Gemma 2B on CPU tops GPT-3.5 Turbo

Gemma 2B is 87x smaller than GPT-3.5 Turbo but matches its reasoning capability through surgical software guardrails. Six minimal Python fixes solved arithmetic and logic failures that typically plague small models, while running on local CPUs provides total data privacy and zero API costs for developers. The success of this 2B model suggests the industry's reliance on massive GPU clusters may be inefficient for many reasoning tasks, a trend that SeqPU’s platform commoditizes by allowing developers to host optimized models for a fraction of traditional costs.