Lightning AI
Verified Oct 16, 2026 ActiveBrowser Studios with on-demand GPUs (T4 to H200) for training, tuning and serving PyTorch models
Listed on EffectHub ·
Pricing
- Pricing model
- Freemium
- Paid options from
- $20/mo
- Billing
- Monthly
Free tier: 1 CPU Studio (4-hour restarts) and up to 30 credits, roughly 80 interruptible GPU hours. Pro $50/month or $20/month billed annually; Teams $140/user/month or $119 annually; Enterprise custom. GPU compute billed per second, e.g. T4 $0.42/GPU/hr, H100 $4.50/GPU/hr, with interruptible discounts.
Use tool ↗About Lightning AI
Lightning AI, from the team behind PyTorch Lightning, is a browser-based AI cloud: you code in hosted Studios, attach on-demand GPUs from T4s to H200s, and scale the same environment into multi-node training or inference endpoints. Billing is credit-based — a free tier includes one always-on CPU Studio and up to 30 starter credits, Pro runs $50/month (or $20/month billed annually) with 240 annual credits, and GPU time is metered per second from $0.42/GPU/hr for a T4. Teams and Enterprise tiers add full-node H100s, VPC deployment and SOC 2 controls for research labs and companies.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 16, 2026
Verified sources
- Free tier up to 30 credits (~80 interruptible GPU hours); Pro $50/mo or $20/mo annual; Teams $119-140/user/mo; T4 $0.42/GPU/hr, H200 $6.53/GPU/hrlightning.ai ↗
- AI cloud by the creators of PyTorch Lightning; on-demand H100s from $4.50/hr; SOC2/HIPAA; 450,000+ devs claimedlightning.ai ↗
Is Lightning AI legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Dec 16, 2017 (8 years ago)Registry record (RDAP), registrar GoDaddy.com, LLC, looked up Sep 11, 2026
- TLS certificate
- Issued by Google Trust Services, valid until Dec 29, 2026Seen in our own connection to the site on Oct 16, 2026
- Last checked
- Oct 16, 2026The site answered
- Operated by
- Lightning AI, United StatesOur research, card verified Aug 22, 2026
Pros & cons of Lightning AI
One of the smoother on-ramps to serious GPU compute: persistent Studio environments, per-second billing, and a free tier real enough to prototype on. The catch is the credit system — advertised plan prices are the floor, and actual spend is dominated by metered GPU hours on top.
Pros
- Free tier includes an always-available CPU Studio and starter GPU credits
- Per-second GPU billing with interruptible instances up to 80% cheaper
- Same environment moves from prototyping to multi-node training
- SOC 2, HIPAA and VPC options for enterprise deployments
Cons
- Credit arithmetic (credits vs GPU-hours vs plan quotas) takes effort to predict
- Phone number required at signup; free Studios restart every 4 hours
- Best experience assumes the PyTorch/Lightning ecosystem
Best for
- PyTorch developers who want a ready environment with attachable GPUs
- Research teams scaling from one notebook to multi-node training
- Enterprises wanting managed compute inside their own AWS/GCP commitments
Not for
- Pure API consumers who just need hosted model endpoints at lowest cost
- Non-Python or non-ML general cloud workloads
Watch out: The $20/month Pro price is annual billing — monthly billing is $50 — and plan credits expire after 12 months.