Procedure

1. Sign in to your KAGGLE Account
Go to Kaggle → Sign in or Create your Kaggle account.
2. Create a new notebook
Click on the create (+) icon on the top-left corner of the page → Select “New Notebook” to open a new Kaggle Notebook Editor.
3. Enable Internet and GPU Access
Since by default, the GPU is disabled. To enable it follow the given steps: Click on the sessions option on the bottom-right corner
• →Verify your phone number (if already not verified).
• →Enter the verification code sent to your phone number.
• →Once verified, turn on the internet tab and enable GPU access.
4. Select GPU Accelerator
Click on the settings tab at the top of the notebook → Click on the Accelerator Option → Choose GPU-P100 from the given options.

Alternative Procedure

Accessing T4 GPU using Google colab.

1. Open Google Colab
Go to Google Colab → Sign in with your Google account → Create a new notebook or open an existing one.
2. Enable GPU Acceleration
In your Colab notebook, click on Runtime in the top menu → Select Change runtime type from the dropdown menu → A pop-up window will appear → Under Hardware accelerator → select GPU from the dropdown menu → Click Save.
3. Verify GPU Availability

import tensorflow as tf
# Check if GPU is available
if tf.test.gpu_device_name():
    print('GPU found:')
    !nvidia-smi
else:
    print('No GPU found. Check your settings.')

This will display information about the GPU (e.g., Tesla T4, K80, etc.) if it is available.