贝恩咨询预测，在温和情景下，未来AI推理基础设施支出可能下降30%-50%。这正是杰文斯悖论的反向演绎：通常情况下，资源使用效率的提升会增加总需求；但在AI领域，当算法优化的速度超过应用落地的速度时，效率提升反而先冲击了硬件供应商的定价权。
by splitting it in half: the astute reader will note that the size of a bucket is 16LL<<bucket and each larger bucket is twice the size of the
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For running untrusted code in a multi-tenant environment, like short-lived scripts, AI-generated code, or customer-provided functions, you need a real boundary. gVisor gives you a user-space kernel boundary with good compatibility, while a microVM gives you a hardware boundary with the strongest guarantees. Either is defensible depending on your threat model and performance requirements.