What Cerebras does
Cerebras (NASDAQ: CBRS) builds wafer-scale AI computing systems and the software used to train and serve large models faster than conventional GPU clusters. Its hardware platform is organized around a Wafer Scale Engine (WSE) and packaged into rack-scale or system-scale deployments (for example, CS-2, CS-3, and CS-4) that customers can run either on-premises or through Cerebras Cloud and partner clouds.
Cerebras’ differentiation is primarily architectural: the Wafer-Scale Engine is physically much larger than standard accelerator chips and is coupled with a software stack designed to exploit wafer-scale compute and memory bandwidth. Cerebras’ inference offering is presented as a low-latency, high-throughput alternative to GPU inference, and its Inference Cloud is positioned to be compatible with OpenAI API-style integration for developers.
Commercially, Cerebras sells (1) wafer-scale training systems (Cerebras CS systems) and related deployments, and (2) fast inference capability via the Cerebras Inference Cloud API. Cerebras also emphasizes hybrid “disaggregated inference” approaches that combine its wafer-scale engine with external racks/accelerators (notably AMD Helios) and hyperscaler infrastructure (notably AWS, including a strategy referenced as integrating AWS Trainium with Cerebras CS-3 for different stages of inference).
As of 2026-09-07, Cerebras is publicly traded after pricing and closing its initial public offering in May 2026, and it continues to expand its product roadmap with CS-4 (announced August 2026) and ongoing cloud/data-center capacity expansion discussed in investor materials.