// Send result back to the model
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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.
I asked a more data-science-oriented followup prompt to test Opus 4.5’s skill at data-sciencing:，推荐阅读WPS下载最新地址获取更多信息