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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"It's too far away and train prices are expensive. But with somewhere this local, it's really accessible and I think that's important with the music industry at the moment."
Replaced by: Custom/DIY (0% → 50%), rest other tools