Apple container vs gVisor
Apple container
github.comgVisor
gvisor.devSide by side
| Figure | Apple container | gVisor |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| macOS | Yes | — |
| Linux | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Container Engines | 8.0 (#8) | 8.3 (#6) |
| Spec score · Container Runtime Software | 8.1 (#10) | 8.3 (#7) |
| Purpose | Apple container creates and runs Linux containers as lightweight virtual machines on a Mac. | gVisor is an open-source Linux-compatible sandbox and application kernel that isolates containers from the host operating system. |
| Requirements | Running the tool requires a Mac with Apple silicon, and the project says it is supported on macOS 26. | The installation guide says gVisor supports x86_64 and ARM64 and requires Linux 5.6 or later. |
Plans
In their own words
Apple container
Apple container creates and runs Linux containers as lightweight virtual machines on a Mac. Written in Swift and optimized for Apple silicon, it gives each container its own lightweight virtual machine with core utilities and libraries. Host data is shared by mounting only the data needed inside each virtual machine. The tool consumes and produces OCI-compatible images that can be pulled from and pushed to standard registries. Documented features include CPU and memory limits, bind mounts, named volumes, tmpfs, DNS-based names, port forwarding, and isolated networks. It can run local single-node or multi-node Kubernetes clusters for development and testing, and documentation covers building, running, and publishing images for Apple silicon and x86-64. Integrations include macOS Virtualization, vmnet, XPC, launchd, Keychain services, and unified logging. Apple container is free, Apache-2.0 licensed, and supported on macOS 26, but requires Apple silicon. The project is under active development.
gVisor
gVisor is a free, open-source Linux-compatible sandbox and application kernel for running containers while isolating the host from untrusted code. It is intended for workloads such as user-uploaded, LLM-generated, and third-party code. Instead of passing sandboxed applications’ system calls directly to the host, its Sentry handles them; a Gofer process mediates filesystem access. The project describes a least-privilege design with a restrictive system call filter. It documents use with Docker, Kubernetes, containerd, and OCI runtimes, including Kubernetes configurations using GKE Sandbox, Minikube, or containerd with the gVisor shim. gVisor can stream application trace points to an external threat detection engine such as Falco, and can checkpoint and restore containers. Most CUDA applications can run unmodified in the sandbox with selected NVIDIA driver versions, but GPU support is restricted to certain models, drivers, capabilities, device files, ioctl calls, and platforms. Installation requires Linux 5.6 or later on x86_64 or ARM64. Compatibility is best-effort, and some applications may not work because not every system call, /proc file, or /sys file is implemented. Hardware side-channel protection is generally not provided.