Compare Multipass vs. Runcrate in 2026

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Description

With just one command, you can swiftly create an Ubuntu virtual machine using Multipass, which is capable of launching and managing VMs while configuring them with cloud-init, akin to public cloud environments. This tool allows you to experiment with cloud launches right on your local machine at no cost, and in just five minutes, you'll realize how effortlessly a lightweight cloud setup can be achieved. To get started, you can launch several LTS instances, check their status, execute commands, apply cloud-init configurations, and remove older instances as needed. For those looking to master the Linux command line, the "Ubuntu Server CLI cheat sheet" serves as a quick reference for skills ranging from basic file management to advanced deployments like Kubernetes and OpenStack. Multipass also features a command line interface that simplifies the launching, management, and interaction with Linux instances. You'll find that downloading a fresh image is incredibly fast, enabling you to have a fully operational VM in mere minutes. Furthermore, you can create Ubuntu instances and initialize them with cloud-init metadata, similar to setups on AWS, Azure, Google, IBM, and Oracle clouds, allowing you to effectively simulate a cloud deployment directly on your workstation. This capability makes it easier than ever to experiment and learn about cloud computing without the need for extensive resources.

Description

Runcrate offers AI teams and their agents a unified account to access GPUs and inference capabilities seamlessly. Users can rent various GPU models, including H100, H200, A100, L40S, RTX 4090, and RTX PRO 6000, with over 20 options available, for hourly use, featuring SSH, Jupyter, and VS Code directly in their browsers. A launch can be initiated in approximately four minutes, and users are only charged for running time, with most GPUs billing by the second. In terms of inference, clients can access more than 200 open models, such as DeepSeek, Qwen, Llama, Kimi, FLUX, and Whisper, through a single OpenAI-compatible API, ensuring compatibility with existing clients. Pricing is structured based on usage metrics like tokens, images, or seconds, while storage volumes allow for the retention of datasets and checkpoints across different instances. Reserved clusters can support over eight GPUs or provide month-long service options. Designed specifically for agents, users can connect tools like Claude Code, Codex, or Cursor to the Runcrate MCP server using a single command and sign in via their browser without needing to input any keys. Once connected, agents can easily launch a GPU, execute commands, and shut it down when finished. Additionally, the platform provides a command-line interface, which can be installed with a simple command, along with SDKs available for both Python and TypeScript to enhance development flexibility.