The DLVM is a specially configured variant of the Data Science VM DSVM that is custom made to help users jump start deep learning on Azure GPU VMs. The DLVM uses the same underlying VM images of the DSVM and hence comes with the same set of data science tools and deep learning frameworks as the base VM.
DLVM VMs specifically a for GPU based deep learning workloads and improve the product discoverability as a premier deep learning VM environment on Azure.
Why I think this is perfect for education
Ease of Provisioning:
A specially built ARM template that helps user directly choose the GPU class VMs as we only allow provisioning of DLVM on NC Series machines. The template also allows user to choose between the Windows 2016 DSVM image and Ubuntu DSVM image during the provisioning of the VM.
New Tools and Frameworks
: On the underlying DSVM images, we now include Chainer 3.0 RC (both Windows, Ubuntu), Visual Object Tagging Tool (VOTT) on Windows, Keras (Windows) with TF, MS Cognitive Toolkit, Theano backend), Dlib, gensim, LightGBM.
Azure Machine Learning Support
: The DSVM/DLVM can be used as a dev/experimentation for Azure ML. It can be used to locally train models on GPUs. The Ubuntu DSVM can be used as a remote docker execution target.