fresh insights to doctors and improve patient recovery and treatment.

[60] In November 2022, Cerebras and the National Energy Technology Laboratory (NETL) saw record-breaking performance on the scientific compute workload of forming and solving field equations.

[63][64] Cerebras partnered with Emirati technology group G42 to deploy its AI supercomputers to create chatbots and to analyze genomic and preventive care data.

[65][66][67] In August 2023, Cerebras, the Mohamed bin Zayed University of Artificial Intelligence and G42 subsidiary Inception launched Jais, a large language model.

The new genomic foundation model is designed to improve diagnostics and personalize treatment selection, with an initial focus on Rheumatoid Arthritis.

[72] Cerebras AI Inference services claims to be the fastest in the world and, in many cases, ten to twenty times faster than systems built using the dominant technology, Nvidia's H100 "Hopper" graphics processing unit, or GPU.

[74] Also in February 2025, Cerebras announced a partnership with Perplexity AI that promises to deliver near-instantaneous AI-powered search results at speeds previously thought impossible.

The collaboration centers on Perplexity's new Sonar model which runs on Cerebras chips at 1,200 tokens per second making it one of the fastest AI search systems available.