ACRN Hypervisor vs Cloud Hypervisor

ACRN Hypervisor is a free, open-source Type 1 hypervisor stack for embedded IoT development. It runs directly on Intel x86 bare-metal hardware and supports Linux, Windows and RTOS guests such as Zephyr; the project also lists VxWorks, Xenomai, Celadon and Android. CPU, I/O and networking virtualization are included, with I/O mediators for sharing graphics and audio across virtual machines. Resource partitioning is designed for safety-critical and non-safety-critical domains to coexist on one system-on-chip. The ACRN Device Model provides virtual device emulation. The project describes a codebase under 40K lines and reports low latency, fast boot times and responsive hardware communication. ACRN uses the BSD 3-Clause license, offers a command-line management interface and supports nested virtualization. Source code is maintained in a public GitHub repository with online documentation. Community help is available through mailing lists, IRC channels and monthly technical meetings.

Cloud Hypervisor is a free, open-source virtual machine monitor written in Rust for modern cloud workloads. It runs modern Linux and Windows guests on Linux hosts with x86-64 or AArch64 architectures, using minimal hardware emulation. Operators can manage VM lifecycles through a REST API or command-line interface, with an optional D-Bus API. It supports snapshots, nested virtualization, paravirtualized devices, physical device passthrough, and live migration between hosts without interrupting VMs. Migration data can be encrypted using mutual TLS. The maker says direct kernel boot reaches userspace in less than 100 ms. The project is supported by Kata Containers for running secure containerized workloads and is governed openly as part of the Linux Foundation. It has no commercial plan or usage limits stated. Linux hosts need kernel 4.11 or later for required KVM functionality; kernel 5.6 is recommended for adequate performance. Packages for some popular Linux distributions are available through the Open Build Service. For help, the project points users to GitHub discussions or Slack, with GitHub issues for bug reports and a mailing list for broader discussion.