Merge pull request #72 from vbedida79/patch-2

e2e_inference: Updated README.md

Author: uMartinXu

e2e/inference/README.md

@@ -3,13 +3,13 @@ Intel AI inference end-to-end solution with RHOCP is based on the Intel® Data C
 * Interactive mode – RHODS provides OpenVINO based Jupyter Notebooks for users to interactively debug the inference applications or [optimize the models](https://docs.openvino.ai/2023.0/openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html) on RHOCP using data center GPU cards or Intel Xeon processors.
 * Deployment mode – [OpenVINO Model Sever](https://github.com/openvinotoolkit/model_server) (OVMS) can be used to deploy the inference workloads in data center and edge computing environments on RHOCP.  
 ## Prerequisites
-* Provisioned RHOCP 4.12 cluster. Follow steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/tree/main#provisioning-rhocp-cluster).
-* Provisioning Intel Data Center GPU Flex Series [link](https://github.com/intel/intel-technology-enabling-for-openshift/tree/main#provisioning-intel-hardware-features-on-rhocp)
-* Setup node feature discovery (NFD). Follow the steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/nfd/README.md).
-* Setup machine configuration. Follow the steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/machine_configuration/README.md).
-* Setup out of tree drivers for Intel GPU provisioning. Follow the steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/machine_configuration/README.md).
-* Setup Intel device plugins operator and create Intel GPU device plugin. Follow the steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/device_plugins/deploy_gpu.md)  
-* Using Intel Data Center GPU Resource Exclusively [link](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/device_plugins/deploy_gpu.md#using-intel-data-center-gpu-resource-exclusively)
+* Provisioned RHOCP 4.12 cluster. Follow steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/tree/main#provisioning-rhocp-cluster)
+* Provisioning Intel Data Center GPU Flex Series. Follow steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/tree/main#provisioning-intel-hardware-features-on-rhocp)
+  * Setup node feature discovery (NFD). Follow the steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/nfd/README.md)
+  * Setup machine configuration. Follow the steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/machine_configuration/README.md)
+  * Setup out of tree drivers for Intel GPU provisioning. Follow the steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/machine_configuration/README.md)
+  * Setup Intel device plugins operator and create Intel GPU device plugin. Follow the steps [here](https://github.com/intel/intel-technology-enabling-for-openshift/blob/main/device_plugins/README.md)  
+
 ## Install RHODS
 The Red Hat certified RHODS operator is published at [Red Hat Ecosystem Catalog](https://catalog.redhat.com/software/container-stacks/detail/63b85b573112fe5a95ee9a3a). You can use the command line interface (CLI) or web console to install it.
 ### Install using CLI (To be added)