In late 2025, news of ByteDance's massive investment plan to procure tens of thousands of Nvidia's top-tier AI chips captured the tech world's attention. While media narratives focused on capital rivalry and geopolitics, a far more monumental and complex engineering challenge was quietly overlooked: transforming these chips into usable, efficient, and stable computing power is vastly more difficult than acquiring them. As chip counts scale from hundreds in labs to tens of thousands for indust...