黄仁勋（Jensen Huang）解释了 AI 与传统软件的区别，以及为什么这不是泡沫。 传统软件是预编译的。 也就是说，它只需构建一次、存储一次，然后可以被反复执行，而几乎不需要额外的计算。 它在完成后并不依赖持续的高算力。用户只是运行已经写好的程序——一种工具。 但 AI 完全不同。 AI 的输出是在实时生成的。 它必须在每次使用时处理上下文、进行推理、并即时产生“智能”，而不是提前计算好。 这意味着 每一次请求都需要持续的计算能力。 因此，AI 系统依赖持续运行的 GPU，像工厂制造产品一样“生产”每一个 token。 换句话说，AI 不是静态的软件工具，而是一种 需要大型、持续在线基础设施来动态创造智能的主动计算过程。 Jensen Huang explains the difference between AI and traditional Software and why there's no bubble. Traditional software was pre-compiled, meaning it was built once, stored, and then executed repeatedly with little computation. It didn’t need constant high-power processing once finished. Users simply ran the completed program as a tool. AI, by contrast, generates its output in real time. It must process context, reason, and produce intelligence at the moment of use, not in advance. This requires ongoing computation for every request. Because of that, AI systems depend on continuous GPU power to “manufacture” responses like a factory producing tokens. So instead of static software tools, AI is an active computational process that needs large-scale, always-on infrastructure to create intelligence dynamically.