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.
"He's finding his own way, isn't he? It's not like it's just because of his mum and dad. He's doing his own thing, which is lovely. And he's he seems quite good at it, so it's good to support him."
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