6 Free Cloud GPUs: Models, Limits, Access Requirements
Free cloud GPUs are available through Python notebooks, AI demos and compute credits. Compare hardware, allowances and access requirements, or check which services suit a workload.
Two T4s provide two separate 16 GB memory allocations. Running a model across both requires software that distributes the workload. The combined capacity does not make either GPU a 32 GB device.
Free GPU notebooks
1. Google Colab
Google Colab runs Python notebooks in a browser and stores notebook files in Google Drive. Free sessions can last up to 12 hours, with earlier disconnections for inactivity or usage limits. Google assigns the GPU and adjusts access according to demand and account usage.1
Colab supports interactive notebook work, including running cells and inspecting outputs. Its free service restricts SSH access and workloads operated mainly through another web interface. Files in the runtime disappear when it is deleted, so training checkpoints need persistent storage such as Drive. The runtime is private to the account, while notebook sharing follows Google Drive permissions.
2. Kaggle
Kaggle offers two T4 GPUs with 16 GB of memory each. Its staff announcement retired the P100 option on September 15, 2026. Notebook documentation lists a 12-hour GPU session limit and 20 GB of saved working-directory storage. The weekly allowance is typically 30 GPU hours; the account display gives the applicable quota.234
The two-T4 option runs code across separate GPUs. A model that needs more than 16 GB on one device requires software that distributes it across both. Kaggle keeps notebook and dataset sharing settings separate, allowing private experiments alongside access to public datasets.
Phone verification enables accelerator access. Busy periods can put notebook sessions in a queue.5
3. Paperspace Gradient
Paperspace includes an 8 GB M4000 GPU and 5 GB of storage with its Free Gradient plan. The more powerful machines listed as free require a Pro or Growth subscription.6
Free GPU notebooks are public. Pro or Growth is required to make them private. Free sessions shut down after at most six hours.7
Notebooks can start from a supplied template or a custom Docker image with the required libraries. A session waits in a queue when free machines are occupied. The free-plan documentation reviewed does not state whether signup requires a payment card.8
Free GPU demos
4. Hugging Face ZeroGPU
ZeroGPU supplies an RTX Pro 6000 Blackwell to apps built with Gradio, a Python library for model interfaces. The GPU is allocated when a function runs and released afterward. The default allocation provides 48 GB of memory, while the 96 GB option consumes quota twice as fast.9
A free signed-in account gets five minutes of daily GPU quota, resetting 24 hours after first use. Each function call defaults to 60 seconds, which the app developer can change. This makes ZeroGPU useful for trying models through short inference calls.
Anyone can use an existing demo. Hosting up to two ZeroGPU Spaces on a free personal account requires a verified email, an account older than 30 days and good standing. Organization accounts need an eligible paid plan to host ZeroGPU. Public Spaces expose their source code, while private Spaces restrict access to the owner and collaborators.10
GPU credits
5. Lightning AI
Lightning Studios combine notebooks, a terminal and development tools in a persistent cloud workspace. A Studio can connect to a local IDE or be accessed through SSH. Signup requires no credit card, and phone verification enables free GPU credits.11
Lightning’s Studio guide lists five initial free credits, with 25 more after adding a payment card. One credit equals $1 of platform usage. The billing terms describe free credits as promotional and non-accumulating.121314
The GPU menu includes T4, L4, A100 and H200. Credits pay for metered compute and storage above the free allowance. When credits run low, Lightning warns users and attempts to shut down workloads and Studios; additional credits can be purchased. Teamspace members can access shared files, and publishing a Studio makes its contents available to others.151617
6. Modal
Modal includes $30 of monthly compute credits on its Starter plan. It supports Python functions and container workloads, with GPU options from T4 through B300. CPU and memory usage also count toward compute costs.18
A payment method is required. Usage beyond the credits can incur charges. The workspace spend limit controls charges after credits, while the usage budget applies before credits are deducted.1920
Modal has shut down its built-in notebook editor. A Jupyter server can still be deployed inside a Modal container, with access controls and persistent storage configured by the user. Python function timeouts can be configured up to 24 hours per attempt.212223
Paid GPU prices after the free allowance
Paid GPU rentals offer a choice of hardware and session lengths when a job exceeds free limits. These listings give a starting point for comparing the cost of a specific GPU.
Prices are the lowest available single-GPU, on-demand USD listings matched by model and memory in the November 5, 2026 catalog capture, rounded to cents. Regions and CPU/RAM bundles differ. Storage, networking and other charges may add to the bill.
These are separate rental services. Lightning and Modal credits pay for usage on their own platforms. The cloud GPU pricing comparison covers more configurations, and the provider comparison describes the services behind the listings.
FAQs
Colab, Kaggle and Paperspace provide notebooks for user code, subject to hardware and runtime limits. Lightning uses metered Studio compute. Modal supports Python jobs and custom Jupyter deployments after closing its hosted notebook editor. ZeroGPU allocates compute to calls inside Gradio apps.
Kaggle’s weekly quota resets according to the account display. Colab does not publish a fixed reset schedule. ZeroGPU resets its daily quota 24 hours after first use. Paperspace ends free sessions within six hours, with new starts subject to capacity.
Lightning warns users when credits run low and attempts to shut down workloads. Additional credits can be purchased; a fixed monthly free top-up is not promised. Modal can charge beyond its monthly credits, subject to workspace limits. A session ceiling does not guarantee another session will be available.
None of the documented offers establishes unlimited, guaranteed GPU availability. A restartable notebook can still face session limits and capacity queues. Credits can run out, and an unpublished quota is not an unlimited quota.
Trial credits expire under program-specific terms. Startup and research grants require separate eligibility checks and may involve an application. A general cloud credit offer needs an explicit GPU-eligibility check before it can be counted as GPU access. Free inference APIs expose hosted models and do not provide a general GPU environment for arbitrary code.
Add as preferred sourceFurther reading
- Cloud GPU Pricing, Performance & Provider Comparison
- Cloud GPU Providers
- Cloud GPU Rental Price Index
- Multi-GPU Benchmark: B200 vs H200 vs H100 vs MI300X
Cite this research
Pick the format that matches where you're publishing. Pasting the link version into your CMS preserves the backlink.
@misc{sari2026,
author = {Sarı, Ekrem},
title = {{6 Free Cloud GPUs: Models, Limits, Access Requirements}},
year = {2026},
month = sep,
howpublished = {\url{https://aimultiple.com/free-cloud-gpu}},
note = {AIMultiple. Retrieved September 16, 2026}
}Changelog
2 updatesAdded GPU memory and usage-limit comparison tables across free cloud platforms.
Added Lightning AI to the list of free cloud GPU providers.
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