diff --git a/modules/overview-of-accelerators.adoc b/modules/overview-of-accelerators.adoc
index ed4a8be2..b41512ce 100644
--- a/modules/overview-of-accelerators.adoc
+++ b/modules/overview-of-accelerators.adoc
@@ -18,7 +18,6 @@ If you work with large data sets, you can use accelerators to optimize the perfo
 **   To enable GPUs on OpenShift, you must install the link:https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/index.html[NVIDIA GPU Operator].
 * Habana Gaudi devices (HPUs)
 ** Habana, an Intel company, provides hardware accelerators intended for deep learning workloads. You can use the Habana libraries and software associated with Habana Gaudi devices available from your notebook.
-** Before you can successfully enable Habana Gaudi devices on {productname-short}, you must install the necessary dependencies and version 1.10 of the HabanaAI Operator. For more information about how to enable your OpenShift environment for Habana Gaudi devices, see link:https://docs.habana.ai/en/v1.10.0/Orchestration/HabanaAI_Operator/index.html[HabanaAI Operator for OpenShift]. 
 ** Before you can enable Habana Gaudi devices in {productname-short}, you must install the necessary dependencies and the version of the HabanaAI Operator that matches the Habana version of the HabanaAI workbench image in your deployment. For more information about how to enable your OpenShift environment for Habana Gaudi devices, see link:https://docs.habana.ai/en/v1.10.0/Orchestration/HabanaAI_Operator/index.html[HabanaAI Operator v1.10 for OpenShift] and link:https://docs.habana.ai/en/v1.13.0/Orchestration/HabanaAI_Operator/index.html[HabanaAI Operator v1.13 for OpenShift].
 ** You can enable Habana Gaudi devices on-premises or with AWS DL1 compute nodes on an AWS instance.