https://gallery.windowsazure.cn/artifact/20161101/Microsoft.DataScienceVirtualMachineLinuxUbuntu-ARM.1.0.3/Icons/Large.png

Data Science Virtual Machine - Linux (Ubuntu)

Microsoft
Exploration, analysis, modelling, and development tools for data science and artificial intelligence.

Data Science Virtual Machine - Linux (Ubuntu)

Microsoft

Exploration, analysis, modelling, and development tools for data science and artificial intelligence.

The Data Science Virtual Machine for Linux is an Ubuntu-based virtual machine image that makes it easy to get started with deep learning on Azure. CNTK, TensorFlow, MXNet, Caffe, Caffe2, DIGITS, H2O, Keras, Theano, and Torch are built, installed, and configured so they are ready to run immediately. The NVIDIA driver, CUDA, and cuDNN are also included. All frameworks are the GPU versions but work on the CPU as well. Many sample Jupyter notebooks are included.

The Data Science Virtual Machine for Linux also contains popular tools for data science and development activities, including:

  • Microsoft ML Server Dev Edition - Scalable R, Python
  • Anaconda Python 2.7 and 3.5
  • JupyterHub with sample notebooks
  • Apache Drill for querying non-relational data using SQL
  • Apache Spark 2.x Standalone with PySpark and SparkR Jupyter kernels
  • Single node local Hadoop (HDFS, Yarn)
  • Azure command-line interface
  • Visual Studio Code, IntelliJ IDEA, PyCharm, and Atom
  • JuliaPro, a curated distribution of Julia Language and tools
  • Vowpal Wabbit for online learning
  • xgboost for gradient boosting

You can view a full list of installed tools for the Linux edition here.

Pre-configured and tested with Nvidia drivers, CUDA Toolkit, & NVIDIA cuDNN library for GPU workloads available if using NC class VM SKUs.

Queries & feedback: DSVM community support forum

Legal Terms

By clicking the Create button, I acknowledge that I am getting this software from Microsoft and that the legal terms of Microsoft apply to it. Microsoft does not provide rights for third-party software. Also see the privacy statement from Microsoft.