Ollama's Chinese Model Support Is Real — But Running Kimi and DeepSeek Locally Has a Hidden Cost

Ollama's introduction of Chinese AI models like Kimi and DeepSeek to run locally on your own hardware promises significant benefits, like avoiding data leaks and reducing reliance on external APIs. However, the transition isn't without its challenges; users are reporting steep debugging costs and significant time investments, alongside the substantial financial outlay for local setups. This shift matters because it empowers organizations to maintain control over their data and potentially reduce costs, though the initial barrier to entry could be a deterrent.