Developer uses Claude Code to build a tiny 10k tok/s CPU model, shares 3 findings
GregoryDiamos · x · 2026-09-07
Developer Gregory Diamos needed an outrageously small neural net running at 10k tokens/sec on CPU for data processing. Instead of building it by hand, he gave Anthropic's Claude Code a large token budget to construct one.
The exercise surfaced three interesting discoveries (detailed in the attached image). His takeaway: the industry should revisit extremely small neural networks for high-throughput data pipelines, where tiny models can be a pragmatic engineering choice over large models.
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