How to Build a Local LLM in Docker: A Fast-Track Guide for AI Engineers

How to Build a Local LLM in Docker: A Fast-Track Guide for AI Engineers

Running a large language model (LLM) locally offers serious advantages: privacy, speed, offline capabilities, and cost control. Wrap that in Docker, and you’ve got a clean, portable setup ready for production or local R&D. Here’s how to build a local LLM inside a Docker container without rage-quitting or sacrificing GPU horsepower. Step 1: Pick Your […]

How to Build a Local LLM in Docker: A Fast-Track Guide for AI Engineers Read More »