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The second approach offers broader feature support, seen in projects like Cloud Hypervisor or QEMU microvm. Built for heavier and more dynamic workloads, it supports hot-plugging memory and CPUs, which is useful for dynamic build runners that need to scale up during compilation. It also supports GPU passthrough, which is essential for AI workloads, while still maintaining the fast boot times of a microVM.
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Российская сторона дала жесткую реакцию на инициативу Зеленского02:47
军方声明指出，该指挥官负责督导克尔曼沙赫区域的导弹作战任务，曾指挥向以色列境内发射大量弹道导弹。（央视新闻）
Зеленский провел встречу с особым представителем и зятем Трампа20:46