Deep learning and AI frameworks for the Azure Data Science VM

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Deep learning frameworks on the DSVM are listed below.

CUDA, cuDNN, NVIDIA Driver

Category	Value
Version(s) supported	11
Supported DSVM editions	Windows Server 2019 Ubuntu 18.04
How is it configured / installed on the DSVM?	nvidia-smi is available on the system path.
How to run it	Open a command prompt (on Windows) or a terminal (on Linux), and then run nvidia-smi.

Horovod

Category	Value
Version(s) supported	0.21.3
Supported DSVM editions	Ubuntu 18.04
How is it configured / installed on the DSVM?	Horovod is installed in Python 3.5
How to run it	Activate the correct environment at the terminal, and then run Python.

NVidia System Management Interface (nvidia-smi)

Category	Value
Version(s) supported
Supported DSVM editions	Windows Server 2019 Ubuntu 18.04
What is it for?	NVIDIA tool for querying GPU activity
How is it configured / installed on the DSVM?	nvidia-smi is on the system path.
How to run it	On a virtual machine with GPU's, open a command prompt (on Windows) or a terminal (on Linux), and then run nvidia-smi.

PyTorch

Category	Value
Version(s) supported	1.9.0 (Ubuntu 18.04, Windows 2019)
Supported DSVM editions	Windows Server 2019 Ubuntu 18.04
How is it configured / installed on the DSVM?	Installed in Python, conda environments 'py38_default', 'py38_pytorch'
How to run it	Terminal: Activate the correct environment, and then run Python. * JupyterHub: Connect, and then open the PyTorch directory for samples.

TensorFlow

Category	Value
Version(s) supported	2.5
Supported DSVM editions	Windows Server 2019 Ubuntu 18.04
How is it configured / installed on the DSVM?	Installed in Python, conda environments 'py38_default', 'py38_tensorflow'
How to run it	Terminal: Activate the correct environment, and then run Python. * Jupyter: Connect to Jupyter or JupyterHub, and then open the TensorFlow directory for samples.