e2e_inference: Add rhods accelerator profile for Intel flex GPU

Signed-off-by: vbedida79 <veenadhari.bedida@intel.com>

Author: vbedida79

docs/images/accelerator-profile-dropdown.png

@@ -29,10 +29,26 @@ Follow this [link](https://github.com/openvinotoolkit/operator/blob/v1.1.0/docs/
 ## Work with interactive mode
 To enable the interactive mode, the OpenVINO notebook CR needs to be created and integrated with RHODS.  
 1.	Click on the ```create Notebook``` option in this [link](https://github.com/red-hat-data-services/odh-deployer) from the web console and follow these [steps](https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md) to create the notebook CR.
-2.	Enable Intel Data Center GPU 
+2.	Enable Intel Data Center GPU on RHODS Dashboard- **Technical Preview feature**
+
+Create AcceleratoProfile in the ```redhat-ods-applications``` namespace 
+
+```$ oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/e2e/inference/accelerator_profile.yaml```
+
+3. Navigate to ```openvino-notebooks``` ImageStream and add the above created ```AcceleratorProfile``` key to the annotation field, as shown in the image below:
+
+![Alt text](/docs/images/openvino-accelerator-field.png)
+
+4. Navigate to ```Search -> Networking -> Routes``` from the web console and access ```rhods-dashboard``` route in the ```redhat-ods-applications``` namespace, as in the image below. Click on the location link to launch RHODS dashboard. 
+   
+![Alt text](/docs/images/rhods-dashboard-route.png)
+ 
+5. If step 2 is successful, ```Intel® Data Center GPU Flex Series 140 ``` is shown in the accelerator dropdown menu in ```rhods-dashboard```. Users can run OpenVINO notebook image with Intel® Data Center GPU Flex Series 140 card. 
+   
+![Alt text](/docs/images/accelerator-profile-dropdown.png)
+
+Follow the [link](https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md) for more details on the available Jupyter Notebooks.
 
-3.	Run sample Jupyter Notebooks.
-Follow the [link](https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md) to execute the sample Jupyter Notebook There are 60+ sample notebooks 	available with this notebook image. For the details on the notebooks with Intel Data Center 	GPU, please check this [link](https://github.com/openvinotoolkit/openvino_notebooks).
 ## Work with deployment mode
 1.	From the web console, click on the ModelServer option in this [link](https://github.com/openvinotoolkit/operator/blob/v1.1.0/docs/operator_installation.md) and follow the [steps](https://github.com/openvinotoolkit/operator/blob/v1.1.0/docs/modelserver.md) to start the OVMS instance.  
 2.	To enable the Intel Data Center GPU, make sure to modify the OVMS instance options according to the screenshot below.

docs/images/openvino-accelerator-field.png

@@ -0,0 +1,13 @@
+apiVersion: dashboard.opendatahub.io/v1
+kind: AcceleratorProfile
+metadata:
+  name: intel-gpu-flex-series-140
+spec:
+  displayName: Intel® Data Center GPU Flex Series 140
+  description: Intel Data Center GPU for inference 
+  enabled: true
+  identifier: gpu.intel.com/i915
+  tolerations:
+  - effect: NoSchedule
+    key: gpu.intel.com/flex-140
+    operator: Exists