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Intel Optimized Data Science VM for Linux (Ubuntu)

Intel Software
A pre-configured Data Science Virtual Machine with CPU-optimized TensorFlow, MXNet and PyTorch

Intel Optimized Data Science VM for Linux (Ubuntu)

Intel Software

A pre-configured Data Science Virtual Machine with CPU-optimized TensorFlow, MXNet and PyTorch

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:

  • Compute Optimized: Fsv2-series (F4sv2, F8sv2, F16sv2, F32sv2, F64sv2, F72sv2)
  • High Performance Compute: Hc-series

Usage:

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).

By continuing to create and use this extension, you are agreeing to Microsoft's Data Science Virtual Machine terms of use and Intel Terms of Use.