Cerebras is a chip company that builds one very large AI processor from a whole silicon wafer and offers fast AI inference as a cloud service.
In plain words
Normal chips are cut from a wafer into many small pieces. Cerebras keeps the wafer as one huge chip, the Wafer-Scale Engine, with lots of memory on the chip itself. Generating text needs model weights moved from memory for every word, so more memory bandwidth means faster answers. Developers use it through an OpenAI-compatible API.
A quick example
Imagine a coding agent that makes dozens of model calls before it finishes a task. Running those calls on a faster inference service shortens the wait, and switching usually means changing only the address and key in the client code.
Where you'll meet it
- Fast inference for chat, coding agents and reasoning models.
- Agents that make many model calls in a row.
Related
Sources
- DocsWafer-Scale AI Chip, Cerebras · read 29 Sept 2026
- DocsCerebras Inference, Cerebras · read 29 Sept 2026
- DocsIntroducing Cerebras Inference: AI at Instant Speed, Cerebras · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 29 Sept 2026. Spotted an error? Report it.