Azure Data Science Virtual Machine release notes
In this article, learn about Azure Data Science Virtual Machine releases. For a full list of tools included, along with version numbers, check out this page.
Due to the rapidly evolving needs and packages updates, we target to release new Azure Data Science Virtual Machine for Windows and Ubuntu images every month.
Azure portal users will always find the latest image available for provisioning the Data Science Virtual Machine. For CLI or Azure Resource Manager (ARM) users, we keep images of individual versions available for 12 months. After that period, particular version of image is no longer available for provisioning.
See the list of known issues to learn about known bugs and workarounds.
April 26, 2023
Data Science VM – Ubuntu 20.04
Version 23.04.24
Main changes:
- SDK
1.50.0
- Dotnet upgraded to
6.0
SDK - PyTorch GPU functionality fixed in `azureml_py38_PT_and_TF environment.
- Blobfuse upgraded to blobfuse2
April 4, 2023
Data Science Virtual Machine - Windows 2019
Version: 23.03.31
Main changes:
- SDK
1.49
- Cuda drivers upgraded to
11.4
- PyTorch GPU functionality fixed on
azureml_py38
andazureml_py28_PT_and_TF
environments Dotnet
upgraded to6.0
January 10, 2023
Data Science VM – Ubuntu 20.04
Version: 23.01.06
Main changes:
- Added R package "ranger"
- Pinned
pandas==1.1.5
andnumpy==1.23.0
inazureml_py38
environment
November 30, 2022
Data Science VM – Ubuntu 20.04
Version: 22.11.25
Main changes:
Azure Machine Learning SDK V2
samples includedRay
to version2.0.0
- Added
clock
,recipes
R
packages azureml-core
to version1.47.0
azure-ai-ml
to version1.1.1
Data Science Virtual Machine - Windows 2019
Version: 22.11.27
Main changes:
Azure Machine Learning SDK V2
samples includedRScirpt
environment path alignmentRay
version2.0.0
package added toazureml_py38
andazureml_py38_PT_TF
environments.azureml-core
to version1.47.0
azure-ai-ml
to version1.1.1
September 20, 2022
Announcement: Starting October 1, 2022, Ubuntu 18 DSVM will not be available on the marketplace. We recommend users switch to Ubuntu 20 DSVM as we continue to ship updates/patches on our latest Data Science VM – Ubuntu 20.04
Users that are using Azure Resource Manager (ARM) template/virtual machine scale set to deploy the Ubuntu DSVM machines, should configure:
Offer | SKU |
---|---|
ubuntu-2004 | 2004 for Gen1 or 2004-gen2 for Gen2 VM sizes |
Instead of:
Offer | SKU |
---|---|
ubuntu-1804 | 1804 for Gen1 or 1804-gen2 for Gen2 VM sizes |
Note: There is no impact to existing customers who are still on Ubuntu-18 DSVM as of our October 2022 update. However, the deprecation plan is scheduled for December 2022. We recommend that you switch to Ubuntu-20 DSVM at your earliest convenience.
September 19, 2022
Data Science VM – Ubuntu 20.04
Version 22.09.19
Main changes:
.NET Framework
to version3.1.423
Azure Cli
to version2.40.0
Intelijidea
to version2022.2.2
- Microsoft Edge Browser to version
107.0.1379.1
Nodejs
to versionv16.17.0
Pycharm
to version2022.2.1
Environment Specific Updates:
azureml_py38
:
azureml-core
to version1.45.0
py38_default
:
Jupyter Lab
to version3.4.7
azure-core
to version1.25.1
keras
to version2.10.0
tensorflow-gpu
to version2.10.0
September 12, 2022
Data Science Virtual Machine - Windows 2019
Version 22.09.06
Main changes:
- Base OS level image updates.
August 16, 2022
Data Science VM – Ubuntu 20.04
Version 22.08.11
Main changes:
- Jupyterlab upgraded to version
3.4.5
matplotlib
,azureml-mlflow
added tosdkv2
environment.- Jupyterhub spawner reconfigured to root environment.
July 28, 2022
Data Science VM – Ubuntu 20.04
Version 22.07.19
Main changes:
- Updated
Azure Cli
to version2.38.0
- Updated
Nodejs
to versionv16.16.0
- Updated
Scala
to version2.12.15
- Updated
Spark
to version3.2.2
MMLSpark
notebook featuresv0.10.0
- 4 additional R libraries: janitor, skimr, palmerpenguins and doParallel
- Added new Azure Machine Learning Environment
azureml_310_sdkv2
Data Science Virtual Machine - Windows 2019
Version 22.07.18
Main Changes:
- General OS level updates.
July 11, 2022
Data Science VM – Ubuntu 18.04 and Data Science VM – Ubuntu 20.04
Version 22.07.08
Main changes:
- Minor bug fixes.
June 28, 2022
Data Science Virtual Machine - Windows 2019 and Data Science VM – Ubuntu 20.04
Version 22.06.10
Data Science VM – Ubuntu 18.04
Version 22.06.13
Main changes:
- Remove
Rstudio
software tool from DSVM images.
May 17, 2022
Data Science VM – Ubuntu 20.04
Version 22.05.11
Main changes:
- Upgraded
log4j(v2)
to version2.17.2
April 29, 2022
Data Science VM – Ubuntu 18.04 and Data Science VM – Ubuntu 20.04
Version 22.04.27
Main changes:
Plotly
andsummarytools
R studio extensions runtime import fix.Cudatoolkit
andCUDNN
upgraded to13.1
and2.8.1
respectively.- Fix
Python 3.8
- Azure Machine Learning notebook run, pinnedmatplotlib
to3.2.1
andcycler
to0.11.0
packages inAzureml_py38
environment.
April 26, 2022
Data Science Virtual Machine - Windows 2019
Version: 22.04.21
Main changes:
Plotly
R studio extension patch.- Update
Rscript
env path to support latest R studio version4.1.3
.
April 14, 2022
New DSVM offering for Data Science VM – Ubuntu 20.04 is currently live in the marketplace.
Version: 22.04.05
April 04, 2022
New Image for Data Science VM – Ubuntu 18.04
Version: 22.04.01
Main changes:
- Updated R environment - added libraries:
Cluster
,Devtools Factoextra
,GlueHere
,Ottr
,Paletteer
,Patchwork
,Plotly
,Rmd2jupyter
,Scales
,Statip
,Summarytools
,Tidyverse
,Tidymodels
andTestthat
- Further
Log4j
vulnerability mitigation - although not used, we moved alllog4j
to versionv2
, we have removed oldlog4j jars1.0
and movedlog4j
version 2.0 jars. Azure CLI
to version2.33.1
- Fixed
jupyterhub
access issue using public ip address - Redesign of Conda environments - we're continuing with alignment and refining the Conda environments so we created:
azureml_py38
: environment based on Python 3.8 with preinstalled Azure Machine Learning SDK containing also AutoML environmentazureml_py38_PT_TF
: additionalazureml_py38
environment, preinstalled with latestTensorFlow
andPyTorch
py38_default
: default system environment based onPython 3.8
- We have removed
azureml_py36_tensorflow
,azureml_py36_pytorch
,py38_tensorflow
andpy38_pytorch
environments.
March 18, 2022
Data Science Virtual Machine - Windows 2019
Version: 22.03.09
Main changes:
- Updated R environment - added libraries: Cluster, Devtools Factoextra, GlueHere, Ottr, Paletteer, Patchwork, Plotly, Rmd2jupyter, Scales, Statip, Summarytools, Tidyverse, Tidymodels and Testthat
- Further
Log4j
vulnerability mitigation - although not used, we moved alllog4j
to version v2, we have removed old log4j jars1.0 and movedlog4j
version 2.0 jars. - Azure CLI to version 2.33.1
- Redesign of Conda environments - we're continuing with alignment and refining the Conda environments so we created:
azureml_py38
: environment based on Python 3.8 with preinstalled Azure Machine Learning SDK containing also AutoML environmentazureml_py38_PT_TF
: complementary environmentazureml_py38
with preinstalled with latest TensorFlow and PyTorchpy38_default
: default system environment based on Python 3.8- we removed
azureml_py36_tensorflow
,azureml_py36_pytorch
,py38_tensorflow
andpy38_pytorch
environments.
March 9, 2022
Data Science Virtual Machine - Windows 2019
Version: 21.12.03
Windows 2019 DSVM will now be supported under publisher: microsoft-dsvm, offer ID: dsvm-win-2019, plan ID/SKU ID: winserver-2019
Users using Azure Resource Manager (ARM) template / virtual machine scale set to deploy the Windows DSVM machines, should configure the SKU with winserver-2019
instead of server-2019
, since we'll continue to ship updates to Windows DSVM images on the new SKU from March, 2022.
December 3, 2021
New image for Windows Server 2019.
Version: 21.12.03
Main changes:
- Updated pytorch to version 1.10.0
- Updated tensorflow to version 2.7.0
- Fix for Azure Machine Learning SDK & AutoML environment
- Windows Security update
- Improvement of stability and minor bug fixes
November 4, 2021
New image for Ubuntu 18.04.
Version: 21.11.04
Main changes:
- Changed .NET Framework to version 3.1.414
- Changed Azcopy to version 10.13.0
- Changed Azure CLI to version 2.30.0
- Changed CUDA to version 11.5
- Changed Docker to version 20.10.10
- Changed Intellijidea to version 2021.2.3
- Changed NVIDIA Drivers to version 470.103.01
- Changed NVIDIA SMI to version 470.103.01
- Changed Nodejs to version v16.13.0
- Changed Pycharm to version 2021.2.3
- Changed VS Code to version 1.61.2
- Conda
- azureml_py36_automl
- Changed azureml-core to version 1.35.0
- py38_default
- Changed Jupyter Lab / jupyterlab to version 3.2.1
- Changed Jupyter Notebook / notebook to version 6.4.5
- Changed Jupyter Server / jupyter_server to version 1.11.2
- Changed PyTorch Profiler TensorBoard Plugin / torch-tb-profiler to version 0.3.1
- Changed azure-core to version 1.19.1
- Changed matplotlib to version 3.4.3
- Changed mkl to version 2021.4.0
- Changed onnx to version 1.10.2
- Changed opencv-python to version 4.5.4.58
- Changed pandas to version 1.3.4
- Changed pytorch to version 1.10.0
- Changed scikit-learn to version 1.0.1
- Changed tensorflow-gpu to version 2.6.2
- azureml_py36_automl
October 7, 2021
New image for Ubuntu 18.04.
Version: 21.10.07
Main changes:
- Changed pytorch to version 1.9.1
- Changed Docker to version 20.10.9
- Changed Intellijidea to version 2021.2.2
- Changed Nodejs to version v14.18.0
- Changed Pycharm to version 2021.2.2
- Changed VS Code to version 1.60.2
- Fixed AutoML environment (azureml_py36_automl)
- Fixed Azure Storage Explorer stability
- Improvement of stability and minor bug fixes
August 11, 2021
New image for Windows Server 2019.
Version: 21.08.11
Main changes:
- Windows Security update
- Update of Nvidia CuDNN to 8.1.0
- Update of Jupyter Lab -to 3.0.16
- Added MLFLow for experiment tracking
- Improvement of stability and minor bug fixes
July 12, 2021
New image for Ubuntu 18.04.
Main changes:
- Updated to PyTorch 1.9.0
- Updated Azure CLI to 2.26.1
- Updated Azure CLI Azure Machine Learning extension to 1.29.0
- Update VS Code version 1.58.1
- Improvement of stability and minor bug fixes
June 22, 2021
New image for Windows Server 2019.
Version: 21.06.22
Main changes:
- Updated to PyTorch 1.9.0
- Fixed a bug where git wasn't available
June 1, 2021
New image for Ubuntu 18.04.
Version: 21.06.01
Main changes are:
- Docker is enabled by default
- JupyterHub is using JupyterLab by default
- Updated Python versions to fix CVE-2020-15523
- Updated IntelliJ IDEA to version 2021.1 to fix CVE-2021-25758
- Updated PyCharm Community to 2021.1
- Updated TensorFlow to version 2.5.0
Removed several icons from desktop.
May 22, 2021
New image for Windows Server 2019.
Version: 21.05.22
Selected version updates are:
- CUDA 11.1
- Python 3.8
- PyTorch 1.8.1
- TensorFlow 2.5.0
- Spark 3.1.1
- Java 11
- R 4.1.0
- Julia 1.0.5
- NodeJS 16.2.0
- Visual Studio Code 1.56.2 incl. Azure Machine Learning extension
- PyCharm Community Edition 2021.1.1
- Jupyter Lab 2.2.6
- RStudio 1.4.1106
- Visual Studio Community Edition 2019 (version 16.9.6)
- Azure CLI 2.23.0
- Storage Explorer 1.19.1
- AzCopy 10.10.0
- Power BI Desktop 2.93.641.0 64-bit (May 2021)
- Azure Data Studio 1.28.0
- Microsoft Edge browser
Removed Firefox, Apache Drill and Microsoft Integration Runtime.
Dark mode, changed icons on desktop, wallpaper background change.
May 12, 2021
New image for Ubuntu 18.04.
Selected version updates are:
- CUDA 11.3, cuDNN 8, NCCL2
- Python 3.8
- R 4.0.5
- Spark 3.1 incl. mmlspark, connectors to Blob Storage, Data Lake, Azure Cosmos DB
- Java 11 (OpenJDK)
- Jupyter Lab 3.0.14
- PyTorch 1.8.1 incl. torchaudio torchtext torchvision, torch-tb-profiler
- TensorFlow 2.4.1 incl. TensorBoard
- dask 2021.01.0
- VS.Code 1.56
- Azure Data Studio 1.22.1
- Azure CLI 2.23.0
- Azure Storage Explorer 1.19.1
- azcopy 10.10
- Microsoft Edge browser (beta)
Added docker. To save resources, the docker service isn't started by default. To start the docker service, run the following command-line commands:
sudo systemctl start docker
Note
If your machine has GPU(s), you can make use of the GPU(s) inside the containers by adding a --gpus
parameter to your docker command.
For example, running
sudo docker run --gpus all -it --rm -v local_dir:container_dir nvcr.io/nvidia/pytorch:18.04-py3
will run an Ubuntu 18.04 container with PyTorch pre-installed and all GPUs enabled. It will also make a local folder local_dir available in the container under container_dir.
February 24, 2020
Data Science Virtual Machine images for Ubuntu 18.04 and Windows 2019 images are now available.
October 8, 2019
Updates to software on the Windows DSVM
- Azure Storage Explorer 1.10.1
- Power BI Desktop 2.73.55xx
- Firefox 69.0.2
- PyCharm 19.2.3
- RStudio 1.2.50xx
Default Browser for Windows updated
Earlier, the default browser was set to Internet Explorer. Users are now prompted to choose a default browser when they first sign in.
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