Building Small Language Models Is Easy—Scaling Them Isn't

While advances in model architecture and training make developing small language models increasingly accessible, the infrastructure and operational challenges of deploying them at scale remain significant. This gap between development and production deployment could become a critical bottleneck as more organizations attempt to integrate smaller, cost-efficient models into their systems.