Merge pull request #251367 from sheetalarkadam/patch-2

Remove deprecated images

Author: prmerger-automator[bot]

articles/machine-learning/resource-azure-container-for-pytorch.md

@@ -45,19 +45,13 @@ The following configurations are supported:
 
 | Environment Name | OS | GPU Version| Python Version | PyTorch Version | ORT-training Version | DeepSpeed Version | torch-ort Version | Nebula Version | 
 | --- | --- | --- | --- | --- | --- | --- | --- | --- |
-|acpt-pytorch-2.0-cuda11.7|Ubuntu 20.04|cu117|3.8|2.0|1.15.0|0.9.5 |1.15.0|0.16.2|
-|acpt-pytorch-1.13-cuda11.7|Ubuntu 20.04|cu117|3.8|1.13.1|1.15.0|0.9.5|1.15.0|0.16.2|
-|acpt-pytorch-1.12-py39-cuda11.6|Ubuntu 20.04|cu116|3.9|1.12.1|1.15.0|0.9.5|1.15.0|0.16.2|
-|acpt-pytorch-1.12-cuda11.6|Ubuntu 20.04|cu116|3.8|1.12.1|1.15.0|0.9.5|1.15.0|0.16.2|
-|acpt-pytorch-1.11-cuda11.3|Ubuntu 20.04|cu113|3.8|1.11.0|1.15.0|0.9.5|1.15.0|0.16.2|
+|acpt-pytorch-2.0-cuda11.7|Ubuntu 20.04|cu117|3.8|2.0.1|1.15.1|0.9.5 |1.15.0|0.16.5|
+|acpt-pytorch-1.13-cuda11.7|Ubuntu 20.04|cu117|3.8|1.13.1|1.15.1|0.9.5|1.15.0|0.16.5|
 
 Other packages like fairscale, horovod, msccl, protobuf, pyspark, pytest, pytorch-lightning, tensorboard, NebulaML, torchvision, torchmetrics to support all training needs
 
 To learn more, see [Create custom ACPT curated environments](how-to-azure-container-for-pytorch-environment.md).
 
-> [!NOTE]
-> Currently, due to underlying cuda and cluster incompatibilities, on [NC series](../virtual-machines/nc-series.md) only acpt-pytorch-1.11-cuda11.3 with cuda 11.3 and torch 1.11 can be used.
-
 ## Support
 
 Version updates for supported environments, including the base images they reference, are released every two weeks to address vulnerabilities no older than 30 days. Based on usage, some environments may be deprecated (hidden from the product but usable) to support more common machine learning scenarios.