Cerebras offers unparalleled, specialized hardware for training enormous AI models, but its high cost and niche architecture make it a solution for only the most demanding, large-scale enterprise and research use cases.
Cerebras builds a new class of computer systems, including wafer-scale chips, to accelerate training for the world's largest AI and HPC models.
Cerebras Systems is pioneering a new approach to artificial intelligence compute, moving beyond the limitations of traditional GPU clusters. The company designs and manufactures specialized hardware, centered around its Wafer-Scale Engine (WSE), the largest chip ever built. This chip is integrated into a full computer system, like the CS-3, which is engineered to train massive AI models with trillions of parameters as if they were running on a single, powerful device. This drastically simplifies the distributed computing challenges associated with training large-scale models. Cerebras is built for large enterprises, research institutions, and governments that need to train foundational AI models, particularly large language models (LLMs) and complex high-performance computing (HPC) simulations. The company offers its technology through two primary models: direct purchase of its on-premise CS-3 systems and cloud-based access to its Condor Galaxy AI supercomputer. By providing extreme performance and simplified scaling, Cerebras aims to reduce the time and complexity required to make breakthroughs in AI.
Large enterprises, research labs, supercomputing centers, and governments looking to train massive-scale AI models.
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2016
Sunnyvale, United States
CS-3 System
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