Ollama's Chinese Model Support Is Real — But Running Kimi and DeepSeek Locally Has a Hidden Cost (opens in new tab)

Your error rate just spiked 12%. Three weeks of debugging, $40k in developer hours, and the coffee's cold. The terminal is still red. You've been burning through API credits calling a US-based LLM, and every query that touches proprietary code feels like handing your competitor a roadmap. Now imagine you could run that same model locally. On your own GPU. Zero data leaving your infrastructure. That's the promise behind Ollama's recent expansion to support Chinese AI models — Kimi-K2.5, GLM-5,...