As @dkobran and @gwenf mentionned above. Paperspace just have a super handy option for FastAI learner - Gradient.
I never used VM but I think Gradient have some advantages. You don’t need to wait for approving the type of machine now. You can choose any type of machine when you open a new notebook. Sometime you need to wait a little bit depends on the current capacity. For my case, it’s not too long (5 or 10 minutes)
You can save money by switching between different kind of machine. For me, I do all the configurations, data processing, …, all stuffs can do without a GPU on C2 machine and it’s 0.009$/hour. Then when I need to train model, I switch to GPU+ (P4000).
You are free of charge for storage. If you save your new data in /storage then it’s saved in the data region.
East Coast (NY2) - GPU+, P5000, C2, C7
GCP West - K80, P100, TPU
Means that if you save you data in C2 machine. You can find it again in a GPU+.
The limits are 1TB in East and 250GB in GCP West. So it’s huge in my current state.
You have a 10$ with the promo code for Fastai learner. FASTAIG5H7 Gradient_promocode
You can also accumulate your credit when sending a referral code for new user of Paperspace. So you will get 10$ and your friend 5$.
My referral code so we can both accumulate credit : XHMDK0X
Hope that helps.