From 5dff970221e50263f3f9f4622fea68c216b79016 Mon Sep 17 00:00:00 2001 From: Alexey Roytman Date: Mon, 13 May 2024 12:46:54 +0300 Subject: [PATCH] update RHEL requirements Signed-off-by: Alexey Roytman --- kfp/doc/simple_transform_pipeline.md | 6 ++---- kind/README.md | 3 ++- 2 files changed, 4 insertions(+), 5 deletions(-) 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)