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How to install CUDA in Google Colab GPU’s

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to install CUDA in Google Colab GPU’s in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to install CUDA in Google Colab GPU’s?

  1. How to install CUDA in Google Colab GPU's?

    I pretty much believe that Google Colab has Cuda pre-installed… You can make sure by opening a new notebook and type !nvcc --version which would return the installed Cuda version.

  2. install CUDA in Google Colab GPU's

    I pretty much believe that Google Colab has Cuda pre-installed… You can make sure by opening a new notebook and type !nvcc --version which would return the installed Cuda version.

Method 1

Cuda is not showing on your notebook because you have not enabled GPU in Colab.

The Google Colab comes with both options GPU or without GPU. You can enable or disable GPU in runtime settings

Go to Menu > Runtime > Change runtime.

Change hardware acceleration to GPU.

GPU Settings Screenshot

To check if GPU is running or not, run the following command

!nvidia-smi

If the output is like the following image it means your GPU and cuda are working. You can see the CUDA version also.

After that to check if PyTorch is capable of using GPU, run the following code.

import torch
torch.cuda.is_available()
# Output would be True if Pytorch is using GPU otherwise it would be False.

To check if TensorFlow is capable of using GPU, run the following code.

import tensorflow as tf
tf.test.gpu_device_name()
# Standard output is '/device:GPU:0'

Method 2

I pretty much believe that Google Colab has Cuda pre-installed… You can make sure by opening a new notebook and type !nvcc --version which would return the installed Cuda version.

Here is mine: 

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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