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.
这也意味着,未来不管是手机厂商自己内置的 AI 助手,还是 ChatGPT 等第三方应用,都能调用 AppFunctions 执行任务,或者「读懂」手机 UI 进行自动操作。
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