Fast Tokens Compound: 10-Turn Agent Loops in 12 Seconds
A 10-turn benchmark showing how software and hardware inference optimizations compress multi-step coding-agent work.
RESEARCH
Agentic AI, workflow automation, and what actually works for small businesses.
On matched runs, a 31B multimodal model on Cerebras cleared browser tasks 3.8x faster than Claude Sonnet 5, reading a screenshot at every step. A one-page playbook distilled from a careful model cut its wasted steps by two thirds.
Read the research →A 10-turn benchmark showing how software and hardware inference optimizations compress multi-step coding-agent work.
What would a frontier-capable AI running at 10,000 tokens per second mean, and could we actually get there? The case from three trends: rising intelligence density, software-only speedups, and Cerebras wafer-scale silicon.