Merge pull request #239 from Jagatjeet/main

Update azure-machine-learning-ci-image-release-notes.md for Image Version: `24.12.31`

Author: ttorble

articles/machine-learning/azure-machine-learning-ci-image-release-notes.md

@@ -20,6 +20,36 @@ Azure Machine Learning checks and validates any machine learning packages that m
 
 Main updates provided with each image version are described in the below sections.
 
+##  February 11, 2025
+
+Image Version: `25.01.31`
+
+Release Notes:
+
+SDK Version: `1.59.0`
+
+##  January 15, 2025
+
+Image Version: `24.12.31`
+
+Release Notes:
+
+SDK Version: `1.57.0`
+
+Jupyter-core: `5.7.2`
+
+nvdia_docker2: installed
+
+gnomeshell: removed
+
+ml: '2.32.4'
+
+Nvidia Driver:  `535.216.03`
+
+`CUDA`: `12.2`
+
+'nginx': Server status was Failed. nginx issue fixed and the status is Running.
+
 ## December 18, 2024
 
 Image Version: `24.12.09`

articles/machine-learning/data-science-virtual-machine/release-notes.md

@@ -21,6 +21,41 @@ Azure portal users can find the latest image available for provisioning the Data
 
 Visit the [list of known issues](reference-known-issues.md) to learn about known bugs and workarounds.
 
+## February 18, 2025
+
+[Data Science VM – Ubuntu 20.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-2004?tab=Overview)
+
+Version `25.02.13`
+
+- SDK `1.59.0`
+- NVDIA `535.183.01`
+- Cuda `cuda_12.2.r12`
+- Python `3.10.8`
+  
+## February 7, 2025
+
+[Data Science Virtual Machine - Windows 2022](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2022?tab=Overview)
+
+Version  `25.02.03`
+
+- SDK `1.59.0`
+  
+## February 4, 2025
+
+[Data Science Virtual Machine - Windows 2019](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019?tab=Overview)
+
+Version  `25.01.31`
+
+- SDK `1.59.0`
+
+## January 22, 2025
+
+[Data Science VM – Ubuntu 22.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-2004?tab=Overview)
+
+Version  `25.01.20`
+
+- SDK `1.59.0`
+
 ## October 21, 2024
 
 [Data Science Virtual Machine – Ubuntu 22.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-2204?tab=Overview)

articles/machine-learning/how-to-migrate-from-v1.md

@@ -40,15 +40,6 @@ You should use v2 if you're starting a new machine learning project or workflow.
 
 A new v2 project can reuse existing v1 resources like workspaces and compute and existing assets like models and environments created using v1. 
 
-Some feature gaps in v2 include:
-
-- Spark support in jobs -  currently in preview in v2.
-- Publishing jobs (pipelines in v1) as endpoints. You can however, schedule pipelines without publishing.
-- Support for SQL/database datastores.
-- Ability to use classic prebuilt components in the designer with v2.
-
-You should then ensure the features you need in v2 meet your organization's requirements, such as being generally available. 
-
 > [!IMPORTANT]
 > New features in Azure Machine Learning will only be launched in v2.