Free Kaggle GPU & TPU Compute: 50 Hours Weekly Quota

Claim Offer
30 hours GPU + 20 hours TPU weekly
Quick Offers Links: 2 Active Deals

Kaggle gives you free weekly cloud compute to train machine learning models so you don't fry your own rig. You get two separate pools of hardware accelerators you can fire up straight from your browser.

Offer 1 Free Kaggle GPU Quota Active

You get 30 hours per week of NVIDIA TESLA P100/T4 GPUs. Perfect for TensorFlow, PyTorch, and other GPU-accelerated libraries.

Offer 2 Free Kaggle TPU Quota Active

You get 20 hours per week of Tensor Processing Units (TPUs). Built specifically for heavy deep learning, allowing up to 9-hour continuous sessions.

How to claim the deal:

  1. Create a free account at Kaggle.com.
  2. Verify your account with a phone number (this is mandatory to prevent bot abuse).
  3. Click Create - Notebook button from left side menu.
  4. Go to the settings menu on the right and change the "Accelerator" from None to GPU or TPU.
  5. Manually stop your interactive sessions when you are done coding so you don't burn your weekly hours on idle time limit.
Proofs and Screenshots

Key Benefits

  • Free access to NVIDIA P100/T4 GPUs
  • Free access to Google TPUs
  • Up to 9-hour continuous session times
  • Zero local hardware required
  • Pre-configured ML environments out of the box

Eligibility

Requirements
No Credit Card Required
Criteria
  • Must have a registered Kaggle account
  • Must verify the account with a valid phone number
  • Must comply with Kaggle's ToS (no server farming or bypassing idle timeouts)
  • Code must utilize GPU/TPU-accelerated libraries for the hardware to actually work
Terms & Conditions
This Kaggle deal page is community-supported, 100% verified, and maintained by Resourify. Your feedback helps us update offers quickly, supporting thousands of students, freelancers, and developers around the globe.

About Kaggle

Kaggle (owned by Google) is the internet's hub for data science and machine learning. Besides hosting massive datasets and coding competitions, they provide a free Jupyter notebook environment backed by Google's servers. It's the go-to place for developers to build, train, and test models without having to buy expensive local hardware.

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