Why Fine-tuned Open-Source LLMs Can't Launch: The GPU Cost Barrier

This case reveals a structural bottleneck in AI democratization: open-source models and training techniques are now accessible to students, but deployment remains locked behind GPU costs that only enterprises can afford. For any developer building production AI systems, the lesson is clear—technical ability matters far less than infrastructure budget when scaling beyond prototypes.