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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When fetch() returns a response, the body is a ReadableStream. If you only check the status and don't consume or cancel the body, what happens? The answer varies by implementation, but a common outcome is resource leakage.。服务器推荐对此有专业解读
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