How to Run Local LLMs Privately Using Ollama and Spring AI

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Developers can run large language models (LLMs) locally on their own machines using Ollama integrated with Spring AI and Spring Boot, eliminating the need to send data to cloud providers like OpenAI or Anthropic. This approach is particularly useful for building AI applications without API costs, working offline, and keeping sensitive company data within internal infrastructure. Ollama supports several open-source models including Llama, Qwen, Gemma, Mistral, and DeepSeek, and exposes a local API that Spring AI can communicate with directly. A practical use case demonstrated is an internal HR customer support assistant where employee queries are handled entirely on-premise. Developers are cautioned that running an LLM locally does not replace the need for proper authentication, authorization, and data security measures.

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