Lightning AI Sandbox alternatives
The 6 alternatives below are grouped by kind of sandbox, and each says what it does differently from Lightning AI Sandbox. Start from whatever made you look: missing GPUs, session limits, self-hosting, pricing or isolation.
Why teams look beyond Lightning AI Sandbox
A capable SDK-driven sandbox for Lightning AI users, held back by undocumented isolation and the absence of a dedicated rate card.
- Isolation technology is not documented (no VM, microVM or container claim)
- No Sandbox-specific pricing, no GPU instance types, no stated session limits or regions
- Networking controls (egress allow-listing) are not described
Lightning AI Sandbox alternatives, by kind
Hosted sandbox platforms
SDK-driven sandboxes you create, run code in and destroy through an API.
Daytona
Stateful sandboxes for AI-generated code — Linux containers, Linux and Windows VMs, macOS and GPU sandboxes — with snapshots, volumes and preview URLs.
- Containers or VMs
- BYOC
- GPU
- Pause/resume
How it differs: Long-lived, stateful agent workspaces that need many SDK languages, GPUs, or Windows and macOS sandboxes. The strongest choice for stateful coding-agent workspaces and breadth of sandbox types; note the shift away from open source.
E2B
Open-source cloud sandboxes for AI agents, each a Firecracker microVM, with pause/resume, snapshots and forking.
- Firecracker microVM
- Open source
- Self-hostable
- BYOC
- Pause/resume
How it differs: Code interpreters and short-to-medium-lived agent tasks that need microVM isolation, with an open-source self-host path. The safe default for most agent builders: mature, open source, microVM-isolated and widely supported.
Compute platforms with sandboxes
General serverless or app platforms that also offer sandboxes, often with GPUs.
Baseten Sandboxes
Standby-and-resume sandboxes on the Baseten inference platform, built on the acquired Blaxel stack, with Python, TypeScript and Go SDKs, volumes and a free period until 16 November.
- Not named (Blaxel-based)
- Pause/resume
How it differs: Coding and research agents on Baseten that need a persistent workspace with standby and volumes next to hosted models and RL training. An early, Blaxel-derived sandbox inside the Baseten platform that is attractive to existing customers but still thin on pricing and isolation detail.
Beam Sandboxes
Serverless AI compute platform whose sandboxes are gVisor-isolated containers with memory snapshots, optional GPUs and an open-source, self-hostable runtime.
- gVisor
- Open source
- Self-hostable
- BYOC
- GPU
- Pause/resume
How it differs: Teams that want an open-source, self-hostable sandbox runtime with GPU access. A cost-effective GPU sandbox with an open runtime; best for trusted or semi-trusted code.
Modal Sandboxes
Sandboxes on Modal’s serverless compute platform for running untrusted code at very high scale, with GPUs, snapshots and tunnels.
- gVisor or VM
- GPU
- Pause/resume
How it differs: High-concurrency and GPU-backed sandboxes — RL rollouts, evals and coding agents at scale. The best fit when scale or GPUs matter most, especially for teams already on Modal.
Prime Sandboxes
Disposable, hardware-isolated microVMs that boot OCI images with Docker inside, built for agentic RL rollouts at the scale of thousands of concurrent sandboxes.
- microVM, own kernel
- Pause/resume
How it differs: RL environment rollouts and agent evaluations that need thousands of Docker-capable microVMs at low hourly cost. A low-cost, RL-oriented microVM sandbox with strong networking and checkpoint features, best for Python-centric teams running rollouts at scale.
Lightning AI Sandbox vs alternatives
| Sandbox | Isolation | Open source | Self-host / BYOC | Cold start (vendor) | Max session | Snapshots / pause | GPU | SDKs |
|---|---|---|---|---|---|---|---|---|
| Lightning AI Sandbox | Not named (isolated Linux env) | No | No / Yes | ms (claimed) | Not documented | Yes / Yes | No | Python, JavaScript/TypeScript, CLI |
| Baseten Sandboxes | Not named (Blaxel-based) | No | No / No | Not documented | 7 days default | No / Yes | Not documented | Python, JavaScript/TypeScript, Go, CLI, REST API, MCP server |
| Beam Sandboxes | gVisor | Yes | Yes / Yes | ~0.5 s | Configurable | Yes / Yes | Yes | Python, TypeScript |
| Daytona | Containers or VMs | No | Not documented / Yes | <90 ms | Unlimited | Yes / Yes | Yes | Python, TypeScript, Ruby, Go, Java |
| E2B | Firecracker microVM | Yes | Yes / Yes | Not documented | 1 h / 24 h (Pro) | Yes / Yes | No | Python, JavaScript/TypeScript |
| Modal Sandboxes | gVisor or VM | No | No / Not documented | <1 s | Up to 24 h | Yes / Yes | Yes | Python, JavaScript/TypeScript, Go |
| Prime Sandboxes | microVM, own kernel | No | No / No | Not documented | 60 min default, unlimited | Yes / Yes | No | Python, CLI, REST API |
Frequently asked questions
What are the main alternatives to Lightning AI Sandbox?
Is there an open-source alternative to Lightning AI Sandbox?
Cite this page
Agent Sandboxes. (2026). Lightning AI Sandbox alternatives. agentsandboxes.org. Last reviewed November 9, 2026. https://agentsandboxes.org/alternatives/lightning-ai-sandboxes/
Found an error or a missing sandbox? Submit a correction — every entry links to the sources it relies on.