The Intel® Optimized Data Science Virtual Machine (DSVM) is an extension of the Ubuntu version of Microsoft's DSVM and comes with Python environments optimized for deep learning on Intel® Xeon® Processors. These environments include open source deep learning frameworks with Intel® MKL-DNN as a backend for optimal performance on Intel® Xeon Processors. These environments require no changes to existing code and accelerate deep learning training and inference. Additionally, this offering includes all software packages available on the base DSVM with several popular tools for data science and ML which are already pre-installed, configured and tested. For more info, see https://azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/. For additional information on Intel® Optimizations for deep learning frameworks, please see https://www.intel.ai/framework-optimizations/.
Recommended VM Sizes:
Note: This VM takes about 10 minutes to launch. At creation, a custom extension is triggered which builds and configures optimized environments for TensorFlow, MXNet and PyTorch. When the user activates an environment for the first time, that framework will be cloned and installed (this is a one-time installation).