Dear helpful reader,
I am trying to setup fastai course on a rental GPU Deep Learning Server as per this suggestion / instruction in Lesson 1:
To do nearly everything in this book, you’ll need access to a computer with an NVIDIA GPU (unfortunately other brands of GPU are not fully supported by the main deep learning libraries). However, we don’t recommend you buy one; in fact, even if you already have one, we don’t suggest you use it just yet! Setting up a computer takes time and energy, and you want all your energy to focus on deep learning right now. Therefore, we instead suggest you rent access to a computer that already has everything you need preinstalled and ready to go. Costs can be as little as US$0.25 per hour while you’re using it, and some options are even free.
I have followed the instructions for:
Azure Data Science Virtual Machine Azure Data Science Virtual Machine | Practical Deep Learning for Coders (fast.ai)
but no joy…
I have figured out that the recommended VM NC-series have been retired as on 6 Sep 2023 (oops) and hence the script:
bash fastai2onAzureSpotDSVM.sh → no longer works.
I have tried following the instructions for Google Cloud Platform Google Cloud Platform | Practical Deep Learning for Coders (fast.ai) with no success either.
I have googled for solutions to no avail.
And searched youtube for video solutions to no avail.
I have searched this forum and reached the 'Azure" topic and clicked onto the pinned resources and followed the instructions therein, but no success yet…
- Is setting up fastai course jupyter notebook on a rental Full Linux Server a worthwhile educational activity?
- If 'Yes", would any kind soul walk me through setting up the fastai course jupyter notebook on either Google Cloud Platform or Azure Data Science Virtual Machine? Or please point me to a online resource on achieving this?