Freemium
Leading digital analytics platform for product insights and customer journey analytics
analyticsproduct analyticscustomer insights
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Pricing
Freemium
Use cases
Machine learning engineers building and training models using integrated AI Studio workspaces and notebooks (verified: 2026-01-29), Data scientists deploying custom model APIs and web applications through a unified inference platform (verified: 2026-01-29), Enterprise teams managing multi-node training clusters and experiment registries for large-scale AI development (verified: 2026-01-29)
Strengths
The platform provides a free tier that includes 15 monthly credits equivalent to approximately 80 free GPU hours (verified: 2026-01-29), Users can access a diverse GPU marketplace featuring hardware options such as T4, L4, A100, and H100 (verified: 2026-01-29), Enterprise users can integrate their own cloud infrastructure from AWS or GCP while maintaining SOC2 and HIPAA compliance (verified: 2026-01-29)
Limitations
Free Studios require a manual restart every four hours to maintain continuous 24/7 operation (verified: 2026-01-29), Advanced security features like HIPAA compliance and 24/7 support are restricted to enterprise-level tiers (verified: 2026-01-29)
Last verified
Jan 29, 2026
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Strengths
- The platform provides a free tier that includes 15 monthly credits equivalent to approximately 80 free GPU hours (verified: 2026-01-29)
- Users can access a diverse GPU marketplace featuring hardware options such as T4, L4, A100, and H100 (verified: 2026-01-29)
- Enterprise users can integrate their own cloud infrastructure from AWS or GCP while maintaining SOC2 and HIPAA compliance (verified: 2026-01-29)
Limitations
- Free Studios require a manual restart every four hours to maintain continuous 24/7 operation (verified: 2026-01-29)
- Advanced security features like HIPAA compliance and 24/7 support are restricted to enterprise-level tiers (verified: 2026-01-29)
FAQ
What are the limitations for users operating on the free tier of Lightning AI?
Free tier users receive 15 monthly credits which provide up to 80 GPU hours depending on the hardware selected. While Studios can run 24/7, they require a manual restart every four hours unless the user upgrades to a Pro or higher plan (verified: 2026-01-29).
Which GPU hardware options are available for training and inference on the platform?
Lightning AI offers a variety of GPU instances including NVIDIA T4, L4, L40S, A100 (40GB and 80GB), H100, and H200. Pricing is billed by the second and varies based on the specific hardware and VRAM requirements (verified: 2026-01-29).
Does Lightning AI support deployment on third-party cloud infrastructure providers?
Yes, the platform allows enterprise customers to bring their own cloud. This enables teams to use their existing AWS or GCP credits while utilizing the Lightning AI interface for model development and deployment (verified: 2026-01-29).
