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SPECIFICTION
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Colima

colima.run

Free plan macOSLinux
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Spec score 8.6 #2 of 23 in Local Kubernetes Tools

What it is

Colima runs container environments on macOS and Linux, with Docker, containerd, Kubernetes and Incus runtime options. Docker compatibility is intended to let existing Docker workflows and tools continue without changes; containerd users can use nerdctl for a Docker-like command line. It can launch a local, single-node k3s cluster, and users can select an exact K3s version. CPU, memory and disk allocations are configurable, and multiple isolated instances can run with different settings. Colima also documents GPU-accelerated AI workloads on Apple Silicon using Krunkit, with model runners supporting Docker AI Registry and HuggingFace; Ramalama also supports Ollama registries. Those workloads require Apple Silicon, macOS 13 or newer, and Krunkit, with at least 8 GB of RAM recommended. The AI containers are isolated from the host filesystem, other containers and network access unless network access is enabled. Colima is free and MIT-licensed, with installation options for macOS and Linux. Incus virtual machines require m3 or newer Apple Silicon.

Spec sheet

Purpose
Colima provides container runtimes on macOS and Linux with minimal setup.Read 3 Oct 2026 · colima.run
Support
The project lists GitHub Discussions, GitHub Issues, announcements, and a #colima channel in CNCF Slack as community channels.Read 3 Oct 2026 · github.com
License
Colima is released under the MIT License.Read 3 Oct 2026 · colima.run
AI isolation
The AI documentation says containers are isolated from the host filesystem, other containers, and network access unless network access is explicitly enabled.Read 3 Oct 2026 · colima.run
AI model registries
Its documented model runners support Docker AI Registry and HuggingFace, while Ramalama also supports the Ollama registry.Read 3 Oct 2026 · colima.run
AI model sources
Its documented model runners support Docker AI Registry and HuggingFace, while Ramalama also supports Ollama registries.Read 3 Oct 2026 · colima.run
AI requirements
GPU-accelerated AI workloads require Apple Silicon, macOS 13 or newer, and Krunkit; the guide recommends at least 8 GB of RAM.Read 3 Oct 2026 · colima.run
AI workloads
Colima supports GPU-accelerated AI workloads on Apple Silicon using the Krunkit VM type.Read 3 Oct 2026 · colima.run
Containerd
Colima supports the containerd runtime and nerdctl for a Docker-like command-line experience.Read 3 Oct 2026 · colima.run
Default VM
The project README states that a default Colima VM has 2 CPUs, 2 GiB memory, and 100 GiB storage.Read 3 Oct 2026 · github.com
Docker
Colima provides Docker compatibility so existing Docker workflows and tools can be used without changes.Read 3 Oct 2026 · colima.run
Docker compatibility
The maker says Colima is fully Docker compatible and existing Docker workflows and tools work without changes.Read 3 Oct 2026 · colima.run
Incus
Colima supports Incus for running system containers and virtual machines.Read 3 Oct 2026 · colima.run
Installation
The installation guide provides macOS and Linux installation options, including Homebrew and manual installation.Read 3 Oct 2026 · colima.run
Isolation
The AI workloads documentation says containers are isolated from the host filesystem, other containers, and network access unless network access is explicitly enabled.Read 3 Oct 2026 · colima.run
Kubernetes
Colima can start a local k3s Kubernetes cluster with a single command.Read 3 Oct 2026 · colima.run
License and support
Colima is an independent open-source project released under the MIT License, with community support through GitHub Discussions and Issues.Read 3 Oct 2026 · colima.run
Lightweight
Colima runs with sensible defaults intended to avoid burdening the CPU.Read 3 Oct 2026 · colima.run
Notable limitation
Running virtual machines through Incus is supported only on m3 or newer Apple Silicon devices.Read 3 Oct 2026 · github.com
Profiles
Colima supports multiple isolated instances with different configurations running simultaneously.Read 3 Oct 2026 · colima.run
Resource controls
Users can allocate CPU, memory, and disk resources to Colima instances.Read 3 Oct 2026 · colima.run
Runtimes
It supports Docker, containerd, Kubernetes, and Incus runtimes.Read 3 Oct 2026 · colima.run

Plans and prices

Colima Free Container runtimes on macOS and Linux · MIT licensed open-source project Read 3 Oct 2026 · colima.run

Every Colima plan and price →

Strong points and limits

Strong points

  • Docker workflows and tools can be used without changes.
  • Supports Docker, containerd, Kubernetes and Incus.
  • Configurable CPU, memory and disk allocations.
  • Multiple isolated instances can run simultaneously.
  • Free and released under the MIT License.

Limits

  • GPU-accelerated AI workloads require Apple Silicon and macOS 13 or newer.
  • Incus virtual machines require m3 or newer Apple Silicon.
  • No multi-node clusters or IDE integration.

Who it suits

Colima suits developers who want local container runtimes or a single-node Kubernetes cluster on macOS or Linux. Its AI workload support is relevant to Apple Silicon users who meet the stated requirements.

Verdict

Colima covers several local container runtimes and offers configurable, isolated instances at no cost. Check the Apple Silicon and macOS requirements for AI workloads, and the newer-device limit for Incus virtual machines.

Where Specifiction places it

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