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[ARTICLE · art-66691] src=blog.devgenius.io ↗ pub= topic=large-language-models verified=true sentiment=↓ negative

Ollama Was Fun for About Two Weeks. Then Reality Showed Up.

Ollama, a tool for running large language models locally, initially impresses with ease of use but quickly reveals critical limitations for production use, according to a user account. The tool hides advanced llama.cpp features like sampling controls and quantization choices, cannot handle multiple concurrent users without performance degradation, and has caused confusion by labeling distilled models as the original, such as DeepSeek-R1 distills being mistaken for the full model.

read1 min views4 publishedJul 21, 2026
Ollama Was Fun for About Two Weeks. Then Reality Showed Up.
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I still remember the high. ollama run llama3

, two minutes, and suddenly I had a model chatting with me on my own laptop. No CUDA nightmares. No three-hour Saturday lost to a build script. It just worked, and I was that annoying person telling everyone about it.

Then I tried to actually build something with it. That’s where the honeymoon ended.

It hides the good stuff. Ollama runs on llama.cpp underneath, which is genuinely powerful — but you barely get to touch that power. Sampling controls, quantization choices, batching, all the interesting knobs? Locked away or half-documented. It’s the “smart TV that hides the settings menu behind six sub-menus” problem, except the setting you want isn’t even in there.

**Ask it to handle more than one person, and it panics. **This is the real dealbreaker. Ollama was built for you, alone, one chat window. The moment a few teammates hit the same instance, things get ugly — queuing, latency spikes, memory creeping up. It’s not a server. It’s a very polite single-player experience wearing a server costume.

You never really know what you’re running. Quick story: when the DeepSeek-R1 distills dropped, a ton of people pulled the “R1” model through Ollama and thought they had the real thing. They didn’t — it was a Qwen or Llama model…

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