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On-prem LLM deployment gives enterprises full control over sensitive data. This post summarises the four key steps:

1. Assess requirements — define the use case, expected query volume, and security constraints.
2. Choose a foundation model — LLaMA, Mistral, Qwen depending on language and domain.
3. Prepare infrastructure — inference GPUs, RAM, network bandwidth.
4. Fine-tune and evaluate — train on your own data, benchmark against an internal test set.