Cerebras Systems, founded in 2015, designs and builds a new class of AI supercomputers and wafer-scale chips purpose-built for large-scale machine learning. Its central product is a wafer-scale AI chip claimed to be 56 times larger than a conventional GPU, consolidating the compute power of dozens of GPUs onto a single device while presenting the programming interface of a single unit. Built around that chip, Cerebras's AI supercomputers are designed to deliver high-speed training and inference without requiring users to orchestrate hundreds of GPUs.
The company's technical work spans computer architecture, wafer-scale design, deep learning research, AI hardware engineering, and ML infrastructure. The team is composed of computer architects, deep learning researchers, and hardware engineers working across the full stack - from silicon to systems software. Cerebras has a recent partnership with OpenAI aimed at bringing high-speed AI inference to a broader market.
Cerebras works with a range of large-scale customers, including global corporations, national laboratories, and major healthcare systems. Its products are positioned to address the operational and computational demands of training and running large AI models, with an emphasis on reducing infrastructure complexity for end users.
