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 a great origin story,” Brewster says. He points out that SpeedPro’s product focus is precisely why the franchise works — businesses want the company’s offerings. SpeedPro has posted more than 5% growth each of the last four years.