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I'm running a 284-billion-parameter model locally, and it competes with cloud AI
DeepSeek V4 Flash can be run locally thanks to some wizardry, and it works really well.
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Discussion on "Running Ollama Locally vs in the Cloud: A Practical Look at AI Infrastructure" | Hashnode
https://hashnode.com/posts/running-ollama-locally-vs-in-the-cloud-a-practical-look-at-ai-infrastructure/6a2a848ba339b335c15e1f38Comment by Mateo Ruiz on "Running Ollama Locally vs in the Cloud: A Practical Look at AI Infrastructure" | Hashnode
https://hashnode.com/posts/running-ollama-locally-vs-in-the-cloud-a-practical-look-at-ai-infrastructure/6a2a848ba339b335c15e1f38/comment/6a2a85863b020503009c35db
Ollama's Chinese Model Support Is Real — But Running Kimi and DeepSeek Locally Has a Hidden Cost - DEV Community
https://dev.to/xu_xu_b2179aa8fc958d531d1/ollamas-chinese-model-support-is-real-but-running-kimi-and-deepseek-locally-has-a-hidden-cost-1e8n
MiniMax plans China's biggest AI model, and will open-source it
https://thenextweb.com/news/minimax-2-7-trillion-parameter-open-source-model
Claude plus a local LLM cuts my AI costs in half, and I'm never going back to cloud-only
https://www.xda-developers.com/my-local-llm-doesnt-replace-claude-it-makes-claude-dramatically-better/