18 January 2026ShareSave
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丰富任务类型：覆盖全生命周期 AI 工作流，推荐阅读服务器推荐获取更多信息
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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.