The 'Data Science Virtual Machine (DSVM)' is a 'Windows Server 2019 with Containers' VM that has several popular tools for data exploration, analysis, modeling & development pre installed.

Highlights:

Operating System, Drivers and other base components

"Windows Server 2019 with Containers" image from Azure Marketplace
Nvidia drivers, CUDA Toolkit, cuDNN (when GPU machines are used)
Windows Subsystem for Linux (version 1)
Docker (Windows docker images only)
Anaconda ("conda")
Git

Authoring Tools

Visual Studio Code
Visual Studio 2019 Community Edition
PyCharm Community Edition
Jupyter, Jupyter Lab
Power BI Desktop
Weka

ML Framework

PyTorch, TensorFlow, scikit-learn
pyspark
Vowpal Wabbit

Other Notable Components

Azure CLI
Azure ML SDK for Python
Azure Storage Explorer
SQL Server 2019 Developer Edition
Microsoft 365 BYOL (Word, Excel, PowerPoint, Teams)

Users can access the DSVM via Remote Desktop or SSH. Optionally, the VM can be placed in a corporate network.

Users have full access to the DSVM. If needed, configurations can be adjusted, and additional frameworks can be installed like with any other virtual machine. The image provided here is a static VM image. Maintenance and protection against vulnerabilities of provisioned DSVMs is in the customer's responsibility. We recommend enabling "automatically download and install updates" in the Advanced options as this is not done by default.

There is also a DSVM on Ubuntu.

Note: Windows 2019 Gen 2 SKUs are currently not supported.

For more details, see the Data Science Virtual Machine documentation.

Data Science Virtual Machine - Windows 2019Microsoft5.0(1 ratings)

Data Science Virtual Machine - Windows 2019

Microsoft

Data Science Virtual Machine - Windows 2019

Microsoft

Data Science Virtual Machine - Windows 2019
Microsoft
5.0(1 ratings)