Lightning AI
Lightning AI is a PyTorch first AI development platform to build, train, and deploy models in a browser Studio with GPUs, collaboration, and controls.
About Lightning AI
Lightning AI is a PyTorch first AI development platform that provides a browser based Studio for developing and running machine learning workflows on cloud compute, including GPUs. It supports persistent projects and collaboration so developers and researchers can iterate on PyTorch code, run training jobs, and deploy AI applications from a shared workspace.
Key Features
- Browser based Studio for development workflows (code and notebooks)
- On-demand CPU and GPU options for experiments and training runs
- Persistent storage and project environments for repeatable work
- Team collaboration features for shared projects
- Support for multi GPU and multi node training (by plan)
- Connections to external data sources (for example, S3 buckets, by plan)
- Controls for managing spend and usage (by plan)
Pricing
-
Free — $0
- Pay-as-you-go usage model
- 15 monthly Lightning credits included
- 1 free active Studio with 4 hour restarts
- Single GPU access (examples listed: L40s, A100, H100, H200)
- Up to 2 concurrent GPUs
-
Pro — $20 per month (billed annually)
- 240 annual Lightning credits included
- 1 free active Studio that can run 24/7
- Multi GPU Studios (examples listed: T4, L4, L40S)
- Multi node training (up to 6 GPUs max)
- Persistent storage (200 GB limit)
-
Teams — $119 per user/month (billed annually)
- 600 annual Lightning credits included
- Full node GPU options (examples listed: A100, H100, H200s)
- Multi-node training (up to 12 GPUs max)
- Persistent storage (2 TB limit)
- Real time cost controls
-
Enterprise — Custom (request a quote)
- Full node B200s
- Priority GPU access (Lightning Cloud)
- Deploy in your own VPC
- Role based access controls
- SAML/SSO support
Pricing last updated: February 22, 2026 at 9:09 AM
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Last edited
February 22, 2026 at 9:09 AM by Admin
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