Lightning AI Free Plan - 22 GPU Hours/Month
Source: https://lightning.ai/pricing
Description
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+ 1 Lightning AI offers a free cloud-based AI development platform with access to modern NVIDIA GPUs (T4, L4, A10G, L40S). Free users receive 15 monthly Lightning credits (each credit is worth approximately $1), which translates to roughly 22 hours of T4 GPU time per month. The platform provides a browser-based IDE similar to VS Code, with no local setup required. No credit card is needed to sign up.
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+ 7 1. Go to lightning.ai/sign-up
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+ 8 2. Create an account using email, Google, or GitHub
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+ 9 3. Use an official company or .edu email for instant verification — personal emails may require additional steps
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+ 10 4. Verify your phone number to unlock an initial bonus of 7 free GPU hours
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+ 11 5. Follow the onboarding steps to customize your Studio
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+ 12 6. Done — you will be placed in a sample project with a basic Python file ready to run
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+ 13
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+ 14 Important:
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+ 15 • No credit card required for the free plan
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+ 16 • Some users on Lightning AI forums have reported delays in receiving free credits — if this happens, contact Lightning AI support
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+ 17 • Credits renew monthly; unused credits do not roll over
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+ 23 Lightning credits are consumed based on the GPU type you select. Each credit is worth approximately $1. Here are the approximate consumption rates:
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+ 25 GPUVRAMCredits/HourHours per 15 Credits
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+ 26 T416 GB~0.68~22 hours
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+ 27 L424 GB~0.70~21.4 hours
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+ 28 A10G24 GB~1.80~8.3 hours
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+ 29 L40S48 GB~2.00 (est.)~7.5 hours (est.)
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+ 31 Free plan users are limited to single-GPU Studios only. Multi-GPU configurations require the Pro plan or higher.
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+ 33 To maximize your free credits, use the T4 or L4 GPUs for training and inference tasks. Reserve the A10G or L40S for workloads that truly need more VRAM or compute.
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+ 40 • 1 free active Studio with 4-hour automatic restarts (the Studio shuts down and restarts every 4 hours; your data persists)
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+ 41 • Browser-based IDE (VS Code-like interface) or connect your local IDE (VS Code, PyCharm) via SSH
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+ 42 • Jupyter Notebook support — switch between VS Code and Jupyter interfaces
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+ 43 • 32-core CPU Studios available for CPU-only workloads
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+ 44 • Unlimited background execution — jobs keep running even when the browser is closed
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+ 45 • Pre-configured ML environments — PyTorch, TensorFlow, and common ML libraries are pre-installed
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+ 46 • Multiplayer collaboration — invite others to code together in real-time
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+ 47 • SDK automation — programmatically manage Studios via the Lightning SDK
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+ 48 • Community Templates — start from pre-built Studios for common tasks (fine-tuning, training, deployment)
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+ 49 • App hosting — deploy and share AI apps built with Streamlit, Gradio, or React
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+ 50
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+ 52 • 4-hour restart cycle — your Studio automatically restarts every 4 hours (Pro plan gets 24/7 uptime)
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+ 53 • Single GPU only — no multi-GPU training
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+ 54 • No A100, H100, or H200 GPUs — these require the Teams plan ($140/user/month)
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+ 55 • 100 GB storage limit on Studios
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+ 56 • Community support only (Discord) — no priority support
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+ 62 Storage TypeFree LimitNotes
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+ 63 Studio storage100 GBPersistent across restarts; files survive the 4-hour restart cycle
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+ 64 Drive storage10 GBShared file storage; upload/download files; connect S3 buckets
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+ 66 Studio storage persists between sessions, so you will not lose your work when the 4-hour restart occurs. Files, models, and datasets remain intact.
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+ 72 Lightning AI offers a quests system where users can complete tasks to earn bonus credits — reportedly up to 240 additional credits. Quests typically involve exploring platform features. Check the Lightning AI dashboard for available quests after signing up.
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+ 78 FeatureFreePro ($50/mo annual)Teams ($140/user/mo annual)
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+ 79 Monthly credits154050
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+ 80 Studio uptime4-hour restarts24/724/7
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+ 81 GPU typesT4, L4, A10G, L40S (single)T4, L4, A10G, L40S (multi)• A100, H100, H200
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+ 82 Storage100 GB2 TBUnlimited
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+ 83 Spot instancesNoNoYes (~80% savings)
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+ 84 Multi-node trainingNoNoUp to 4 machines
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+ 90 • Use T4 GPUs to stretch your credits — at ~0.68 credits/hour, you get the most compute time from your 15 free credits
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+ 91 • Switch to CPU when not training — coding, debugging, and data prep do not need a GPU. Use the free 4-CPU Studio for these tasks to save credits
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+ 92 • Phone verification is essential — without it, you may not receive your initial 7 bonus GPU hours
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+ 93 • The 4-hour restart does not delete your files — storage is persistent, so you can safely leave long-running jobs with checkpointing
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+ 94 • Use community templates — pre-built Studios save setup time and let you jump straight into fine-tuning or training
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+ 95 • Lightning AI CI/CD runners — you can use Lightning AI as free GPU runners for CI/CD pipelines (e.g., for automated ML testing)
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+ 96 • Compare with Google Colab — Lightning AI offers a more IDE-like experience with persistent storage and better GPU options compared to Colab's free tier, though Colab does not require phone verification
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+ 100 Sources:
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+ 101 • Lightning AI Pricing
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+ 102 • Lightning AI Billing FAQ
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+ 103 • Lightning AI Consumption Rates
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+ 104 • Lightning AI Billing Documentation
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+ 105 • Lightning AI Sign Up
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+ 106 • KDnuggets: Using Lightning AI Studio For Free
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+ 107 • GMI Cloud: Free GPU Cloud Trials Guide
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