DeepSeek's lean architecture exposes GPU-scaling assumptions in AI

DeepSeek V4.1 Flash achieves competitive reasoning and instruction-following on modest hardware, demonstrating that frontier model performance no longer requires proportional computational scaling. This directly challenges the capital-intensive GPU moat that has protected OpenAI, Anthropic, and Nvidia's market position. The economic barrier to entry for capable LLM deployment is collapsing, which raises a harder question for incumbents: model architecture and training efficiency may matter more than raw parameter count and compute spend.