I've run a lot of machine learning/A.I. projects as toys, and even a few not very complex ones in production. Normally they run on the CPU, and in only one instance did I use a GPU ... the projects simply didn't require it. Sometimes, however, you come across something you need to try out, and it needs a STONKIN BIG MOTHA of a machine to really get its teeth stuck in. I had to do that recently and found the quickest way to get started was to spin up what I needed using the pre-configured Azure Deep Learning environment, then drop it when I was finished. No messing around with configuration/installs or other faffing about, just straight down to business. This article walks through the process that is actually rather pleasantly simple.
Setup
To get started, click on the 'Get it now' button and then 'continue' once you agree to the usual 'sign your life away' malarkey.
You will next be redirected to the Azure portal and asked to start environment creation.
Fill in the usual things like machine name, resources group, etc, and the next part of the fun is to pick the machine size and <cough> price!
Now, let there be no panic when you see these prices! :)
A lot of times we look at prices of tech as developers and gulp .... wow, expensive! .... well, it depends .... this is the cloud, and the promise of the cloud is you only pay for what you use. So, in my case, and I am sure yours, I only want to sin up the machine for perhaps 30 minutes, do my clever clogs Machine Learning on the GPU, and then delete the box ... gone, never to be heard of again.... so actually, even the more expensive box listed, will only cost me a few dollars to spin up, use, and spin down again.
After the usual few minutes of automation, the complete environment is up and ready to connect!
Using this prebuilt environment on an 'as needed' basis saves a ton of time, and, so long as you remember to delete it afterward, it is a very affordable way to build models fast. Please, oh please don't forget to delete those big expensive environments after use!!! ... you've been warned :)