Lightning AI
AI cloud for PyTorch teams to build, train, and deploy specialized models.
At a glance
Price not confirmed · Source review 2026-11-04- Price & billing
No charge fact is recorded. The pricing page offers up to 80 free GPU hours to start on interruptible machines, then pay-as-you-go, with free studios requiring restart every 4 hours; those starter hours are a starting credit, not a recurring free tier, and per-hour rates vary by machine.
- Free allowance
The pricing page offers up to 80 free GPU hours to start on interruptible machines, then pay-as-you-go, with free studios requiring restart every 4 hours; those starter hours are a starting credit, not a recurring free tier, and per-hour rates vary by machine.
- Best suited to
PyTorch developers and AI teams that want to own specialized models instead of renting general-purpose AI.; Teams that need guaranteed on-demand H200, B200, H100, and A100 capacity with clusters and self-serve setup in minutes.; Teams that want the full lifecycle in one place: datasets, prototyping, optimization, comparison, pre-training, post-training, evaluation, and inference.
Fit is editorial guidance, not a measured result.- Platforms
Access: not separately verified. Operating systems not separately verified.
Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.
No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.
What to know before choosing
Good fit
PyTorch developers and AI teams that want to own specialized models instead of renting general-purpose AI.; Teams that need guaranteed on-demand H200, B200, H100, and A100 capacity with clusters and self-serve setup in minutes.; Teams that want the full lifecycle in one place: datasets, prototyping, optimization, comparison, pre-training, post-training, evaluation, and inference.
Limits and trade-offs
Users who expect free use beyond the starter hours: the offer is up to 80 free GPU hours to start, then pay-as-you-go.; Teams not on the PyTorch stack, since Lightning is framed as the AI cloud PyTorch developers love, from the creators of PyTorch Lightning.; Users who need always-on free studios without interruption: free studios run 24/7 but require restart every 4 hours, per the pricing footnote.
Plans and free allowances
No charge fact is recorded. The pricing page offers up to 80 free GPU hours to start on interruptible machines, then pay-as-you-go, with free studios requiring restart every 4 hours; those starter hours are a starting credit, not a recurring free tier, and per-hour rates vary by machine.
Evidence
Official homepage ↗ (reviewed 2026-11-04), Official pricing page ↗ (reviewed 2026-11-04)
Official published documentation reviewed; not a product test
Dates: Last reviewed 2026-11-04. Last reviewed is the latest source or editorial review date; it is not a content-change date.
A closer look at Lightning AI
Lightning AI is the AI cloud from the creators of PyTorch Lightning: guaranteed on-demand GPUs, clusters, AI coding agents, and enterprise infrastructure to build, train, and deploy specialized models, with a workflow from datasets and prototyping through optimization, comparison, pre-training, post-training, evaluation, and inference on 40,000 GPUs.
Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.
When to choose Lightning AI
- PyTorch developers and AI teams that want to own specialized models instead of renting general-purpose AI.
- Teams that need guaranteed on-demand H200, B200, H100, and A100 capacity with clusters and self-serve setup in minutes.
- Teams that want the full lifecycle in one place: datasets, prototyping, optimization, comparison, pre-training, post-training, evaluation, and inference.
When to choose something else
- Users who expect free use beyond the starter hours: the offer is up to 80 free GPU hours to start, then pay-as-you-go.
- Teams not on the PyTorch stack, since Lightning is framed as the AI cloud PyTorch developers love, from the creators of PyTorch Lightning.
- Users who need always-on free studios without interruption: free studios run 24/7 but require restart every 4 hours, per the pricing footnote.
A practical starting workflow
- Collect, clean, and organize datasets, then prototype and refine models interactively on on-demand GPUs with SSH.
- Run hundreds of experiments in parallel, compare training runs, and pre-train or post-train on large GPU clusters.
- Evaluate accuracy, safety, and reliability, then run inference at scale on Lightning infrastructure.
Check before committing
- GPU availability counts on the homepage are live inventory snapshots, not standing guarantees for every machine at every moment.
- Starter-hour figures are for interruptible machines; uninterrupted and larger machines are priced separately on the pricing page.
Common questions
What do you mean by running 24/7?
The pricing FAQ addresses 24/7 running, noting free studios run 24/7 but require restart every 4 hours, with no restrictions in Pro or higher.
Do you offer a trial?
The pricing FAQ frames the trial as up to 30 free credits, about 80 GPU hours on interruptible machines, with prices varying.
How do the free credits work?
Free credits start the user on the free tier with interruptible GPU hours; running more at the same time requires using free credits or buying more credits.
What can teams build on Lightning?
Specialized models across the lifecycle, from datasets and prototyping to pre-training, post-training, evaluation, and inference at scale.
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Sources and checks
Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.