In-house LLM

Deploying an in-house LLM grants your organization full control over sensitive data, ensuring strict regulatory compliance and protecting proprietary intellectual property.

An In-house LLM is a strategic platform: you build, train, and deploy models like Llama 3 or Mistral directly on your private cloud or on-premise infrastructure. This architecture eliminates third-party data exposure, a necessity for industries handling PII and trade secrets. You gain granular control over the entire lifecycle, from fine-tuning a 70B-parameter model on proprietary datasets to serving inference via Kubernetes and NVIDIA Triton Server. The result is a highly customized, low-latency AI solution that aligns precisely with unique business logic and security protocols, reducing long-term operational costs associated with external API calls.

https://llm.co/blog/llms-behind-closed-doors-building-secure-in-house-ai-models