I have just created a post on setting up fastai on Azure. I hope this will be helpful for people facing issues with Azure and people who already have visual studio subscription. The process is relatively simple now with recent Azure Deep Learning Virtual Machine offering.
I’ve already done this. See my original comment point 1. Just tried it again, still no luck. In the case of your screenshot it’d be 52.234.128:8888 into the address bar of Chrome.
I wonder if you can help with any of these issues?
I have followed your medium post through to the place where you test Jupyter Notebooks (i.e. to “Copy the URL+Token from the command line and enter in your local browser to view the jupyter notebooks”).
But when I do this I end up viewing the currently running notebooks on my own PC, not those on the server. Do you know a solution for that?
Also, I thought I should test that torch was working so I ssh onto the server and after source activating fastai I started ipython and typed import torch. It crashed with an error:
Thanks Manikanta - great article. I found that the root drive filled when creating the fastai environment in the Deep Learning image - as Anaconda was there and 45 out of 50GB used. The fix was to shut the image down (via Azure Portal so it was deallocated) then increase the OS drive (I chose 128GB) then on restart the Ubuntu used the 128GB and I could create the environment. Also used x2go client and that worked well - made running the notebooks easy as I was already remoted to the VM.
Hi Manikanta, I read your article on Medium. Very informative. Thanks. However I was looking for a free tier on Azure and I did not find it. It is right?
I got some free credits but could not find the equivalent of amazon AWS AMIs where you have a free tier, not just free credits for a month and being billed after that as in the case of azure… anybody got a tip? Otherwise AWS for testing and playing around for beginners might be a better option…