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update RHEL requirements #118

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May 13, 2024
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6 changes: 2 additions & 4 deletions kfp/doc/simple_transform_pipeline.md
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Expand Up @@ -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.
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3 changes: 2 additions & 1 deletion kind/README.md
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Expand Up @@ -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)

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