Cerebras Systems, a US-based company pioneering AI computing systems, makes deep learning possible with leading-edge hardware that removes data-related bottlenecks. By offering high-performance speed with scalability and efficiency, it allows researchers and organizations to train large-scale models, thereby continuing to drive innovation in the artificial intelligence sector.
Cerebras Systems designs and manufactures large-scale AI chips and computer systems to be used in high-performance model training and deployment. It is best known for its Wafer Scale Engine, a single large chip with thousands of processor cores to accelerate AI workloads like inference.
With strategic partnerships in place with AWS, Meta, and the US Department of Defense, Cerebras Systems helps enterprises run complex AI workloads on both cloud and on-premise environments. It continues to drive innovation and presents a potential alternative to traditional GPU clusters.
| Legal Name | Cerebras Systems Inc |
| Headquarters | Sunnyvale, California, United States |
| Business Model | B2B |
| Founding Date | 2015 |
| No. of Employees | Approximately 700 (As of 2025) |
The company provides a number of leading-edge AI solutions including the CS-3 System, AI Supercomputers, Inference Cloud, Training Cloud, AI Model Services, and Wafer Scale Engine.
| Andrew Feldman | Co-Founder & Chief Executive Officer |
| Gary Lauterbach | Chief Technology Officer, Emeritus & Co-Founder |
| Sean Lie | CTO & Co-Founder |
| Jean-Philippe Fricker | Chief System Architect & Co-Founder |
| Michael James | Chief Architect, Advanced Technologies & Co-Founder |
| Dhiraj Mallick | Chief Operating Officer |
| Alan Chhabra | EVP of Worldwide Partners |
| Julie Shin Choi | SVP & Chief Marketing Officer |
| Andy Hock | SVP & Chief Strategy Officer |
| Jessica Liu | VP of Product Management |
Cerebras has a number of revenue streams, which flow from sales of novel AI hardware, subscription-based cloud services, and software offerings. In addition, it offers professional support to better help enterprise clients realize the full potential of large-scale AI applications.
Client Segments: Government agencies, large organizations, and research institutions
Target Companies: Organizations involved in medical research, cryptography, energy, and agentic AI applications
Target Geography: Global, with a strong presence in North America and Asia-Pacific, expanding across Europe and the Middle East