The fastest AI inference and training platform, powered by the wafer-scale engine

Cerebras is an AI infrastructure company that designs the largest processors ever built. Its Wafer-Scale Engine dedicates an entire silicon wafer to a single chip, packing trillions of transistors and hundreds of thousands of AI-optimized cores into one device. That architecture eliminates the interconnect bottlenecks of GPU clusters and powers the CS-3, a supercomputer-class system built specifically for large-scale deep learning workloads.

The company delivers this compute through a full-stack platform spanning an inference cloud, training and fine-tuning services, and dedicated or on-premise deployments for organizations with strict compliance and data-residency requirements. Developers gain API access to frontier open and commercial models served at speeds measured in hundreds of tokens per second, while enterprises can stand up private clusters that scale linearly across systems.

Cerebras differentiates on raw speed, claiming inference many times faster than GPU-based alternatives. Sub-second reasoning unlocks use cases that slower infrastructure cannot support, including real-time coding assistants, agentic pipelines, voice interfaces, and complex search. Teams in medical research, energy, cryptography, and defense-adjacent fields rely on Cerebras when latency, scale, and deployment flexibility all matter at once.