一句话：探讨生成式 AI 与 AGI 对计算基础设施的新需求，主张计算需专用化并与算法软件协同优化，兼顾安全与可持续性。
该演讲指出，计算正处于拐点：新兴生成式 AI 服务对算力提出前所未有的需求，而现有依靠架构模式提升效率的路径已经停滞。作者讨论下一代计算基础设施的可能需求，并以 Google 从网络、加速器到服务器的近期实践为例，展示其中的挑战与机遇。演讲主张，未来计算必须日益专用化，并与算法和软件协同优化，同时从根本上关注安全性与可持续性，从而为 AGI 时代的社会基础设施勾勒方向。
Today, we are at an inflection point in computing where emerging Generative AI services are placing unprecedented demand for compute while the existing architectural patterns for improving efficiency have stalled. In this talk, we will discuss the likely needs of the next generation of computing infrastructure and use recent examples at Google from networks to accelerators to servers to illustrate the challenges and opportunities ahead. Taken together, we chart a course where computing must be increasingly specialized and co-optimized with algorithms and software, all while fundamentally focusing on security and sustainability.