Cerebras Systems Inc., based in Sunnyvale, California, is a pioneer in AI computing, specializing in the development of wafer-scale processors designed for AI training and inference workloads. Founded in 2016 by Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, and Jean-Philippe Fricker, Cerebras has raised over $720 million in funding, reaching a valuation of approximately $4.1 billion. The company is recognized for its groundbreaking Wafer-Scale Engine technology, which substantially enhances AI processing speeds by integrating compute, memory, and interconnect fabric on a single, large chip.
Attribute | Information |
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Founding Date | 2016 |
Headquarters | Sunnyvale, California, USA |
Founders | Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, Jean-Philippe Fricker |
Revenue | $136.4 million (first half of 2024) |
Profits | N/A |
Key Investors | Alpha Wave Ventures, Abu Dhabi Growth Fund, Benchmark, Eclipse Ventures |
Industry | Semiconductors, Artificial Intelligence |
Number of Employees | 525 (as of 2025) |
Cerebras Systems was conceptualized in 2015 and officially founded the following year by a group of former SeaMicro engineers, including Andrew Feldman, who envisioned a new approach to AI computing. By creating the Wafer-Scale Engine—a revolutionary AI processor that covers an entire wafer—the team aimed to drastically improve AI computation efficiency. Early funding rounds, including a $27 million Series A and subsequent B and C rounds, helped develop their initial prototype. In 2018, Cerebras secured $88 million in Series D funding, achieving unicorn status, followed by a Series E round in 2019 which propelled its valuation to $2.4 billion. The launch of their first Wafer-Scale Engine in 2019 marked a significant milestone, setting new standards in the AI hardware industry.
Cerebras' business model revolves around the design and production of AI-specific processors that deliver extraordinary computation speeds. These processors are embedded in their CS systems, which are deployed as supercomputers capable of supporting some of the largest AI models. The company's Wafer-Scale Engine is noted for its unprecedented scale and performance, integrating compute, memory, and network capabilities into a single silicon chip.
Cerebras remains at the forefront of technology innovation within the AI domain, leading with its Wafer-Scale Engine technology. The company’s processors are widely used in supercomputing centers and large-scale AI deployments. Recent partnerships and data center expansions have solidified its standing as a key player in AI hardware, directly competing with Nvidia and other incumbents. Cerebras' recent focus on reducing AI inference time and cost by utilizing their robust engineering and innovative approaches continues to strengthen their market position.
Through its pioneering technology and strategic initiatives, Cerebras Systems has positioned itself as a leader in the semiconductor and AI industries. The company's advancement of wafer-scale processing is not only a technical triumph but also a critical factor for enabling next-generation AI applications. As Cerebras moves toward a possible public offering and continues to expand its infrastructure, it is poised to further influence AI processing on a global scale, making significant contributions to industries ranging from healthcare to defense.