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Speed, caching, and the 40x cost wall

DEV Community·Sanket Sahu·25 days ago
#whQwMsMD
#ai#llm#buildinpublic#cerebras#agent#caching
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This is mid-thought, mid-evaluation, mid-engineering. Posting it because writing it out helps me think. We have been running the RapidNative agent on Cerebras for a while now. The speed is unreal. GLM 4.7 streaming on Cerebras is the first inference experience that genuinely feels like the future. It is hard to go back. But this week I sat down with the cost numbers and the math hit different. The agent we started with When RapidNative was generating one component at a time, the agent was simple. One model. One system prompt with all the instructions. One screen out, maybe a couple of files. We could hold the whole thing in our heads. It stopped fitting fast. Real apps need plan mode, sub-agents that handle specific sub-tasks, MCP servers, skills you can compose. We were building all of that ourselves and the system was getting noisy.…

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