Lightning AI free credits get you 15 monthly Lightning credits (about 22 GPU hours/month on an NVIDIA T4) plus 10 GB Drive storage and 100 GB Studio storage. If you searched for “Lightning AI free credits” because you need real GPU time without a bill, this is one of the cleaner offers out there.
Startup engineers prototyping models, ML folks who want an IDE-first workflow, and students who need predictable monthly GPU time all fit this plan. You get a browser IDE, Jupyter support, and the option to SSH in from your local tools.
This guide covers eligibility, the exact signup steps, what the credits can be used for, the real limits (there are a few), and practical ways to stretch your monthly GPU hours.
Program at a Glance
| Provider | Lightning AI |
| Credit Amount | 15 credits/month (~22 T4 GPU hours) |
| Duration | Renews monthly; unused credits don’t roll over |
| Eligibility | Anyone who can verify account (email + phone). |
| Credit Card Required? | No (free plan sign-up needs none). |
| Difficulty | Moderate; phone verification + email quirks. |
| Best For | GPU notebooks, small fine-tunes, app demos |
| Official Page | Lightning AI Program Page |
What You Actually Get
The Lightning AI Free Plan gives you 15 monthly Lightning credits, with each credit worth about $1. Those credits can be spent on GPU-backed Studios using supported NVIDIA GPUs (T4, L4, A10G, and L40S), and you can also run CPU-only Studios (including a 32-core CPU Studio option) when you do not need a GPU. The core experience is a cloud “Studio” with a browser-based IDE that feels a lot like VS Code, plus Jupyter Notebook support if you prefer notebooks. You can also connect from a local IDE (VS Code or PyCharm) over SSH, which is useful if you dislike working in the browser.
In practical terms, the headline is the T4 math: about 22 hours per month at the free tier rate. That’s enough time for a handful of training runs on small models, repeated inference experiments, or building a demo app with a real GPU behind it. If you switch to CPU for data prep and debugging, you can keep most of those hours for the parts that actually need CUDA.
Who Qualifies (and Who Doesn’t)
Lightning AI positions the free plan as broadly available: you can sign up without a credit card and start using Studios from the browser. The “real” gating factor is verification, because credit unlocks and the initial bonus depend on it.
- You need a Lightning AI account created via email, Google, or GitHub sign-in.
- An official company or .edu email is recommended for instant verification, because personal emails may trigger extra steps.
- Phone number verification is required to unlock an initial bonus of 7 free GPU hours.
- No credit card is required for the free plan, which is refreshingly straightforward.
If you cannot (or will not) verify a phone number, expect a worse experience, including missing the 7-hour bonus. Also note that some users report delayed credit delivery; if your dashboard stays empty, you may have to contact Lightning AI support.
How to Sign Up
Registration usually takes about 10 minutes if you have the right email and your phone handy.
- Go to lightning.ai/sign-up.
- Create an account using email, Google, or GitHub.
- Use an official company or .edu email for instant verification (personal emails may require additional steps).
- Verify your phone number to unlock an initial bonus of 7 free GPU hours.
- Follow the onboarding steps to customize your Studio.
- Done. You will be placed in a sample project with a basic Python file ready to run.
After signup, credits should appear in your account and renew monthly; unused credits do not roll over. If your credits do not show up promptly (it happens), Lightning AI forum users recommend reaching out to Lightning AI support.
What the Credits Cover
Lightning credits are mainly about compute: you spend them as your Studio runs on a selected GPU type. You also get platform features that make the compute usable day-to-day, like persistent storage across restarts, templates, and app hosting for demos.
| Service / Feature | What It Does | Included? |
|---|---|---|
| GPU Studios (T4, L4, A10G, L40S) | Run training/inference on supported NVIDIA GPUs. | ✓ |
| Browser IDE + Jupyter | VS Code-like editor and notebook workflows in Studio. | ✓ |
| SSH from local IDE | Connect from VS Code/PyCharm on your machine. | ✓ |
| App hosting | Deploy/share apps built with Streamlit, Gradio, or React. | ✓ |
Notable exclusions matter more than people expect: the free plan is single-GPU only, and there is no access to A100/H100/H200 GPUs (those are Teams plan territory). You also only get community support (Discord), not priority support.
Limitations to Know About
Every free GPU plan has tradeoffs. Lightning’s are mostly about uptime, hardware tiering, and scaling.
- Your Studio runs on a 4-hour restart cycle, so it shuts down and restarts every 4 hours.
- Free plan Studios are limited to a single GPU, and multi-GPU needs Pro or higher.
- A100, H100, and H200 GPUs are not available on the free plan (Teams plan required).
- Studio storage is capped at 100 GB, and Drive storage has a 10 GB free limit.
- Support is community-only (Discord), so you will not get priority support.
When credits run out, you do not get extra “free” GPU time until the monthly renewal, and unused credits don’t roll over to the next month. The practical move is to switch your Studio to CPU when you’re not actively training or running GPU inference, then return to GPU when it’s worth spending credits.
Have Unused Lightning AI Credits?
Teams often end up with credits they cannot burn in time. Maybe you explored Lightning AI, moved the workload elsewhere, or just didn’t need as much GPU as you expected this month. If you have unused or soon-to-expire Lightning AI credits, AI Credit Mart lets you sell them instead of watching them go to waste, often recouping a solid chunk of the face value.
Need More Lightning AI Credits?
Once your free credits are gone, paying retail is not your only option. AI Credit Mart lists discounted Lightning AI credits from companies with surplus allocations, and deals commonly land about 30–70% below face value. It’s a simple way to keep a project running without committing to a bigger plan right away.
Tips for Getting the Most Out of Your Credits
- Use T4 GPUs when you can, because they stretch 15 credits to roughly 22 hours at about 0.68 credits/hour.
- Switch to CPU for coding, debugging, and data prep, since those phases usually don’t need a GPU at all.
- Do phone verification early, because it’s essential for the initial bonus of 7 free GPU hours.
- Plan for the 4-hour restart cycle by checkpointing long runs; the restart does not delete your files because Studio storage persists.
- Check the dashboard for quests, since users report you can earn bonus credits (sometimes up to a couple hundred) by completing tasks.
Frequently Asked Questions
You get 15 Lightning credits per month, and each credit is worth about $1. On a T4, that works out to roughly 22 GPU hours per month; on faster GPUs like an A10G or L40S, the same credits buy fewer hours because the hourly credit burn is higher.
No.
They renew monthly, and unused credits do not roll over.
Yes. If you have Lightning AI credits you won’t use before they expire, you can list them on AI Credit Mart and sell them at up to 70% of face value. Companies regularly list surplus credits from startup programs and enterprise agreements.
AI Credit Mart has discounted Lightning AI credits available from companies with surplus allocations. Prices are typically 30-70% below retail.
Unused credits don’t carry forward to the next month, so they effectively disappear at renewal. Your Studio storage is still persistent across restarts and sessions, but you won’t have more GPU time until the next month’s credits arrive or you move to a paid plan. If you’re mid-project, switch to CPU for everything you can, then schedule GPU runs in focused chunks. Honestly, it’s the difference between getting a demo shipped and staring at an “insufficient credits” screen. If you need continuous uptime, the free plan’s 4-hour restarts also push you toward checkpointing.
The GPU you pick changes your credit burn rate: a T4 is about 0.68 credits/hour (around 22 hours for 15 credits), while an A10G is about 1.80 credits/hour (around 8 hours). L4 is close to T4, and L40S is around 2 credits/hour (estimated), which means roughly 7–8 hours for the month.
Yes, if you want the initial bonus of 7 free GPU hours, phone verification is required.
15 credits a month is not infinite compute, but it’s enough to build something real if you’re smart about GPU time. Claim the free hours, use CPU when you can, and if you end up with surplus credits later, you’ve got a place to offload them.
Your AI credits are losing value every day
Join the marketplace and start trading unused credits today.