Azure GPUs, Jupyter and Machine Learning
I’m a big advocate of the cloud and it’s ability to provide just enough resources ad hoc. You can use whatever you want, and pay for it just when using it. In machine learning there are services such as Google’s ML Engine or Azure’s upcoming Batch AI but during development, data preprocessing etc sometimes you want immediate iterative processes. In these cases, you can’t go past a Jupyter notebook and in this case, running that on a VM. In this post, I’ll outline how I’ve setup such an environment in Azure, focusing on ability to build it up and tear it down via the CLI and using a cheaper VM during development and an easy jumpt to then being able to run it on a GPU machine once things are running smoothly. ...