Case Study: Cognition achieves faster, smoother AI coding agents with Cerebras Inference

A Cerebras Case Study

Preview of the Cognition Case Study

Cognition speeds coding agents up to 5x with Cerebras

Cognition, an AI company developing coding agents, faced the challenge of frustrating delays in AI-assisted software development. Using GPU-based inference resulted in 20-30 second generation times that broke a developer's concentration and forced context-switching. The industry needed a solution that delivered more speed and scale without compromising on the intelligence of larger models.

Powered by Cerebras Inference, Cognition's solution co-designed its agents and models to run on Cerebras hardware. This enabled their SWE-1.6 model to generate up to 950 tokens per second, making it up to ~5x faster than their GPU tier. The result is a dramatically smoother agent experience where complex tasks like updating Kubernetes manifests can be completed in under five seconds, keeping developers in their flow state and unlocking new interaction patterns.


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