Concept本地大模型 / 本地算力
Local Large Model Deployment
The practice of running open-source large models on one's own GPUs or workstations, with interfaces provided through tools such as Ollama, LM Studio and vLLM. Inference does not pass through third-party servers, emphasizing data sovereignty, offline availability and unlimited calls.
Timeline (last 90 days)
Oct 24
The core trade-off of locally deploying a large model is: upfront investment in GPU hardware and operations costs, and model capability is usually slightly inferior to top cloud models, but in exchange you get data sovereignty, offline availability, and unlimited calls.
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