Gcp

Photo Credit Motivation I was recently given a $300 credit to Google Cloud Platform from Google to participate in a Kaggle competition. This gives me free access to the powerful GPUs (T4, P100, even V100) to train models and thus opens the window to many new possibilities. However, the problem is that $300 can be used up rather quickly. For example, one Tesla P100 GPU cost $1.46 per hour, so $300 can only give me 200 hours or 8.5 days. Don’t forget there are still other costs from CPU, memory, and disk storage. ...

Photo Credit [The 2nd YouTube-8M Video Understanding Challenge](http://The 2nd YouTube-8M Video Understanding Challenge) has just finished. Google generously handed out $300 Google Cloud Platform(GCP) credits to the first 200 eligible people, and I was lucky enough to be one of them. I wouldn’t be able to participate in this challenge at a higher level otherwise. My local hardware can barely handle the size of the dataset and is not strong enough to handle the size of the model. The least I can do to return the favor is to write a short tutorial on how to set up deep-learning-ready VMs on GCP and about some tips that I’ve learned. ...