Google Colab vs Lightning AI Studios
Colab is a session; Lightning is a machine. When a Colab runtime recycles, your installs and files go with it. A Lightning Studio keeps its filesystem and environment while you switch it between CPU and GPU, which is what multi-day projects actually need. Colab is free and instant; Lightning bills for usage and expects you to work like an engineer.
At a glance
| Google Colab | Lightning AI Studios | |
|---|---|---|
| What it is | Google's hosted Jupyter: a notebook in the browser with a GPU available on the free tier | Persistent cloud dev environments from the PyTorch Lightning team: a workspace that keeps its filesystem while you swap hardware under it |
| AI | Gemini-powered code assistance and chat inside the notebook | Assistance features alongside a general-purpose development environment |
| Compute | Free tier offers a T4 when capacity allows, with sessions capped at 12 hours and idle timeouts; paid tiers spend compute units on premium GPUs up to A100 class | Attach and detach accelerators on a live workspace, from T4 and L4 up to L40S, A100 and H200 on interruptible capacity, billed by usage |
| File format | .ipynb, stored in Google Drive | Whatever you write: notebooks, scripts, packages |
| Collaboration | Google-Docs-style sharing and commenting on the notebook file | Shareable studios and templates |
| Cost | Free tier; paid tiers and pay-as-you-go compute units | Free tier with monthly credits; usage-based beyond it |
| License | Proprietary | Proprietary platform over an open-source framework |
The core difference
Colab's ephemerality is the whole design: a fresh runtime each session, packages reinstalled from the top cell, files that live in Drive or vanish. For a self-contained notebook that is fine, and the free GPU makes it the best on-ramp in the field.
Lightning Studios come from the PyTorch Lightning team and behave like a dev box that happens to be in the cloud. The workspace persists (your repo, your environment, your data) and you attach or detach GPUs as the work requires, so exploration on CPU and training on an accelerator happen in the same place without rebuilding anything.
The consequence is a different unit of work. Colab thinks in notebooks; Lightning thinks in projects, where a notebook sits next to scripts, configs, and training jobs. That fits engineers and fits learners less well.
Pick Google Colab if…
- You want free GPU access with nothing to set up.
- The work fits in one notebook and one session.
- You are learning, teaching, or sharing a reproducible example.
- You do not want a usage-based bill to monitor.
Pick Lightning AI Studios if…
- Your project spans days and must not lose state between sessions.
- You want to develop on CPU and train on GPU in the same workspace.
- The work is scripts and packages as much as notebooks.
- You want to pick hardware deliberately rather than take what you are given.
Where Clusy fits
That's usBoth still leave you responsible for the work itself. Clusy (ours) keeps the persistence (projects that survive, GPUs up to H100/H200) and adds an agent that plans and runs the experiment, with branching so variants can be compared side by side instead of copied into new notebooks.
Try Clusy freeFrequently asked questions
- Is Lightning AI free?
- There is a free tier with monthly credits, enough to evaluate it; sustained GPU use is billed by consumption. The pricing model is closer to a cloud provider than to a notebook subscription, so idle-time settings matter to the bill.
- Can I run Jupyter notebooks in Lightning Studios?
- Yes. a Studio is a full environment, so JupyterLab, VS Code, and plain scripts all run inside it. That flexibility is the point, and it is also why it feels less like a notebook product than Colab does.
- What actually breaks in Colab on long runs?
- Three things, usually: the runtime recycles mid-epoch, installed packages disappear on restart, and free GPU availability varies with demand. Aggressive checkpointing to Drive mitigates the first two; nothing mitigates the third except paying or moving.
Sources
Every claim about Google Colab and Lightning AI Studios on this page comes from their own documentation, last checked . Quotas, hardware tiers, and pricing move; check the vendor before relying on a number. Spotted something out of date? Tell us and we will fix it.