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.
Фото: Алексей Даничев / РИА Новости
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本文逐一拆解a16z这三份报告的核心判断,以及这些判断背后,钱正在往哪里流。