The original title is "On-Premise AI Code Review: Deploying Open-Weight LLMs in an Air-Gapped Environment"

Short summary

A practical guide to deploying AI code review entirely on-premise in an air-gapped defense contractor environment, where cloud APIs are prohibited. Covers hardware requirements (2x A100 80GB GPUs for teams under 25 engineers, ~$30-45K), model selection (Llama 3.3 70B at 4-bit quantisation recommended), inference server setup, and CI/CD integration. The architecture passed compliance review because code never leaves the network and no vendor is in the loop.

• •Guide for air-gapped on-premise AI code review using open-weight models like Llama 3.3 70B
• •Hardware sizing: 2x A100 80GB GPUs for teams under 25 engineers, ~$30-45K total cost
• •Architecture eliminates vendor trust since code never leaves the classified network

Generated with AI, which can make mistakes.