diff --git a/kfp/doc/simple_transform_pipeline.md b/kfp/doc/simple_transform_pipeline.md
index dfa623551..92e2af22c 100644
--- a/kfp/doc/simple_transform_pipeline.md
+++ b/kfp/doc/simple_transform_pipeline.md
@@ -218,10 +218,8 @@ using the following command:
 ````
 
 We tested Kind cluster installation on multiple platforms, including Intel Mac, 
-AMD Mac (see [this](deployment_on_MacOS.md)), Windows, 
-RHEL(see [this](https://github.ibm.com/dettori/ks-integrations/blob/main/kfp/docs/RHEL-KS-install.md#increasing-limits)
-for additional RHEL configurations) and Ubuntu. Additional platform can be used, but might
-require additional configuration and testing.
+AMD Mac (see [this](deployment_on_MacOS.md)), WSL on Windows, 
+RHEL and Ubuntu. Additional platform can be used, but might require additional configuration and testing.
 
 ### Preparing an existing Kubernetes cluster
 Alternatively you can deploy pipeline to the existing Kubernetes cluster. 
diff --git a/kind/README.md b/kind/README.md
index ccd543c80..5c35545e2 100644
--- a/kind/README.md
+++ b/kind/README.md
@@ -5,7 +5,8 @@
 ### Supported platforms
 A Kind cluster is not intended for production purposes; it is only meant as a local execution example. However,
 running a Kind Kubernetes cluster with KubeFlow pipelines (KFP) and local data storage (Minio) requires significant
-memory. Therefore, we recommend deploying it on machines with at least 32 GB of RAM and 8-9 CPU cores.
+memory. Therefore, we recommend deploying it on machines with at least 32 GB of RAM and 8-9 CPU cores. RHEL OS requires 
+more resources, e.g. 64 GB RAM and 32 CPU cores.
 
 > **Note**: for MacOS users, see the following [comments](../doc/mac.md)