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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“我们要按照习近平总书记的要求，持续巩固拓展脱贫攻坚成果，把常态化帮扶纳入乡村振兴战略统筹实施，守牢不发生规模性返贫致贫底线，夯实乡村全面振兴根基。”卢春涛说。