Developer Builds Factory Game to Teach How LLMs Are Deployed and Optimized

A developer on DEV Community has created an interactive factory simulation game designed to explain how large language models are served and optimized in production environments. The game features three progressive levels that introduce real-world concepts such as prefill and decode phases, KV-cache paged memory management, and speculative decoding. Each in-game mechanic directly mirrors techniques used by high-performance frameworks like vLLM, TensorRT-LLM, and Hugging Face TGI. Players must route prompts, manage VRAM constraints, and deploy draft models to hit increasing tokens-per-second targets across difficulty levels. The project aims to make complex ML infrastructure concepts accessible through hands-on, visual gameplay rather than traditional documentation.