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The easiest and also the fastest way of running your Jupyter Notebook in the Cloud
Power Up Your Jupyter Notebook with GCP AI Platform
A new platform for you to manage and run all your Jupyter Notebooks in the cloud with the machine specification you need.
How do you run your Jupyter Notebook in the cloud?
Google Colab or other virtual machines provided by cloud computing services providers?
I believe you face the scenario before if you used the two type of services mentioned above.
- You run a huge model, and your Google Colab refreshed run time or stopped due to RAM full.
- You failed to configure the complicated VM instances.
- You succeed to configure the VM instances, wasted half of a day reinstalling the environment, and all the libraries and dependencies needed by your projects.
Well! You are safe from all the problems now!
This wonderful creation, GCP AI Platform Notebook is a Jupyter Notebook on Google Cloud Platform, with all the popular libraries and dependencies like pandas, scikit-learn and TensorFlow preinstalled. You can set up your Notebook in just 5 steps as shown below!
GCP AI Platform Notebook launch as Jupyter Lab, but you can change it to Jupyter Notebook in ONE CLICK as shown in the very last part of this article
If you prefer video instruction, click here.
You can watch the video or stay here go through the steps with me.
Glad your stay! 😄
Let’s start and waste no more time.
Step 1: Create an account in Google Cloud Platform
Your very first step is to create an account on Google Cloud Platform if you do not have one. (New users got a $300 free trial for 90 days 😆)
