Merge pull request #12 from intel/uMartinXu-patch-2

inference: update README.md

Author: uMartinXu

e2e/inference/README.md

@@ -1,12 +1,14 @@
 ## Intel AI Inference E2E Solution for OpenShift
 
 ### Overview
-Intel AI inference e2e solution for OCP is built upon Intel® dGPU provisioning for OpenShift and Intel® Xeon® processors. Two AI inferencing modes are supported:
+Intel AI inference e2e solution for OCP is built upon Intel® dGPU provisioning for OpenShift and Intel® Xeon® processors. The two following AI inference modes are used to test with the Intel Data Center GPU Card provisioning:
 * **Interactive Mode**
-[Open Data Hub (ODH)](https://github.com/opendatahub-io) and [Red Hat OpenShift Data Science (RHODS)](https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-data-science) provides Intel OpenVINO™ based [Jupiter Notebook](https://jupyter.org/) to help users interactively debug the inferencing applications or optimize the models with OCP using Intel Data Center GPU cards and Intel Xeon processors.
+[Open Data Hub (ODH)](https://github.com/opendatahub-io) and [Red Hat OpenShift Data Science (RHODS)](https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-data-science) provides Intel® OpenVINO™ based [Jupiter Notebook](https://jupyter.org/) to help users interactively debug the inferencing applications or optimize the models with OCP using Intel Data Center GPU cards and Intel Xeon processors.
 *	**Deployment Mode**
 [Intel OpenVINO™ Toolkit](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html) and [Operator](https://github.com/openvinotoolkit/operator) provide the [OpenVINO Model Server (OVMS)](https://github.com/openvinotoolkit/model_server) for users to deploy their inferencing workload using Intel Data Center GPU cards and Intel Xeon processors on OCP cluster in cloud or edge environment.
 
+     `note: The verification on this mode is ongoing`
+
 ### Deploy Intel AI Inference E2E Solution
 
 * **Install RHODS on OpenShift**