Free Kaggle GPU & TPU Compute: 50 Hours Weekly Quota

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30 hours GPU + 20 hours TPU weekly
Deal 1Active

Free Kaggle GPU and TPU Quota

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

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 this Deal

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

Key Benefits

5 items
  • 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

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
Proofs and Screenshots
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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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