Merge pull request #253671 from vijetajo/patch-129

Update how-to-manage-quotas.md

Author: prmerger-automator[bot]

articles/machine-learning/how-to-manage-quotas.md

@@ -113,7 +113,7 @@ The following table shows more limits in the platform. Reach out to the Azure Ma
 | Nodes in a single Parallel Run Step **run** on an Azure Machine Learning compute (AmlCompute) cluster | 100 nodes but configurable up to 65,000 nodes if your cluster is set up to scale as mentioned previously |
 | Nodes in a single Azure Machine Learning compute (AmlCompute) **cluster** set up as a communication-enabled pool | 300 nodes but configurable up to 4,000 nodes |
 | Nodes in a single Azure Machine Learning compute (AmlCompute) **cluster** set up as a communication-enabled pool on an RDMA enabled VM Family | 100 nodes |
-| Nodes in a single MPI **run** on an Azure Machine Learning compute (AmlCompute) cluster | 100 nodes but can be increased to 300 nodes |
+| Nodes in a single MPI **run** on an Azure Machine Learning compute (AmlCompute) cluster | 100 nodes |
 | Job lifetime | 21 days<sup>1</sup> |
 | Job lifetime on a low-priority node | 7 days<sup>2</sup> |
 | Parameter servers per node | 1 |