# Modal

> Serverless AI cloud for inference, training, batch jobs and scalable sandboxes that give agents their own computers

Source: https://dontaskagain.com/modal
Website: https://modal.com/?utm_source=dontaskagain
Pricing: Freemium
Categories: [Sandboxes](https://dontaskagain.com/categories/sandboxes.md)
Listed: 2026-10-18
Updated: 2026-10-18

Modal is a serverless cloud for developing, training and serving AI applications, and its Sandboxes product gives agents their own computers. Developers define containers and functions in Python code, and Modal handles provisioning, GPU capacity, scaling and isolation for everything from coding agents to RL rollouts.

**Key features:**

- Create millions of concurrent sandboxes programmatically in under a minute.
- Run any custom image and snapshot and restore sandboxes for fast startup.
- Burst CPU and memory on demand without over-allocating.
- Serve models through OpenAI-compatible endpoints or custom inference stacks.
- Fine-tune on single or multi-node GPUs with RL, SFT and LoRA.
- Fan out parallel functions, batch jobs and web endpoints that scale to zero.

Modal bills per second for CPU, GPU and memory, with sandboxes at non-preemptible rates. The Starter plan is $0 plus compute with $30 of free credits a month; Team is $250/month plus compute with $100 in credits, and Enterprise adds Okta SSO, audit logs and HIPAA.

## More sandboxes

- [Browserbase](https://dontaskagain.com/browserbase.md): Cloud browser platform that lets AI agents log in, navigate, fill forms and extract data from any website at scale
- [Hyperbrowser](https://dontaskagain.com/hyperbrowser.md): Cloud browsers, sandboxes and web data APIs for AI agents, plus managed agents that run browser tasks from a prompt
- [Steel](https://dontaskagain.com/steel.md): Open-source browser API that spins up fleets of cloud browsers for agents to research, scrape, shop and fill forms
- [Anchor Browser](https://dontaskagain.com/anchor-browser.md): Cloud browser infrastructure that runs fleets of managed Chromium agents to automate authenticated web tasks at scale
- [Cua](https://dontaskagain.com/cua.md): Shared virtual desktops where you and computer-use agents like Claude Code or Codex work side by side
- [E2B](https://dontaskagain.com/e2b.md): Cloud sandboxes that give each AI agent an isolated microVM with a shell, filesystem, browser and network
- [Daytona](https://dontaskagain.com/daytona.md): Sandbox infrastructure for running AI-generated code in isolated, stateful environments that start in under 90 ms
- [Runloop](https://dontaskagain.com/runloop.md): Micro-VM sandboxes called Devboxes for building, evaluating and running AI coding agents at scale