📄 中文摘要
随着GPU成为企业AI的架构控制点，计算加速器的容量成为主要限制因素，云计算的一个基本假设——可以随需扩展而无需过多考虑未来——不再成立。这一变化带来了直接的运营影响：容量规划重新回归。企业需要重新审视其资源管理策略，以应对加速器资源的有限性和需求的不断增长。有效的容量规划不仅可以优化资源利用，还能降低成本，提高业务的灵活性和响应能力。
容量规划为何重回舞台
出处: Why Capacity Planning Is Back
发布: 2026年3月3日
📄 English Summary
Why Capacity Planning Is Back
As GPUs have become the architectural control point for enterprise AI, accelerator capacity has emerged as the primary constraint, undermining the cloud's comforting assumption that scaling can occur on demand without extensive foresight. This shift has significant operational implications: capacity planning is making a comeback. Organizations must reassess their resource management strategies to address the limitations of accelerator resources and the ever-increasing demand. Effective capacity planning can optimize resource utilization, reduce costs, and enhance business agility and responsiveness.