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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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Article InformationAuthor, 傑克·霍頓（Jake Horton）, 露西·吉爾德（Lucy Gilder），湯姆·愛丁頓（Tom Edgington），推荐阅读搜狗输入法2026获取更多信息
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