Sandboxer vs Lightning AI Studios
Lightning Studios are persistent workspaces that switch between CPU and GPU machines, sleep after 10 idle minutes, and can be duplicated. Free Studios restart every 4 hours. Pick Lightning for GPU-backed ML work; pick Sandboxer for full VMs with root, Docker and nested KVM.
Checked against Lightning AI Studios' public docs on October 24, 2026. Sources are linked in the table and listed below.
At a glance
= not documented publicly.
Where Lightning AI Studios is strong
- GPUs from T4 to H200 on demand.
- Free CPU Studio and free credits.
- Duplicating a Studio copies environment and data.
- Autosleep and persistent storage up to 200 GB.
Where Sandboxer differs
- Studios target ML work with GPUs; Sandboxer has no GPUs.
- Studio sleep keeps files and packages; Sandboxer stop keeps memory and processes.
- Lightning bills credits; Sandboxer bills per second against plan dollars.
Pick Lightning AI Studios if
- You need GPUs, from T4 to H200.
- You want a free CPU workspace.
- You need BYOC on enterprise.
Pick Sandboxer if
- You need a full Ubuntu 24.04 VM with root, systemd, Docker and nested KVM, with agents like Claude Code and Codex preinstalled.
- You want stop to save memory and disk and resume to bring processes back, with stopped sandboxes costing nothing.
- You want a REST API, CLI, TypeScript and Python SDKs, and an MCP server on per-second billing.
Sources
- Lightning pricing
- Lightning: duplicate Studios
- Lightning: environment persistence
- Lightning: auto sleep
Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. Lightning AI Studios is a trademark of its owner. Sandboxer is an independent product and is not affiliated with Lightning AI Studios.
Other comparisons
Firecracker microVMs with memory-preserving pause and fork, and an open-source stack.
Many sandbox classes, from containers to VMs, Windows and GPUs.
Massive scale and GPUs for short-lived sandboxes, gVisor by default.
Firecracker microVMs billed on active CPU, inside the Vercel platform.
- Sandboxer vs boxes.dev
A fresh Linux cloud computer (devbox) per coding agent, with templates, sleep, preview URLs and hour-based plans.
- Sandboxer vs Capy
A cloud coding-agent product: threads run on Firecracker VMs that open pull requests, with a desktop app for local runs.
- Sandboxer vs Cube Computer
A persistent cloud Linux machine for coding agents, used through a Mac app, browser or phone, billed by the minute from prepaid credit.
- Sandboxer vs Datalayer
AI platform for data analysis: managed Jupyter-based runtimes (CPU or GPU) and notebooks that agents and people drive via MCP, SDK and CLI.
- Sandboxer vs exe.dev
Persistent Linux VMs with HTTPS and SSH, sold as a shared CPU/RAM pool, plus disposable VM sandboxes for agents.
- Sandboxer vs GitHub Codespaces
GitHub's cloud dev environments: a dev container on a VM, opened in VS Code or the browser from a repository.
- Sandboxer vs Namespace Devboxes
Remote Linux and macOS machines for agents and developers, with persistent storage, SSH, and shareable authenticated URLs.
- Sandboxer vs Ona
Ephemeral VM-based cloud development environments for developers and coding agents, run on Ona Cloud or in your own VPC.
- Sandboxer vs Prized
Dedicated cloud Linux boxes that sync with your laptop, plus short-lived Firecracker microVM sandboxes (beta) created through an API.