Cerebras designs AI computing solutions that are faster, more powerful, and easier to deploy than GPUs. Powered by our breakthrough Wafer-Scale Engine-3, the Cerebras CS-3 sytem clusters seamlessly to form the world’s most powerful AI supercomputers.

Powered by the Wafer-Scale Engine, Cerebras achieves revolutionary speeds in HPC workloads - hundreds of times faster than traditional GPU clusters. Animation: NETL/PSC. Learn more

Mar 28, 2023 · Cerebras open sources seven GPT-3 models from 111 million to 13 billion parameters. Trained using the Chinchilla formula, these models set new benchmarks for accuracy and compute efficiency.

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Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Train and fine-tune models ranging from 1 billion to 24 trillion parameters—far faster than the largest publicly available cloud GPU instances. With Cerebras Cloud, you’ll reduce training time, lower costs, and accelerate innovation.

Mar 19, 2025 · The Cerebras SDK provides a host runtime known as SdkRuntime, and associated functionality in the CSL memcpy library, to load programs, launch functions, and transfer data on and off the Wafer-Scale Engine.

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Mar 19, 2025 · This section presents a conceptual view of computing with the Cerebras architecture. Read this before you get into the details of how to write programs with the Cerebras SDK. The Cerebras Wafer-Scale Engine (WSE) is a wafer-parallel compute accelerator, containing hundreds of thousands of independent processing elements (PEs).

TotalEnergies used the Cerebras CS-2 system to turn a problem long accepted to be memory-bound into compute-bound. On a benchmark case inspired by a seismic kernel used to image the Earth, the CS-2 delivered more than 200x performance compared to a NVIDIA® A100 GPU.